Description Amazon project tez partnered with IN-COBRA (center of business reporting and analytics), requires a BIE who will help us make effective decisions based on data from multiple sources, compiling it and triangulating it into a digestible and actionable format and dashboards. This will help us provide historic information on our business metrics, our customer metrics and make effective decisions for future. The BI will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of the project tez programs. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program. Key job responsibilities Develop and streamline necessary dashboards and one-off analyses, providing ability to surface business-critical KPIs, monitor the health of metrics and effectively communicate performance. Partner with stakeholders and other Business Intelligence teams to acquire necessary data for robust analysis. Convert data into insights including implications and recommendations that are specific and actionable for the project tez teams and across the business. Partner with other analysts as well as data engineering and technology teams to support building a best-in-class dashboards and data infrastructure. Communicate insights using data visualization and presentations to stakeholders The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka - B56 Job ID: A2930300 Show more Show less

Description As a Business Intelligence Engineer, you will be deciphering our customers' ever-evolving needs and shaping solutions that elevate their experience with Amazon. We are seeking someone who thrives on ambiguity, harnessing their problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, will be instrumental in navigating the complex landscape of our initiatives for Specialty Reading charter within Amazon Books. A Successful Candidate Will Possess Strong analytical and problem-solving skills, leveraging data and metrics to inform strategic decisions. Impeccable attention to detail and a clear and compelling communication skills, capable of articulating data insights to diverse stakeholders. Key job responsibilities Deliver on all analytics requirements across business areas. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, data pipelines etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Perform both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the data speak for itself. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Build automation to reduce dependencies on manual data pulls etc. A day in the life A day in the life of Business Intelligence Engineer will include working closely with Product Managers and Software Developers. Working on building dashboards, performing root cause analysis and sharing actionable insights with the stakeholders to enable data-informed decision making. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with data visualization using Tableau, Quicksight, or similar tools Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Bachelor's degree, or Advanced technical degree Experience with statistical analysis, co-relation analysis Knowledge of data modeling and data pipeline design Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A2931584 Show more Show less

Back Who Are We At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications. This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go. Thrive in diverse roles like Full Stack Developer, Backend Developer, UI/UX Designer, DevOps Engineer, Cloud Engineer, Data Science Engineer, and Scrum Master; at a workplace that encourages you to freely share your bold and different ideas. If you are passionate about technology and eager to make a difference, we want to hear from you! Apply now to join our dynamic team in Bengaluru. The role demands strong leadership skills with a focus on risk management and the ability to deliver results-oriented outcomes. The candidate must understand business needs, maintain a customer-focused approach, and demonstrate the ability to adapt and work in a fast-paced environment, managing multiple projects and tolerating ambiguity effectively. Key Responsibilities experience in business intelligence related functions (testing, analysis, coding, etc.)Architect and provide guidance on building end-to-end systems optimized for speed and scale Proficiency in programming languages including SAS, Oracle and Teradata SQL Strong knowledge of relational databases- My sql, DB2, etc Autonomous and self-motivated with an ability to prioritize Experience working in agile Technology Skills Advanced SQL skills - preferable Teradata Working knowledge of SAS Viya- New cloud product (Good to have) Google Cloud experience includeing BIG Query- GCP prefer, we can also look for other Clouds Working knowledge of MicroStrategy Strong leadership skills with risk-management Results-oriented Understanding of business needs/input, customer focus Ability to adapt and work in a fast paced environment with good tolerance to ambiguity and manage multiple projects Required Qualifications To Be Successful In This Role Work with multiple teams to collect and document business requirements / User Stories Work within various database environments such as Teradata and SAS to design, develop and deliver data solutions, ensuring accuracy and quality Design, construct, modify, integrate, implement and test data models and database management systems Utilize advanced SQL to analyze data and perform data mining analysis. Effectively manage data mining analysis and report to various stakeholders Establish & maintain effective relationships with cross-functional product teams, colleagues and process teams, including virtual environment (i.e. conference calls, videoconference) Additional Information Job Type : Permanent Full Time Work Profile : Hybrid (Work from Office/ Remote) Years of Experience : 8-10Years Location : Bangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options. Professional development and training opportunities. A supportive and inclusive work environment Show more Show less

This role could be based in India, China, Malaysia or Singapore. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you only select a country where the role is based This is a pivotal role that bridges the gap between advanced AI technologies and delivery of AI use cases of the bank. This position involves designing, optimizing, and managing AI prompts to enhance the performance of language models, ensuring they align with business objectives. Additionally, the role requires analyzing complex datasets to extract actionable insights, supporting strategic initiatives and enhancing operational efficiency. The ideal candidate will possess a unique blend of technical expertise in AI and data analytics. This role will be part of AI squad and will work closely with internal staff, clients and 3rd parties. Key Responsibilities Strategy Delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tool of the bank. Business Accelerate delivery of AI uses cases for various Business Functions of the bank with focus on, Responsibilities Design and Optimize AI Prompts: Develop, test, and refine AI prompts to ensure optimal performance and alignment with business goals. Data Analysis and Interpretation: Analyze large datasets to uncover trends, patterns, and insights that support strategic decision-making. Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and business stakeholders to integrate AI solutions into banking operations. Continuous Improvement: Stay updated with the latest advancements in AI and data analytics to continuously improve the quality and efficiency of AI models and data analysis processes. Documentation and Training: Document processes, methodologies, and findings, and provide training to team members on best practices in prompt engineering and data analysis. Accountabilities Quality and Performance: Accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank s standards and objectives. Compliance: Responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements. Stakeholder Satisfaction: Accountable for delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the banks strategic goals. People Talent Work with a team of data science analysts and full stack AI developers. Risk Management Ensure all data handling and analysis processes comply with the bank s data privacy and cybersecurity standards. Governance Develop and implement change management plans to ensure successful adoption of AI solutions across the organization. Provide training and support to business users to help them understand and leverage AI tools and technologies. Foster a culture of innovation and continuous improvement by promoting the benefits of AI and encouraging experimentation. Regulatory Business Conduct Display exemplary conduct and live by the Group s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders CDO Squads, Business Partners, ITO, internal staff, clients and 3rd parties. Other Responsibilities Embed Here for good and Group s brand and values in AI squad deployed to various Business and Functions; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures. Identify and prioritize AI use cases that have the potential to deliver significant business value. Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation. Skills and Experience Software development experience using . Net framework or Java Completed real world ML, NLP and DO projects using R or Python Extensive experience in SQL and NoSQL database design, queries and stored procedures Hands-on experience with Windows Server, Azure, AWS and Git Highly proficient in data visualisation tools. . . Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc. Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc. Process/Data Modelling - As Is/To Be/ Visio/Enterprise Architect/System Architect, Etc. Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python) Good experience with Business Intelligence tools and Decision Support Systems Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy and Tableau. Proven experience in working with key stakeholders within the business Proven problem-solving skills Workshop Facilitation Qualifications EDUCATION Graduate or Master Knowledge Engineering or Data science. TRAINING Completed real world ML, NLP and DO projects using Python LANGUAGES English About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 29485

Description Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. As a BIE, you'll uncover business insights using product data that will help us make strategic decisions both for short term priorities and long term investments. You'll be working with the tech leaders to identify gaps in our data practices and help address them. You will partner with PMs, Solution Architects, TPMs and other stakeholders to run data analysis for some of the challenging customer problems. Key job responsibilities Develop and lead design and execution of reporting solutions for product data Work with product managers, data engineers, data scientists, and software engineers to define reporting needs Build self-service tools and dashboard that not only gives aggregated metrics but also provide ways to pull granular data for defect verification, customer communication, deep-dives, etc. Perform deep-dives and data analysis. Provide recommendation on new metrics or business decision. Mentor teammates, provide inputs in team and org level strategic planning, lead cross org discussions Internal Job Description To apply for this role, candidates must initiate an informational meeting with the hiring manager by clicking the "Request Informational" button at the top of the job listing.. For more on informational discussions, visit: https://ivy-help-center.talent.a2z.com/article/2gLzMFp5I3TMfchHDv03w2?ref=share-button To understand the internal transfer process and frequently asked questions, refer to: https://ivy-help-center.talent.a2z.com/article/5TdnwN6zJXjHvREhjtTdAJ?ref=share-button Visit our Internal Candidate Resource for fast answers to frequently asked questions (FAQs) from pre-application to pre-offer stages of the internal transfer process within My HR. Note, this resource is currently accessible for WWAS employees only. Internal Candidate Resource Center: https://atoz.amazon.work/myhr/category/my_employment/type/internal_transfers Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ - H84 Job ID: A2952164 Show more Show less

Back Who Are We At BCE Global Tech, immerse yourself in exciting projects that are shaping the future of both consumer and enterprise telecommunications. This involves building innovative mobile apps to enhance user experiences and enable seamless connectivity on-the-go. Thrive in diverse roles like Full Stack Developer, Backend Developer, UI/UX Designer, DevOps Engineer, Cloud Engineer, Data Science Engineer, and Scrum Master; at a workplace that encourages you to freely share your bold and different ideas. If you are passionate about technology and eager to make a difference, we want to hear from you! Apply now to join our dynamic team in Bengaluru. The role demands strong leadership skills with a focus on risk management and the ability to deliver results-oriented outcomes. The candidate must understand business needs, maintain a customer-focused approach, and demonstrate the ability to adapt and work in a fast-paced environment, managing multiple projects and tolerating ambiguity effectively. Key Responsibilities experience in business intelligence related functions (testing, analysis, coding, etc.)Architect and provide guidance on building end-to-end systems optimized for speed and scale Proficiency in programming languages including SAS, Oracle and Teradata SQL Strong knowledge of relational databases- My sql, DB2, etc Autonomous and self-motivated with an ability to prioritize Experience working in agile Technology Skills Advanced SQL skills - preferable Teradata Working knowledge of SAS Viya- New cloud product (Good to have) Google Cloud experience includeing BIG Query- GCP prefer, we can also look for other Clouds Working knowledge of MicroStrategy Strong leadership skills with risk-management Results-oriented Understanding of business needs/input, customer focus Ability to adapt and work in a fast paced environment with good tolerance to ambiguity and manage multiple projects Required Qualifications To Be Successful In This Role Work with multiple teams to collect and document business requirements / User Stories Work within various database environments such as Teradata and SAS to design, develop and deliver data solutions, ensuring accuracy and quality Design, construct, modify, integrate, implement and test data models and database management systems Utilize advanced SQL to analyze data and perform data mining analysis. Effectively manage data mining analysis and report to various stakeholders Establish & maintain effective relationships with cross-functional product teams, colleagues and process teams, including virtual environment (i.e. conference calls, videoconference) Additional Information Job Type : Permanent Full Time Work Profile : Hybrid (Work from Office/ Remote) Years of Experience : 8-10Years Location : Bangalore What We Offer Competitive salaries and comprehensive health benefits Flexible work hours and remote work options. Professional development and training opportunities. A supportive and inclusive work environment Show more Show less

About Lowe’s Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. About The Team The Pro & Services Reporting team is responsible to perform quantitative analysis or dashboard building needed to help guide key business decisions. This includes applying knowledge of Lowe's data concepts to the creation of relevant analytic designs and making sound, data‐driven business recommendations. Job Summary The Manager Pro & Services Reporting is responsible for partnering with Pro & Services business stakeholders to define and execute Reporting and Analytics tools and resources. He/she will do this by acting as a subject matter expert and thought leader on their respective team, partnering with DACI and other Reporting & Analytics team in the organization, and taking on the responsibility of managing and developing a team of Individual Contributors. To be successful in this role, the Manager Pro & Services Reporting must have strong knowledge of analytical and reporting principles in addition to experience supporting a business unit in a cross-functional organization. Core Responsibilities Manages a team of Analysts who will provide reporting and insights to Pro & Services business units, including determining capacity and assigning work based on priorities. Coaches and develops analysts on best practices and technical expertise and provides strategic direction. Assists Analysts on technical work, reviewing for accuracy and providing technical help to analysts as needed. Provides subject matter expertise to business partners for matters concerning data availability, reportability, and accessibility. Assists team on gathering business requirements and translates into reporting solutions, analytic tools, and dashboards to deliver actionable data to end users. Collaborates cross-functionally with other teams, including serving as a liaison between Pro & Service business teams and DACI, ensuring all requirements are documented, communicated, and prioritized. Communicates data driven insights to senior leaders by preparing analyses using multiple data sources, translating findings into clear, understandable themes, identifying complete, consistent, and actional insights and recommendations. Develops, configures, and modifies database components within various environments by using tools such as SQL and/or Power BI to access, manipulate, and present data. Years Of Experience Overall, 8 to 12 years of Experience with 2+ years of experience leading people directly or indirectly. Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor’s degree in business administration, Finance, Mathematics, or Related Fields and 6 Years Related Experience OR Master’s Degree in in Business Administration, Finance, Mathematics, or Related Fields and 4 Years Related Experience. Primary Skills (must Have) 8-10 years of overall experience with 2+ years of experience leading people directly or indirectly. 6+ years of applied reporting and analytics experience supporting a business unit in retail, technology, or other customer driven organization. 4+ years of experience using analytic tools (e.g., SQL, Alteryx, Knime, SAS). 4+ years of experience using data visualization tools (e.g., Power BI, Microstrategy, Tableau). 4+ years of experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Oracle, DB2). Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Job Title: QA Engineer Job ID: 0467 Work Location: Pune (Onsite) Experience: 3 – 5 Years Salary Range: ₹10 – ₹15 LPA About The Role We are seeking an experienced and detail-oriented QA Engineer to join our team in Pune. In this role, you will lead quality assurance efforts across multiple projects, ensuring the delivery of high-performing, reliable, and scalable software solutions. If you are passionate about quality, experienced with testing frameworks, and ready to take ownership of testing processes and team leadership, we’d love to connect with you. Key Responsibilities Develop and execute comprehensive test strategies and plans. Oversee the test lifecycle, including functional, integration, and regression testing. Manage defect tracking, root cause analysis, and resolution coordination. Provide mentorship to junior QA engineers, fostering a culture of continuous improvement. Drive process enhancements through innovative testing practices. Collaborate closely with cross-functional teams including development, data, and business stakeholders to ensure quality outcomes. Required Skills & Experience 3–5 years of hands-on experience in software testing or QA roles, including team leadership. Proven proficiency with test management and bug-tracking tools such as JIRA, TestRail, Confluence, or qTest. Practical experience with test automation tools like Selenium, QTP, or similar. Solid exposure to big data, cloud technologies, data engineering, or analytics – OR experience with reporting/data tools such as SQL, Power BI, Tableau, Excel, MicroStrategy, Informatica, or Python. Strong track record of managing testing for complex, data-driven applications. Experience in guiding team members and implementing QA best practices. What We’re Looking For A sharp eye for detail and strong analytical thinking. Effective leadership skills with a collaborative, team-first mindset. Excellent verbal and written communication skills for interacting with both technical and business teams. Ability to manage multiple tasks and deliver quality results under tight deadlines. Why Join Us? Work on impactful projects that shape enterprise-level solutions. Lead a talented team and contribute to quality excellence. Be part of a forward-thinking organization that values innovation and collaboration. Skills: big data,sql,software testing,selenium,microstrategy,test management,qtp,power bi,python,qa,jira,testing,testrail,confluence,excel,qtest,cloud technologies,qa automation,test automation,analytics,bug tracking,informatica,data engineering,tableau Show more Show less

Position Summary JOB DESCRIPTION This position is being hired for Data Analyst position in Data Management Team. Job Function And Responsibilities Create and apply new data quality rules based on business requirements. Identify, measure, and report poor data quality issues for resolution. Analyze data sources to find patterns and inconsistencies. Investigate data quality problems and escalate to management for remediation. Document data dictionaries for Critical Data Elements Respond to queries from the data stewardship mailbox. Work with departments to ensure data accuracy and quality. Should be able to convert business requirements into SQL Queries Qualification Education: Bachelor’s/master’s degree in engineering/computer applications Strong understanding of RDMBS databases such as Oracle and Sql Server Good understanding of Business Intelligence tools such as MicroStrategy and Power BI Strong understanding of programming / coding specifically – Structured Query Language, Python. Strong Understanding of Data Warehousing concepts. Good to have Expertise in Advance Excel (Macros) Work Schedule Or Travel Requirements Mid Shift (2PM – 11PM), No Travel required. Show more Show less

Build the future of the AI Data Cloud. Join the Snowflake team. The Technical Instructor for the Snowflake Customer Education and Training Team will be responsible for creating and delivering compelling education contents and training sets that make complex concepts come alive in instructor-led classroom venues. The senior instructor will be seen as a subject matter expert and leader in transferring knowledge of Snowflake to customers, partners and internals and in accelerating their technical on-boarding journey. This role will also be responsible for the cross-training efforts, program management and help strategically ramp multiple resources within our external stakeholders. This role is a unique opportunity to contribute in a meaningful way to high value and high impact delivery at a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience teaching data courses to customers and possess excellent presentation and communication skills, we’d love to hear from you. AS A TECHNICAL INSTRUCTOR AT SNOWFLAKE, YOU WILL: Teach a breadth of technical courses to onboard customers and partners to Snowflake, the data warehouse built for the Cloud Cross-train a breadth of technical courses to qualified individuals and resources The scope of course concepts may include foundational and advanced courses in the discipline which includes Snowflake data warehousing concepts, novel SQL capabilities, data consumption and connectivity interfaces, data integration and ingestion capabilities, database security features, database performance topics, Cloud ecosystem topics and more Apply database and data warehousing industry/domain/technology expertise and experience during training sessions to help customers and partners ease their organizations into the Snowflake data warehouse from prior database environments Deliver contents and cross train on delivery best practices using a variety of presentation formats including engaging lectures, live demonstration, and technical labs Work with customers and partners that are investing in the train the trainer program to certify their selected trainers ensuring they are well prepared and qualified to deliver the course at their organization Strong eye for design, making complex training concepts come alive in a blended educational delivery model Work with the education content developers to help prioritize, create, integrate, and publish training materials and hands-on exercises to Snowflake end users; drive continuous improvement of training performance Work with additional Snowflake subject-matter-experts in creating new education materials and updates to keep pace with Snowflake product updates OUR IDEAL TECHNICAL INSTRUCTOR WILL HAVE: Strong data warehouse and data-serving platform background Recent experience with using SQL including potentially in complex workloads 5-10 years of experience in technical content training development and delivery Strong desire and ability to teach and train Prior experience with other databases (e.g. Oracle, IBM Netezza, Teradata,…) Excellent written and verbal communication skills Innovative and assertive, with the ability to pick up new technologies Presence: enthusiastic and high energy, but also poised, confident and extremely professional Track record of delivering results in a dynamic start-up environment Experience working cross functionally, ideally with solution architects, technical writers, and support Strong sense of ownership and high attention to detail Candidates with degrees from fields such as Computer Science or Management Information Systems Comfortable with travel up to 75% of the time BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING: Experience with creating and delivering training programs to mass audiences Experience with other databases (e.g. Teradata, Netezza, Oracle, Redshift,…) Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase,…) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau,…) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure,…) Experience with ETL pipelines tools Experience using AWS and Microsoft services Participated in Train the Trainer programs Proven success at enterprise software startups Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com Show more Show less

About The Role : We are seeking a highly skilled and experienced MSTR (MicroStrategy) Developer to join our Business Intelligence team. In this role, you will be responsible for the design, development, implementation, and maintenance of robust and scalable BI solutions using the MicroStrategy platform. Your primary focus will be on leveraging your deep understanding of MicroStrategy architecture and strong SQL skills to deliver insightful and actionable data to our stakeholders. This is an excellent opportunity to contribute to critical business decisions by providing high-quality BI solutions. Responsibilities - Design, develop, and deploy MicroStrategy objects including reports, dashboards, cubes (Intelligent Cubes, OLAP Cubes), documents, and visualizations. - Utilize various MicroStrategy features and functionalities such as Freeform SQL, Query Builder, MDX connectivity, and data blending. - Optimize MicroStrategy schema objects (attributes, facts, hierarchies) for performance and usability. - Implement security models within MicroStrategy, including user and group management, object-level security, and data-level security. - Perform performance tuning and optimization of MicroStrategy reports and dashboards. - Participate in the administration and maintenance of the MicroStrategy environment, including metadata management, project configuration, and user support. - Troubleshoot and resolve issues related to MicroStrategy reports, dashboards, and the overall platform. - Write complex and efficient SQL queries to extract, transform, and load data from various data sources. - Understand database schema design and data modeling principles. - Optimize SQL queries for performance within the MicroStrategy environment. - Work with different database platforms (e.g., Oracle, SQL Server, Teradata, Snowflake) and understand their specific SQL dialects. - Develop and maintain database views and stored procedures to support MicroStrategy development. - Collaborate with business analysts and end-users to understand their reporting and analytical requirements. - Translate business requirements into technical specifications for MicroStrategy development. - Participate in the design and prototyping of BI solutions. - Develop and execute unit tests and integration tests for MicroStrategy objects. - Participate in user acceptance testing (UAT) and provide support to end-users during the testing phase. - Ensure the accuracy and reliability of data presented in MicroStrategy reports and dashboards. - Create and maintain technical documentation for MicroStrategy solutions, including design documents, user guides, and deployment instructions. - Provide training and support to end-users on how to effectively use MicroStrategy reports and dashboards. - Adhere to MicroStrategy best practices and development standards. - Stay updated with the latest MicroStrategy features and functionalities. - Proactively identify opportunities to improve existing MicroStrategy solutions and processes. Required Skills and Expertise - Strong proficiency in MicroStrategy development (5+ years of hands-on experience is essential). This includes a deep understanding of the MicroStrategy architecture, object creation, report development, dashboard design, and administration. - Excellent SQL skills (5+ years of experience writing complex queries, optimizing performance, and working with various database systems). - Experience in data modeling and understanding of dimensional modeling concepts (e.g., star schema, snowflake schema). - Solid understanding of BI concepts, data warehousing principles, and ETL processes. - Experience in performance tuning and optimization of MicroStrategy reports and SQL queries. - Ability to gather and analyze business requirements and translate them into technical specifications. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills, with the ability to work effectively with both technical and business stakeholders. - Experience with version control systems (e.g., Git). - Ability to work independently and as part of a team. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Technical Manager, Data Engineering As a Data Engineering Sr. Manager, you will execute on new Data Engineering products and features in collaboration with Data Science, and Business teams. Scope: This role focuses on managing, supporting delivery and strategic initiatives such as data ingestion, integration, transformation, reporting and analytics. Broadly, it will work with every functional area of data engineering, data reporting, data science teams & multiple Business partners. Essential Job Functions : The incumbent must be able to perform all of the following duties and responsibilities w ith or without a reasonable accommodation. Lead the data strategy, and own the vision and roadmap of data products to enable decision making and self-service for business and analytics teams Solid experience in emerging and traditional data stack components such as: batch and real time data ingestion, ETL, ELT, orchestration tools, on-prem and cloud DW, Python, structured, semi and unstructured databases. Collaborate closely with Data Engineering and Product team to execute on the set roadmap of data ingestion, integration, reporting and data transformation. Work cross-functionally with enterprise-wide stakeholders including (but not limited to) Analytics, Data Science, FP&A, Accounting, merchandising, pricing teams. Build a continuous monitoring process and tools to track the data management, data quality, and execute cleaning activities. Track the overall data transformation initiative and provide feedback or suggestions from a risk management perspective. Design, provide training and mentor/coach other team members. Work with stakeholders to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning. Ensure the safe storage and transmission of data in line with privacy and compliance laws, data regulations, and internal company policies. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Supervisory Responsibility Position will manage a team comprising of Data, Integration, QA engineers and Scrum Master. Education and Experience Bachelor s or Advanced degree in Information Systems, Information Management, Engineering, or related field 10+ years of experience in data management, data warehousing and handling data engineering 5+ years of experience in Manager/Lead role managing set of engineers including hiring and performance evaluations. 3+ years managing big data technology stack and restful APIs. Strong knowledge of designing data pipelines and understanding details around orchestration, integration, data transformations. Excellent communication skills, both verbal and written, and the ability to build trust-based relationships with business partners Technical knowledge in BI tools such as MicroStrategy, Looker. Proven record of handling, managing, collaborating and delivering data products on time and meeting quality standards. Competencies Demonstrate Adaptability and Desire to Learn -- Works productively in the face of ambiguity or uncertainty. Demonstrates flexibility and resilience in response to obstacles, constraints, adversity, and mistakes. Constructively and resourcefully adapts to changing needs, conditions, priorities or opportunities. Seeks out opportunities to learn from new discoveries, innovations, ways of looking at things, knowledge, and ideas. Invites and incorporates feedback, without becoming defensive. Perform Analysis -- Integrates information from a variety of sources to arrive at a broader understanding of issues (e.g., company reports plus in-store observations). Defines issues clearly despite incomplete or ambiguous information. Identifies the key issues in complex or ambiguous problems. Approaches problems or issues systematically, looking for connections, trends, and potential causes. Probes and looks past symptoms to determine the underlying causes of problems and issues. Plan and Execute -- Develops realistic plans (e.g., action steps, timelines) to accomplish objectives. Acquires and leverages resources, processes, and tools to achieve business goals. Prioritizes and balances time, actions, and projects to ensure accomplishment of results. Holds him/herself and team accountable for outcomes (e.g., achieving goals and complying with policies and procedures). Anticipates and addresses obstacles, redirecting efforts to accelerate the work or improve quality. Produce Results -- Initiates decisive, timely action to address important issues. Demonstrates a strong sense of ownership and a commitment to achieving meaningful results. Sets challenging, clear goals/targets and expectations for achieving business results. Drives initiatives/efforts to successful completion and closure. Takes personal responsibility to make decisions and take action. Good Partner -- Identifies and anticipates customer requirements, expectations, and needs. Seeks feedback from customers to identify improvement opportunities. Follows up with customers to ensure problems are solved. Continually searches for ways to improve customer service (including the removal of barriers, and providing solutions). Use Professional Judgment -- Makes logical, rational, and integrative decisions, and arrives at sound conclusions. Chooses the best alternative(s) based on a review of pros, cons, tradeoffs, timing, and probabilities. Evaluates the consequences and implications of alternatives, actions, or decisions (e.g., impact on sales, returns, customer loyalty). Makes timely decisions, balancing analysis with decisiveness. Work Environment Most tasks are performed while seated indoors at a personal computer. Limited travel to vendors, seminars and/or conferences may be required periodically throughout the year.

Lead-Data Analysis Back to job search results Tesco India Bengaluru, Karnataka, India Hybrid Full-Time Permanent Apply by 31-May-2025 About the role The Data Analyst in the GRP team will be responsible to analyse complex datasets and make it consumable using visual storytelling and visualization tools such as reports and dashboards built using approved tools (Tableau, Microstrategy, PyDash). The ideal candidate will have a strong analytical mindset, excellent communication skills, and a deep understanding of reporting tools front end and back end What is in it for you At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. You will be responsible for - Driving Data analysis for testing key business hypothesis and asks, developing complex visualizations, self-service tools and cockpits for answering recurring business asks and measurements - Experience in handling quick turnaround business requests, managing stakeholder communication and solving business asks holistically going beyond the basic stakeholder asks - Ability to select the right tools and techniques for solving the problem in hand - Ensuring analysis, tools/ dashboards are developed with the right technical rigor meeting Tesco technical standards - Applied experience in handling large data-systems and datasets - Extensive experience in handling high volume, time pressured business asks and ad-hocs requests - Ability to develop production ready visualization solutions and automated reports - Contribute to development of knowledge assets and reusable modules on GitHub/Wiki - Come up with new ideas and analysis to support business priorities and solve business problems You will need 5-8 years of experience as a Data Analyst, with experience working in domains like retail, cpg and for one of the following functional areas - Finacne, marketing, supply chain, customer, merchandising preferred - Proven track record of handling ad-hoc analysis, developing dashboards and visualizations based business asks. - Strong usage of business understanding for analysis asks. - Exposure to analysis work within Retail domain; Space, Range, Merchandising, Store Ops, Forecasting, Customer Insights, Digital, Marketing will be preferred - Expert Skills to analyze large datasets using Adv Excel, Adv SQL, Hive, Phython, - Expert Skills to develop visualizations, self-service dashboards and reports using Tableau & PowerBi, - Statistical Concepts (Correlation Analysis and Hyp. Testing), Strong DW concepts (Hadoop, Teradata), - Excellent analytical and problem-solving skills. - Should be comfortable dealing with variability - Strong communication and interpersonal skills. About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBSs focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation Apply

Description Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you. IN Consumer BI Reporting and Analytics (COBRA) team is looking for a highly driven, customer-obsessed Business Intelligence Engineer who will be responsible for building BI platform & team and supporting key decision making across the group. You’ll analyze large amounts of data, discover and solve real world problems, build metrics and business cases around key projects and, most of all, be an integral part of creating a better customer and seller experience. We are looking for customer obsessed, data driven entrepreneurs to join our growing team. Solve some of the hardest problems for our customers and Sellers. If you want operate at start up speed, solve some of the hardest problems and build a service which customers love, Amazon.in might just be the place for you. The Business Intelligence Engineer is responsible for driving deep insights about Amazon Business and driving continuous improvement using the analysis. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems. The BIE will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of the P3P programs. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program. Key job responsibilities Develop and streamline necessary dashboards and one-off analyses, providing ability to surface business-critical KPIs, monitor the health of metrics and effectively communicate performance. Partner with stakeholders and other Business Intelligence teams to acquire necessary data for robust analysis. Convert data into insights including implications and recommendations that are specific and actionable for the P3P team and across the business. Partner with other analysts as well as data engineering and technology teams to support building a best-in-class dashboards and data infrastructure. Communicate insights using data visualization and presentations to stakeholders The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A2985307 Show more Show less

em E-COM, manager Business Planning & FORECASTING Area: EM (Emerging Markets) | Global Sales Department: e-commerce Direct Reporting Line: Senior Manager, Business Planning and forecasting, EM eCommerce Indirect/secondary reporting line: Director, Planning and Analytics, EM eCommerce Subsidiary/country Location: INDIA GSMS Grade: M4 Number of Personnel Managed: 0 Cost Center/Budget and/or Revenue Responsibility: EM Purpose & Overall Relevance For The Organization Driving Business planning & Forecasting Analytics at adidas e-commerce, you are responsible for planning and delivering business targets. Based on internal & external data sources, you manage adoption of forecast models, data capabilities, insights that help adidas better understand the consumer, expand reach, increase customer engagement and advocacy. Key Responsibilities Business Performance & Forecasting: Own and drive the overall EM e-com Business Performance Reporting (Sales, KPIs) and the EM e-com Forecasting practice (Forecast Review & Forecast Accuracy). Identify Demand gaps, risks and uplift and provide visibility and actionable advice to the broad stakeholders to ensure targets are achieved. Manage and provides advice to stakeholders to adopt and adhere to the agreed forecast and demand management approach and follow-up actions. Ensure tools and systems daily routines & activities, refresh, updates and scheduling. Support deep-dives, ad-hoc analysis and contextual dashboards with relevant platforms and channels. Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights. Advise stakeholders in your area of responsibility to define goals, select appropriate KPIs, monitor performance and derive trends and opportunities. Build a strong internal and external network, informing the adidas Digital community on the latest trends and technological advances. Maintain quality, set good development practices, and define standards that keep the focus on the right things. Enable and Support Products Analytics, working side by side in symbiosis with the EM e-com Buying and Trading function. Create new trading capabilities for our business and align with cross functional stake holders to implement and enhance the framework for order and article level profitability that will serve as the foundation for marketing campaign and range effectiveness. Work directly with business partners to optimize our own site, partner offerings, & app, drive marketing campaigns from assortment to target audience, and generate insights to maximize sales opportunities of managed portfolio of products Monitor and analyze market trends and competitor activities and derive conclusions for the growth and optimization of adidas Digital sales, identifying gaps, opportunities and risk within EM e-com business and the digital marketplace landscape. Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights. Key Relationships EM Hub e-com team EM Function teams (Finance, DNA, Brand, Sales, SCM…) Country-Clusters (C/C) market teams & group functions Global Digital teams Global BI & Analytics teams Requisite Education And Experience / Minimum Qualifications Degree with focus in Business, Finance, Economics, Math or related field preferred, or equivalent combination of education and experience Minimum 5 years of experience working in eCommerce Business planning, Data Analytics, Business Intelligence, Demand forecasting or equivalent experience Experience in e-commerce environment preferred Experience in data handling and analytics platforms, especially in their integration or deriving insights requiring multiple sources Industry: Ideally in apparel/fashion/shoes or internet Experience in leading cross-geography teams Knowledge & Soft Skills Broad understanding and passion for Digital and e-com Understanding of multi-platform e-commerce Deep knowledge of Digital and e-com analytics Ability to efficiently work in a cross-functional organization, ability to develop influential and collaborative relationships with stakeholders from digital and non-digital disciplines on all levels Excellent communication & negotiation skills, comfortable presenting business challenges and opportunities at various organizational levels A passion for contributing to new data capabilities, tools, and frameworks. Interest in “back-of-house” development of analytics capabilities. Devotion to accuracy, reliability, rigor, and user-focused design. Meticulous, high attention to details with Bias to action Outspoken and Confident Broad understanding of and passion for the sports and fashion/entertainment industry Hard Skills Experience in Digital Analytics, BI, Financial, Digital tools Hands-on experience with data visualization, and analytics tools and disciplines Proficient in MS Office (with Excellent skills with Excel). Preferred Alteryx or at least one querying language Experience with process design and process improvements, automation, etc. Plus, would be considered: Experience in forecasting and predictive models Advanced experience with Analytics Blending & Visualization Tools (PowerBI, MicroStrategy, SQL…) Understanding of traffic analytics, marketing & media KPIs and ROI Experience with Web Analytics and Native app (iOS/Android) analytics (Adobe Analytics, Google Analytics, Amplitude, AppsFlyer, FireBase…). Experience with Advanced Analytics Tools/ language such as R/Python is good to have Experience in relevant digital disciplines (e-com, Social, online communities, loyalty programs, CRM, SEO/SEM) Experience with AB and Multi-variate testing tools preferred (e.g. Optimizely, VWO, Test & Target) Experience in working with data science and engineering teams Fluent English both verbally and written adidas celebrates diversity, supports inclusiveness and encourages individual expression in our workplace. We do not tolerate the harassment or discrimination toward any of our applicants or employees. We are an equal opportunity employer. Show more Show less

Duties & Responsibilities Provides coaching and mentoring to members of the Data Analytics team Responsible for development of analytics product packages as driven by Epicor product roadmap or customer contracts with key a focus on matching the final user experience to a business user case Performs research, analysis, and modeling on organizational data and has primary responsibility for the front-end analytics user experience Participates in cross functional analytics product teams including DW engineers, ETL software engineers, data sciences engineers, data production staff, aftermarket industry SMEs, and also directly engages customers to orchestrate the final analytics solution Investigates and integrates analytics technology and new data sources to keep our analytics solutions current in the fast evolving analytics market space Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making Partners with product operations managers and staff in developing and delivering high analytics availability and performance to meet or exceed customer contract service levels. Knowledge, Skills & Abilities Oral and written communication skills Problem/situation analysis on complex issues Ability to identify and seek needed information/research skills Analytical thinking skills, statistical knowledge, technical expertise and mathematical skills Experience using SQL and Python to analyze large datasets Advanced knowledge in one or more analytics front end toolsets such as such as Microstrategy, PowerBI, or Tableau Background and experience in medium to large IT initiatives leveraging formalized requirements, agile/iterative development methods, and formalized change management processes Creative, flexible, and collaborative in approach to technical problem solving and data driven design Experience using SQL to analyze large datasets Exposure to database modeling and data warehousing principles Experience implementing data science routines in R and/or Python Experience using data visualization and high volume BI tools such as Tableau and MicroStrategy AI/ML Saas Qualifications 6+ years experience and demonstrated success/knowledge in building, deploying, and supporting large scale analytics solutions 2+ years of Applied analytics experience Bachelor’s degree computer science/statistics or related field (or equivalent experience) About Epicor At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer. Recruiter Zeba Bahzad Khazi Show more Show less

EXPERIENCE: 7+ Years LOCATION: Bangalore/Chennai - Hybrid NOTICE PERIOD: 30 Days Strategy Delivering, building and maintaining the Data Driven solutions that are core to Group Operations strategy. Business 1) Provide thought leadership in data science techniques and business applications to unlock the value of SCB’s data sets and external information. 2) Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure. 3) Engage with internal clients to improve delivery of analytic projects. 4) Explore leading methodologies and best practices and importing successful methodologies from international markets. Key Stakeholders Business Analysts, Business Partners, COO Business, ITO, CDO, internal staff, clients and 3rd parties. Other Responsibilities 1) Work with senior management to develop and refine the bank's AI strategy, ensuring alignment with overall business objectives. 2) Identify and prioritize AI use cases that have the potential to deliver significant business value. 3) Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation Skills: 1) Responsible for building applications with modern architecture design with RESTful web services / APIs. 2) Responsible for building web-based applications. 3) Hands-on experience with Windows Server, Azure, AWS and Git 4) Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. 5) Accountable for supporting applications in production - analyse and resolve issues as they arise. 6) Strong working knowledge of Python. 7) Good experience with Business Intelligence tools and Decision Support Systems. 8) Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy or Tableau. 9) Experience in working with key stakeholders within the business. 10) Proven problem-solving skills. Show more Show less

Job Title: DevOps Engineer-Gen AI EXPERIENCE: 7+ Years LOCATION: Bangalore/Chennai NOTICE PERIOD: 30 Days Strategy Delivering, building and maintaining the solutions to AI use cases and augmenting functionalities of AI tool of the bank. Business Accelerate delivery of AI uses cases for various Business & Functions of the bank with focus on, Responsibilities 1) Design and Optimize AI Prompts: Develop, test, and refine AI prompts to ensure optimal performance and alignment with business goals. 2) Data Analysis and Interpretation: Analyze large datasets to uncover trends, patterns, and insights that support strategic decision-making. 3) Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and business stakeholders to integrate AI solutions into banking operations. 4) Continuous Improvement: Stay updated with the latest advancements in AI and data analytics to continuously improve the quality and efficiency of AI models and data analysis processes. 5) Documentation and Training: Document processes, methodologies, and findings, and provide training to team members on best practices in prompt engineering and data analysis. Accountabilities 1) Quality and Performance: Accountable for the quality and performance of AI prompts and data analysis outcomes, ensuring they meet the bank’s standards and objectives. 2) Compliance: Responsible for ensuring all AI and data-related activities adhere to regulatory and compliance requirements. 3) Stakeholder Satisfaction: Accountable for delivering actionable insights and effective AI solutions that satisfy the needs of internal stakeholders and support the bank's strategic goals. Key stakeholders CDO Squads, Business Partners, ITO, internal staff, clients and 3rd parties. Other Responsibilities Embed Here for good and Group’s brand and values in AI squad deployed to various Business and Functions; Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures. 1) Identify and prioritize AI use cases that have the potential to deliver significant business value. 2) Develop business cases for AI projects, including cost-benefit analysis, risk assessment, and ROI estimation. Skills: 1) Software development experience using .Net framework or Java 2) Completed real world ML, NLP and DO projects using R or Python 3) Extensive experience in SQL and NoSQL database design, queries and stored procedures 4) Hands-on experience with Windows Server, Azure, AWS and Git 5) Highly proficient in data visualisation tools... 6) Documentation - Requirements/Use Cases/Business Rules/User Stories, Etc. 7) Report Types - Gap Analysis/Problem Analysis/Initial Assessments, Etc. 8) Process/Data Modelling - 'As Is'/'To Be'/ Visio/Enterprise Architect/System Architect, Etc. 9) Strong query language skills (SQL, Hive, ETL, Hadoop, Spark, R, Python) 10) Good experience with Business Intelligence tools and Decision Support Systems 11) Strong data analysis skills using Hive, Spark, R, Python, Dremio, MicroStrategy and Tableau. 12) Proven experience in working with key stakeholders within the business 13) Proven problem-solving skills 14) Workshop Facilitation Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Strategy and Transactions (SaT)– DnA Assistant Director EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Assistant Director - Data Engineering. The main objective of the role is to support cloud and on-prem platform analytics and data engineering projects initiated across engagement teams. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. This role will be instrumental in designing, developing, and evolving the modern data warehousing solutions and data integration build-outs using cutting edge tools and platforms for both on-prem and cloud architectures. In this role you will be coming up with design specifications, documentation, and development of data migration mappings and transformations for a modern Data Warehouse set up/data mart creation and define robust ETL processing to collect and scrub both structured and unstructured data providing self-serve capabilities (OLAP) in order to create impactful decision analytics reporting. Your Key Responsibilities Evaluating and selecting data warehousing tools for business intelligence, data population, data management, metadata management and warehouse administration for both on-prem and cloud-based engagements Strong working knowledge across the technology stack including ETL, ELT, data analysis, metadata, data quality, audit and design Design, develop, and test in ETL tool environment (GUI/canvas driven tools to create workflows) Experience in design documentation (data mapping, technical specifications, production support, data dictionaries, test cases, etc.) Provides technical leadership to a team of data warehouse and business intelligence developers Coordinate with other technology users to design and implement matters of data governance, data harvesting, cloud implementation strategy, privacy, and security Adhere to ETL/Data Warehouse development Best Practices Responsible for Data orchestration, ingestion, ETL and reporting architecture for both on-prem and cloud (MS Azure/AWS/GCP) Assisting the team with performance tuning for ETL and database processes Skills And Attributes For Success 12-14 years of total experience with 8+ years in Data warehousing/ Business Intelligence field Solid hands-on 8+ years of professional experience with creation and implementation of data warehouses on client engagements and helping create enhancements to a data warehouse Strong knowledge of data architecture for staging and reporting schemas, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse] 5+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. Experience with Snowflake What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

About Improzo At Improzo ( Improve + Zoe; meaning Life in Greek ), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused on delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We are seeking a highly skilled Data and Reporting Developer (Improzo Level - Associate) to join our dynamic team. As a Big Data Developer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using big data technologies. This is an exciting opportunity for a talented individual with a strong technical background and a passion for working with large datasets to deliver high-quality solutions. Key Responsibilities Big Data Application Development: Design, develop, and maintain scalable data pipelines and big data applications. Work with distributed processing frameworks (e.g., Apache Hadoop, Apache Spark) to process and analyze large datasets. Write optimized and high-performance code to handle data ingestion, processing, and analysis in real-time or batch processing environments. Data Architecture: Collaborate with data architects and other stakeholders to design and implement data storage solutions using HDFS, NoSQL databases (e.g., Cassandra, HBase, MongoDB), and cloud data platforms (e.g., AWS, Azure, Google Cloud). Develop and maintain ETL pipelines for data extraction, transformation, and loading (ETL) using ETL tools or Databricks Work with data lakes and data warehousing solutions for large-scale data storage and processing. Data Integration: Integrate various data sources into the big data ecosystem (e.g., data from relational databases, APIs, third-party tools, IoT devices). Ensure seamless data flow between systems while maintaining data quality and integrity. Reporting Development: Design and Build reports on tools like Power BI, Tableau, Microstrategy Design basic UI / UX as per client needs Performance Optimization: Optimize big data workflows and queries to ensure high performance and scalability. Implement data partitioning, indexing, and other techniques to handle large datasets efficiently. Collaboration and Communication: Collaborate with cross-functional teams (data scientists, analysts, engineers, etc.) to understand business requirements and deliver data solutions that meet those needs. Communicate complex technical concepts and data insights clearly to non-technical stakeholders. Testing and Quality Assurance: Perform unit testing and troubleshooting of data pipelines to ensure data consistency and integrity. Implement data validation and error-checking mechanisms to maintain high-quality data. Documentation: Maintain clear documentation of data pipelines, architecture, and workflows for ease of understanding, modification, and scaling. Agile Methodology: Participate in agile development processes, including sprint planning, daily stand-ups, and code reviews. Innovation and Research: Stay up-to-date with the latest trends and advancements in big data technologies and techniques. Continuously evaluate new tools, frameworks, and technologies to improve performance and capabilities. Qualifications Bachelor’s or master’s degree in a quantitative field such as computer science, statistics or mathematics. 1.5+ years of experience on data management or reporting projects involving big data technologies Hands on experience or thorough training on technologies like AWS, Azure, GCP, Databricks, Spark. Experience in a Pharma Commercial setting or Pharma data management will be an added advantage General proficiency in programming languages such Python; experience with data management (SQL, MDM, etc.) and visualization tools like Tableau, PowerBI, etc. Excellent communication, presentation, and interpersonal skills. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge tech projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: hdfs,sql,tableau,python,nosql databases,big data technologies,azure,microstrategy,mongodb,google cloud,data architecture,hbase,performance optimization,apache spark,cloud data platforms,power bi,apache hadoop,big data application development,documentation,etl pipelines,agile methodology,aws,data warehousing,data lakes,data integration,databricks,gcp,mdm,cassandra,powerbi Show more Show less

Description Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. Identifying data needs and driving data quality improvement projects. Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2926860 Show more Show less

Description Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon’s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then eCommerce Services is the team for you. We are part of building the world's best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon’s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Key job responsibilities Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. Identifying data needs and driving data quality improvement projects. Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Bachelor's degree Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2926850 Show more Show less

Description Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog. We power the online buying experience for customers worldwide so they can find, discover, and buy anything they want. Our massively scaled out distributed systems process hundreds of millions of updates on the billions of products across physical, digital, and services offerings. You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience. We are looking for a creative and goal-oriented Business Intelligence Engineer (BIE) to join our team to harness the full potential of data-driven insights to make informed decisions, identify business opportunities and drive business growth. This role requires an individual with excellent analytical abilities, knowledge of business intelligence solutions, as well as business acumen and the ability to work with various tech/product teams across ASCS. This BIE will support ASCS org by owning complex reporting and automating reporting solutions, and ultimately provide insights and drivers for decision making. You must be a self-starter and be able to learn on the go. You should have excellent written and verbal communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. As a Business Intelligence Engineer in the CSP team, you will be responsible for analyzing petabytes of data to identify business trends and points of customer friction, and developing scalable solutions to enhance customer experience and safety. You will work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner. This role will involve collaborating with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively uncover new insights that drive decision-making by senior leadership. As a key member of the CSP team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities Collaborate with business and product leaders to solve problems, create operational efficiencies, and deliver against high organizational standards Apply analytical techniques to answer high-impact business questions and present insights in a concise, effective manner Build and maintain a robust set of operational and business metrics to identify improvement opportunities Translate data into meaningful insights that inform strategic decision-making by senior leaders Partner with stakeholders to gather requirements, integrate data sources, and develop analytics and reporting solutions Demonstrate proficiency in SQL, data analysis, and data visualization tools to drive data-driven decision making Dive deep into technical and operational details to resolve complex problems, coordinating with engineering teams as needed Thrive in a dynamic, fast-paced environment, leveraging strong analytical skills, business acumen, and the ability to operate at scale. Define, develop, and maintain critical business and operational metrics reviewed on a regular basis. Analyze historical data to identify trends and support decision-making, including presenting results and recommendations. Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and reporting. Identify trends in metrics and segment them along suitable dimensions to reveal deeper dynamics. Provide actionable insights to senior leaders to inform strategies in critical areas. A day in the life A day in the life of a BIE-I will include: Working closely with cross-functional teams including Product/Program Managers, Software Development Managers, Applied/Research/Data Scientists, and Software Developers Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions. About The Team This central BIE team within ASCS will be responsible for building a structured analytical data layer, bringing in BI discipline by defining metrics in a standardized way and establishing a single definition of metrics across the catalog ecosystem. They will also identify clear sources of truth for critical data. The team will build and maintain the data pipelines for critical projects tailored to the needs of ASCS teams, leveraging catalog data to provide a unified view of product information. This will support real-time decision-making and empower teams to make data-driven decisions quickly, driving innovation. This team will leverage advanced analytics that can shift us to a proactive, data-driven approach, enabling informed decisions that drive growth and enhance the customer experience. This team will adopt best practices, standardize metrics, and continuously iterate on queries and data sets as they evolve. Automated quality controls and real-time monitoring will ensure consistent data quality across the organization. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience applying basic statistical methods (e.g. regression) to difficult business problems Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Experience in the data/BI space Experience in designing and implementing custom reporting systems using automation tools Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A2945831 Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Senior Data Engineer - Google Cloud  7+ years direct experience working in Enterprise Data Warehouse technologies.  7+ years in a customer facing role working with enterprise clients.  Experience with architecting, implementing and/or maintaining technical solutions in virtualized environments.  Experience in design, architecture and implementation of Data warehouses, data pipelines and flows.  Experience with developing software code in one or more languages such as Java, Python and SQL.  Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik or MicroStrategy.  Customer facing migration experience, including service discovery, assessment, planning, execution, and operations.  Demonstrated excellent communication, presentation, and problem-solving skills.  Experience in project governance and enterprise.  Mandatory Certifications Required Google Cloud Professional Cloud Architect Google Cloud Professional Data Engineer Mandatory skill sets-GCP Architecture/Data Engineering, SQL, Python Preferred Skill Sets-GCP Architecture/Data Engineering, SQL, Python Year of experience required-8-10 years Qualifications-B.E / B.TECH/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field Of Study Required Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Python (Programming Language) Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Overview We are seeking a detail-oriented and proactive Associate Manager - BIOps Program Management to support and optimize Business Intelligence Operations (BIOps) programs. This role requires a hands-on professional with a solid foundation in BI governance, data analytics, cloud-based BI platforms, automation, and operational processes. The ideal candidate will assist in implementing scalable BIOps strategies, improving BI platform performance, and ensuring the availability, reliability, and efficiency of enterprise analytics solutions. Assist in managing and maintaining BIOps programs to ensure alignment with business objectives, data governance standards, and enterprise data strategies. Contribute to the implementation of real-time monitoring, automated alerting, and self-healing capabilities to enhance BI platform uptime and performance. Support the development and enforcement of BI governance models, operational frameworks, and execution roadmaps for seamless BI delivery. Assist in standardizing and automating BI pipeline workflows, report generation, and dashboard refresh processes to improve operational efficiency. Work closely with cross-functional teams, including Data Engineering, Analytics, AI/ML, CloudOps, and DataOps, to execute Data & Analytics platform strategies and foster a data-first culture. Provide operational support for PepsiCo’s Data & Analytics program and platform management to ensure consistency with global data initiatives. Assist in enabling proactive issue identification, self-healing capabilities, and continuous platform sustainment across the PepsiCo Data Estate. Responsibilities Assist in ensuring high availability and optimal performance of BI tools such as Power BI, Tableau, SAP BO, and MicroStrategy. Contribute to real-time observability, monitoring, and incident management processes to maintain system efficiency and minimize downtime. Support efforts to optimize data models, enhance report performance, and reduce query execution times. Work closely with Data Engineering, Analytics, AI/ML, CloudOps, and DataOps teams to support data-driven decision-making. Assist in coordinating with IT, business leaders, and compliance teams to ensure BIOps processes align with regulatory and security requirements. Provide periodic updates on operational performance, risk assessments, and BIOps maturity progress to relevant stakeholders. Support end-to-end BI operations, including testing, monitoring, and sustainment of global products and projects in partnership with Data Engineering teams. Assist in maintaining service-level agreements (SLAs) and engaging with subject matter experts (SMEs) to meet business demands effectively. Partner in the work intake process and Agile management practices to ensure alignment with PepsiCo’s operational goals and objectives. Contribute to developing and maintaining operational policies, structured processes, and automation to enhance operational efficiency. Foster a customer-centric culture by advocating for customer needs and assisting in resolving challenging customer situations through active listening and problem-solving. Build and maintain strong relationships with stakeholders, ensuring transparency and managing expectations effectively. Assist in fostering a collaborative, high-performing team culture by supporting the team’s operational growth and skill development. Help ensure agility within the team by enabling swift priority changes while maintaining productivity. Leverage basic knowledge of cloud infrastructure and BI platforms to support operational requirements and build trust within the organization. Qualifications 7+ years of technology work experience in a large-scale global organization - CPG preferred. 7+ years of experience in the Data & Analytics field, with exposure to BI operations and tools. 7+ years of experience working within a cross-functional IT organization. 4+ years of experience in a leadership or team coordination role. Ability to empathize with customers, convey confidence, and explain technical issues to varied audiences effectively. Ability to prioritize customer needs and advocate for timely resolutions through appropriate channels. Demonstrated ability to take ownership, drive results, and ensure operational excellence. Passion for delivering excellent customer experiences and fostering a customer-first culture. Willingness to learn new skills and technologies in a dynamic environment. Hands-on experience in providing technical support for BI or data-related solutions, preferably in a Microsoft Azure environment. Familiarity with modern site reliability practices, including monitoring, incident management, and operational resilience. Experience contributing to operational excellence by supporting the management of BI solutions and improving system performance. Ability to analyze complex issues, identify root causes, and implement effective solutions. Ability to build and maintain strong cross-functional relationships based on trust and respect. Proven ability to drive alignment and consensus across virtual teams and multiple functions through clear communication and collaboration. Track record of achieving results in fast-paced and evolving environments. Experience working in global or multi-country environments, preferably with data and BI implementations. Understanding of key concepts related to master data management, data standards, analytics, and digital transformation. Basic knowledge of data acquisition, data catalogs, and data management tools. Strong interpersonal skills with the ability to influence and persuade stakeholders while fostering lasting partnerships Show more Show less