1369 Qlikview Jobs - Page 15

We are seeking a talented and detail-oriented Alteryx + Tableau Developer to join our dynamic team at SyanSoft . In this role, you will be responsible for transforming complex, raw datasets into clear, actionable insights through high-quality data preparation, analysis, and visualization . You will leverage your skills in Alteryx, Tableau, and SQL to develop robust data workflows, dashboards, and reports, collaborating closely with business stakeholders to translate data requirements into impactful solutions. Key Responsibilities: Design, develop, and maintain end-to-end data workflows using Alteryx for ETL processes, data cleansing, and data preparation. Create and maintain dynamic, interactive dashboards and reports in Tableau to drive data-driven decision-making. Collaborate with key business stakeholders to gather, analyze, and understand complex data needs and translate them into technical solutions. Perform data extraction, transformation, analysis, and visualization to support business goals. Optimize and automate existing reporting processes to improve efficiency and scalability. Ensure high data accuracy, consistency, and quality across reports and dashboards. Communicate findings clearly to both technical and non-technical stakeholders. Required Qualifications & Skills: Minimum 3-5 years of professional experience as an Alteryx + Tableau Developer. Mandatory: Alteryx Core Certification. Strong hands-on expertise with Alteryx Designer for complex data manipulation, ETL, parsing, blending, and automation. Proficiency in Tableau for dashboard creation, data visualization best practices, and performance optimization. Advanced skills in SQL for querying, data extraction, and transformation. Strong understanding of data preparation, data modeling, and data visualization principles. Ability to translate business needs into technical specifications and data-driven solutions. Exposure to Finance & Accounting / Tax domain will be an added advantage. Preferred Skills (Good to Have): Experience with other BI tools such as Power BI or QlikView. Familiarity with cloud platforms like AWS, Azure, or GCP for data services. Knowledge of Python or R for data analytics. Knowledge of process automation within Finance & Accounting workflows. Key Competencies: Strong problem-solving, analytical, and critical thinking skills. Excellent communication and stakeholder management abilities. Self-motivated, proactive, and capable of handling multiple priorities in a fast-paced environment. Passion for delivering high-quality, data-driven insights. Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 4+ years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

The purpose of this role is to maintain, improve, clean and manipulate data in the business s operational and analytics databases. The Data Engineer works with the business s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues. Job Description: Responsibilities BI Solution Development: Design, develop, and maintain BI solutions, including reports, dashboards, and data visualizations, using tools such as Power BI, Tableau, or similar technologies. Data Infrastructure Development: Design, develop, and maintain scalable data pipelines and infrastructure using tools and technologies such as Apache Spark, Hadoop, and SQL. Requirements Analysis: Collaborate with business stakeholders to gather and document BI requirements, ensuring solutions meet business needs. ETL Processes: Create and manage Extract, Transform, Load (ETL) processes to integrate data from various sources into the data warehouse. Data Integration: Extract, transform, and load (ETL) data from various sources into BI systems, ensuring data accuracy and integrity. Data Modeling: Develop and maintain data models to support BI solutions, optimizing for performance and usability. Data Quality: Implement data quality and validation processes to ensure accuracy and reliability of data. Performance Optimization: Optimize BI solutions for performance, scalability, and user experience through efficient data modeling and query design. Documentation: Create and maintain comprehensive documentation for BI solutions, including data models, ETL processes, and user guides. User Training and Support: Provide training and support to end-users on BI tools and best practices, ensuring effective use of BI solutions. Continuous Improvement: Identify and implement opportunities for improving BI processes and capabilities, staying current with industry trends and technologies. Qualification and Skills Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field. Proven experience 4-9 years in a similar role with a focus on business intelligence development. Proficiency in BI tools such as Power BI, Tableau, QlikView, or similar technologies. Proficiency in data engineering tools and technologies such as Apache Spark, Hadoop, Kafka, SQL, and NoSQL databases. Strong understanding of data warehousing, data modeling, and ETL processes. Excellent analytical and problem-solving skills with the ability to interpret complex data sets. Strong communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders. Certification in BI tools or relevant technology certifications incl data engineering tools Experience with cloud-based BI solutions, such as Microsoft Azure or AWS. Knowledge of advanced analytics, data visualization techniques and programming languages such as Python, Java, or Scala Experience with cloud-based data solutions, such as AWS, Azure, or Google Cloud Platform. Familiarity with data governance and compliance standards. Location: Bangalore Brand: Bcoe Time Type: Full time Contract Type: Permanent

The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelor's/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.

Target is one of the most loved consumer retail brands in the world. At Target, we are constantly improving and innovating our digital shopping experience. Target Plus is one such strategic business initiative offering meaningful guest experiences by bringing high demand brands, on-trend selection to Target.com. We are a one-of-a-kind marketplace, carefully curated and built keeping in mind guests' current and changing needs, along with tapping into futuristic market trends. The Category Site Merchandising team focuses on increasing digital topline sales by optimizing conversion and the overall site experience. The team plays a crucial role in ensuring findability and discoverability of products, making it easy for guests to locate and discover items. By partnering with various teams within and outside of the Digital organization, the team drives the right experience for each category. Additionally, the team is responsible for delivering financial outcomes and plans for the digital business, ensuring that financial goals are met and sustained.As a Sr Site Merchandiser, you will drive business growth through effective category management and site merchandising strategies. Your focus will be on optimizing the site experience for your category to maximize guest engagement and sales. You will collaborate closely with cross-functional teams, including merchandising, marketing, digital teams and analytics, to ensure seamless execution of category strategies and alignment with business goals. Your role is crucial in translating business objectives into actionable site merchandising tactics that enhance the digital shopping experience. Core Responsibilities: Site Experience Management: Develop site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Tactics include traffic optimization, site taxonomy and attribution management, navigation, filters, sort, internal search optimization, item-level content, cross-sell/up-sell, and item data remediation and attribution. Know and advocate for the Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Analytics & Insights: Monitor key performance indicators (KPIs) across devices and platforms, guest behavior, and market trends. Use these insights to refine strategies, influence cross-functional teams, and inform business decisions. Provide routine reporting on performance metrics, offering deep insights for continued optimization. Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly, and contribute as an SME to align team efforts with business goals. Innovation & Continuous Improvement: Continuously identify opportunities for innovation in merchandising, technology, and processes. Proactively drive progress, improvement, and advancement to enhance guest experiences Results & Financial Accountability: Maintain a strong sense of accountability for delivering financial results, ensuring strategies drive topline sales, profitability, and guest engagement. Education/Experience: 4-year US college degree or equivalent experience4+ years relevant e-commerce experience; including site merchandising, item data, product, UX, or operations General Skills: Curiosity and Passion for Customer Experience: Demonstrates a high level of curiosity and a strong passion for understanding and enhancing customer experience. Continuously seeks to learn about customer behaviors, preferences, and trends to drive innovative solutions that delight guests. Initiative and Self-Starter: Proactively identifies opportunities for improvement and takes the initiative to implement solutions. Exhibits a self-starter attitude, consistently driving projects forward with minimal supervision and demonstrating a strong sense of ownership and accountability. Team Collaboration: Ability to work effectively within a team, fostering a collaborative and productive work environment. Strategic Thinking: Ability to contribute to the development and implementation of strategic plans that align with business goals and drive category growth. Influence and Negotiation: Skills in influencing partner roadmaps and advocating for the category across teams, ensuring alignment and support for strategic initiatives. Analytical Skills: Proficiency in gathering, analyzing, and interpreting data to make informed decisions and provide actionable insights. Effective Communication: Strong written and verbal communication skills to summarize findings, share updates, and present insights clearly to stakeholders. Adaptability: Flexibility to adapt to changing business needs and priorities, and to work effectively in a fast-paced, dynamic environment. Specialized Skills: Data & Technical Skills: Proficiency with data tools like DOMO, Adobe Analytics, google analytics. Experience in using ecommerce site optimization tools. Financial Acumen: Proficiency in tracking revenue and other key metrics to connect site performance to financial outcomes. Ability to analyze financial data to support category performance and make data-driven decisions that align with business goals. Site Optimization: Experience in optimizing site merchandising strategies to enhance guest engagement and sales.

Analyze existing reports and dashboards built in IBM Cognos and design equivalent solutions in Qlik Sense. Work closely with business stakeholders to understand reporting requirements and ensure seamless transition. Optimize Qlik Sense reports for performance, scalability, and user experience. Provide technical guidance to junior developers and support them on best practices in performance tuning and visual design. Ensure data accuracy, consistency, and quality across migrated reports. Collaborate with data engineering teams to ensure proper data sourcing and modeling. Leverage knowledge of Power BI and Tableau to support cross-platform initiatives and provide comparative insights when necessary. Follow industry standards and guidelines in BI dashboard design, data storytelling, and data visualization principles Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5+ years of experience in Business Intelligence / Data Visualization roles. Experience working with IBM Cognos and migrating reports to modern BI platforms. Good understanding of data modeling, ETL processes, and SQL. Strong knowledge of Power BI and Tableau is a must. Experience in report optimization techniques (performance tuning, load time improvement Preferred technical and professional experience Experience in enterprise-level BI deployments and dashboard governance. Certification in Qlik Sense / Power BI / Tableau is a plus. Background in financial services, healthcare, or other data-intensive industries is an advantage

Act as a liaison between business stakeholders and technical teams to gather, document, and translate business requirements into data platform capabilities. Define and document data product requirements, KPIs, metrics, and business rules to be enabled via the platform. Define test scenarios and data quality checks to validate reports and dashboards. Coordinate UAT with business users and sign off deliverables. Collaborate with platform owners on roadmap definition, backlog prioritization, and delivery planning Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Prior experience working in banking or regulated project. Exposure to data product thinking and domain-driven data modeling. Understanding of data privacy, security, and compliance regulations (e.g., RBI, GDPR Preferred technical and professional experience Prior experience in the Banking domain or financial services industry. Exposure to Agile methodologies and collaborative development environments. Familiarity with other enterprise data management tools or technologies

Exp Required - 7 years + Remote opportunity available . Role - Senior SAP SD Consultant We are looking for a skilled SAP SD Consultant who have experience in Data Relationship & Dashboard with strong expertise in designing data models, managing relationships across business-critical data sources, and building scalable, secure dashboards. The ideal candidate will have hands-on experience working with Oracle and SAP databases and an excellent understanding of production orders, sales orders, and manufacturing data. SAP ABAP experience would be added an advantage. Must Haves - Experience on SAP SD + ABAP SAP Version: ECC 6.0. Support QlikView or Qliksense team for building SAP reports by sharing technical details from SAP . Drive SAP SD flow and validate output of reports as per client requirement . Analyze and understand database relationships to enable business users to build insightful dashboards. Create and manage data relationships across multiple sources (e.g., production orders, sales orders, manufacturing data). Build and maintain dashboards that offer high usability and performance for business users. Ensure data is loaded efficiently (only once) and made accessible across multiple dashboards. Implement best practices for foundational data setup, including data modeling and optimization.

Role Title: SAP SD Consultant Experience Required: 7+ years Work Mode: Remote Must-Have Skills: Experience on SAP SD + ABAP SAP Version: ECC 6.0. Support QlikView or Qliksense team for building SAP reports by sharing technical details from SAP Drive SAP SD flow and validate output of reports as per client requirement We are looking for a skilled SAP SD Consultant who have experience in Data Relationship & Dashboard with strong expertise in designing data models, managing relationships across business-critical data sources, and building scalable, secure dashboards. The ideal candidate will have hands-on experience working with Oracle and SAP databases and an excellent understanding of production orders, sales orders, and manufacturing data. SAP ABAP experience would be added an advantage. Analyze and understand database relationships to enable business users to build insightful dashboards. Create and manage data relationships across multiple sources (e.g., production orders, sales orders, manufacturing data). Build and maintain dashboards that offer high usability and performance for business users. Ensure data is loaded efficiently (only once) and made accessible across multiple dashboards. Implement best practices for foundational data setup, including data modeling and optimization. Please share your resume at Akhila.kadudhuri@programmers.io.

Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Storytelling Insight generation and presentation Familiarity with BI Tools, Kantar Track Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Requisition Id : 1625984 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

Requisition Id : 1625987 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

About Us Toluna is the global research and insights leader that enables businesses to make smarter, data-driven decisions – faster. For 25 years, we have partnered with the world’s leading brands, delivering transformative impact through our advanced technology platform, comprehensive solution portfolio, expansive global first-party panel, and world-class team of leading research experts. Since 2019, we’ve made significant investments in artificial intelligence to enhance automation, accelerate insight delivery, and unlock deeper understanding at scale. With 40+ offices worldwide, Toluna operates in 70+ countries, redefining the future of insights. Learn more at www.tolunacorporate.com About the role: We are seeking an experienced Power BI Developer with a strong background in finance to join our team. As a Power BI Developer, you will leverage your expertise in both data analytics and finance to design, develop, and maintain interactive dashboards and reports that provide key insights into the financial performance and trends of the organization. This role will be reporting to Senior Analytics & Modelling and work closely with business stakeholders, finance teams, and other departments to ensure that the reporting meets the needs of the organization while delivering actionable financial insights. Key Responsibilities: Develop Power BI Reports/Dashboards: Design, develop, and maintain interactive Power BI dashboards and reports, focusing on key financial metrics, budgeting, forecasting, and profitability analysis. Data Modelling & ETL: Create and manage data models in Power BI, ensuring the accuracy, quality, and integrity of financial data. Integrate and transform data from multiple financial systems and sources into Power BI using Power Query and DAX. Financial Analysis & Visualization: Work with finance teams to understand financial data needs and provide actionable insights into cash flow, balance sheets, P&L, variance analysis, and other key financial indicators. Collaborate with Stakeholders: Act as the bridge between IT, business, and finance departments to ensure that dashboards and reports are aligned with organizational goals and deliver key financial insights. Optimization: Continuously optimize reports and dashboards for performance and usability, ensuring end-users can interact with reports in an intuitive way. Troubleshooting and Support: Provide ongoing support and troubleshooting for Power BI reports, resolving issues related to data accuracy, report design, or performance. Training and Documentation: Provide training to finance and non-finance staff on how to use Power BI reports and dashboards effectively. Create clear documentation for report usage and data sources. Education Requirements: Bachelor’s degree in Finance, Accounting, Computer Science, Data Analytics, or related field. Microsoft Certified: Data Analyst Associate or similar Power BI certification is desired. Experience: Minimum of 3 years of experience in Power BI development, with a strong focus on finance-related reports and analysis. Hands-on experience in financial data modelling, budgeting, forecasting, and reporting. Proficiency in Power BI Desktop, Power BI Service, and DAX (Data Analysis Expressions). Experience with ETL processes, including integrating data from multiple sources (SQL, Excel, Salesforce, etc.). Familiarity with financial metrics and KPIs. Required Technical Skills Proficient in Power BI, including report creation, DAX, Power Query, and data visualization best practices. Strong knowledge of SQL for data extraction and manipulation. Advanced use of Excel skills such as complex formulas. Desirable Technical Skills Experience with cloud platforms such as Microsoft Fabric. Familiarity with finance tools and software such as SAP. Familiarity with other BI tools such as QlikView and Anaplan. Familiarity with advanced analytics tools (Python, R) or machine learning algorithms related to finance. Soft Skills Strong analytical skills with the ability to transform complex financial data into clear, actionable insights. Excellent communication skills and the ability to present financial information to both technical and non-technical stakeholders. Strong attention to detail and problem-solving ability. Ability to work independently and as part of a team in a fast-paced environment.

What You’ll Do EIIC Engineering functional excellence organization is aligned to CTO’s strategy to drive “One Eaton Engineering Functional Excellence”. Charter of this organization is to simplify & create better work experiences for our Engineers by transforming existing engineering work processes. EIIC functional excellence organization will work with global Engineering Functional Excellence(EFE) leaders in CTO’s office, Electrical and Industrial Sector businesses. This organization will be responsible for developing and deploying One Eaton processes across all sectors and businesses across globe. Senior engineer for Product Lifecycle Management (PLM) within Engineering functional excellence team at EIIC, will be responsible for driving engineering governing processes for part release, part health and other PLM governing policies. He/She will lead the projects on process standardization by coordinating thru PLM steering teams at various businesses and other cross functional teams like SCM, Operations and IT etc. The role will liase with IT teams in converting engineering needs to reflect in to the PLM software functionalities. This role will also focus on establishing the health dashboards and coordinating the improvement projects with engineering and other cross-functional teams. This role shall represent the functional excellence team in PLM steering committees. He/She will actively work with other engineers in functional excellence in driving LEAN and CI initiatives for organizational processes and PLM under the guidance of leaders for PLM, IT teams and business teams across the organizations. This role shall work on covering the functional requirements from ENG teams to PLM and its integrated system IT teams. This role required functional skills which has dynamic collaboration between EFE, ENG, MFG, SCM and Eaton IT teams. The Candidate In This Position Is Responsible To Lead PLM and engineering release process standardization initiatives including cross functional collaboration drives, EPIC deployment, PLM dashboarding etc. Work with business stakeholders for capturing requirements, post processing of data by utilizing digital tools, benchmarking to develop comprehensive proposals. Drive automation & digitization projects for Engineering & PLM processes using appropriate tools such as Excel Macros, VBA, Python, PowerApps & other O365 tools. Continuously builds digital skills to simplify processes. Develops impactful dashboards and reports using Power BI and share those reports effectively using Microsoft Power Platform. Responsible for updating, deploying and maintaining new standards / processes / policies thru global platform like Wiki or library central Ensures an effective change management process is utilized. Lead efforts on the development of e-Learning modules leveraging IT resources Identify opportunities and drive continuous improvement initiatives Lead ENOVIA Wiki for upgrading existing material, creating new material and communicate to user community Coordinates all risks and requirements of the project. This is accomplished by planning, controlling, integrating all project activities and deliverables and measuring all elements to ensure the requirements and goals are successfully achieved. Provides periodic project updates of current situation relating to milestones and problem/high risk areas to business units as well as divisional levels. Manage effective stakeholder communications. Improve organization responsiveness to stakeholder requirements. Communication and manage customer expectations and commitments internal to the business. Qualifications Bachelor’s Degree in Mechanical/Electrical Engineering. Strong understanding of PLM processes with 5-7years in product design and development (active role in Enovia PLM will be preferred) Skills Technical Knowledge: Experience of working in PLM environment like ENOVIA and Mnaufacturing process and rounting experience. Strong understanding about standard part release processes, cross function team's involvement and engineering databases Hands-on experience of Lean/DMAIC tools, New Product Introduction / Sustaining engineering / Application engineering processes, Good programming skills in Excel Macros and VBA, Understanding of dashboarding thru tools like Power BI / QlikView etc. Soft Skills Leadership skills - capability to lead change, Good communication and presentation skills – both verbal and written with ability to make necessary status reports and technical presentations to Eaton management, Good analytical skills and business acumen, High proficiency in preparing and managing schedule Logical thinking and drive for results ]]>

Requisition Id : 1611699 The opportunity EY is looking for Senior Consultant/Consultant Analytics with expertise in one of the industries across: Banking, Insurance, not mandatory. Your key responsibilities Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector Project Management Client Management Support business development and new analytics solution development activities Skills and attributes for success Domain expertise in one of the industries across: Banking, Insurance, not mandatory Statistical modelling (Logistic / Linear regression, GLM modelling, Time-series forecasting, Scorecard development etc.) Hands-on experience in one or more Statistics tool - SAS, Python & R Experience in Tableau, Qlikview would be plus. Data mining experience - Clustering, Segmentation Machine learning and Python experience would be a plus. To qualify for the role you must have B Tech from top tier engineering schools or Masters in Statistics / Economics from the top universities Minimum 6 years of relevant experience, with minimum 1 year of managerial experience for Senior Consultant Minimum 1 year for Associate Consultant; Minimum 3 years for Consultant Ideally you’ll also have Strong communication, facilitation, relationship-building, presentation and negotiation skills. Be highly flexible, adaptable, and creative. Comfortable interacting with senior executives (within the firm and at the client) Strong leadership skills and supervisory responsibility. What we look for People with the ability to work in a collaborative way to provide services across multiple client departments while adhering to commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. What working at EY offers EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance. About EY As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible

As a Manager - Sales Operations & Analytics, you will be responsible for Assisting the Head of Sales Operations & Network Development with varied projects to drive key cadences with relevant stakeholders, owning and reporting key business KPIs, and supporting the business reviews with insights to recommend next steps . The role requires the applicant to be willing to learn and adapt quickly to different projects and teams, and execute projects to desired outcomes. Incumbent in this role shall leverage tools such as Salesforce DMS, Qlikview and other systems to drive efficiency, ensure compliance and improve workflows across Sales & Network Development teams . You will be a quick learner, adept at context switching, good with data analysis, cross functional collaboration & communication, and detail oriented. You shall be responsible for evaluating the gaps and improving productivity for the zonal teams. You will drive projects through various teams and support initiatives as per business needs. You will work with relevant stakeholders and teams to ensure metrics and targets are achieved. ⸻ Some highlights of the role: 1. The role involves navigating through various swimlanes, teams and leaders, to gather information or to drive a task or project, so understanding organisation structure, process flows and relevant stakeholders becomes a must have and it helps if you can learn quickly. 2. Good communication skills, both oral and written is a must have. There can be less correlation among the projects and assignments that come along so must be okay with ambiguity and must have the ability to prioritize and organize on a daily basis. 3. You should be comfortable with these aspects and be able to maintain a sense of urgency and clarity with limited oversight from the leader you are supporting. 4. It’s a must have to be data driven and be able to quickly convert information into metrics and visualizations as executives’ decisions by and large are guided by data.

Company Description Office Solution, a global consulting and GEN AI powerhouse since 2012, specializes in Outsourced Product Development, Business Process Management, and Custom Application Development & Maintenance. As an Authorized Microsoft Partner, we deliver exceptional value to our clients through cutting-edge technologies like D3, React, and TypeScript. Office Solution has a proven track record of serving clients across the US, UK, Canada, Europe, and Dubai. With a decade of experience in the IT industry, we have generated $3 billion in value for our clients. Our AI-enabled chatbot empowers clients with instant access to information, adding efficiency to the decision-making process. Role Description This is a full-time remote role for an Alteryx Developer. The Alteryx Developer will be responsible for designing, building, and deploying Alteryx workflows, conducting data analysis, creating data transformation processes, and maintaining and optimizing existing workflows. The role also includes collaborating with cross-functional teams to gather requirements and ensure seamless integration with other systems. Qualifications Experience in Computer Science, Back-End Web Development, and Software Development Proficiency in Programming and Object-Oriented Programming (OOP) Strong analytical and problem-solving skills Excellent communication and teamwork skills Experience with Alteryx or similar data analytics platforms Relevant certification or degree in Computer Science or related field is a plus Ability to work independently and manage time effectively in a remote environment Experience with data visualization tools like Power BI, Tableau, and QlikView is beneficial

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. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Years of Experience: Candidates with 4+ years of hands on experience Required Skills Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving and analytical skills to troubleshoot and optimize conversational AI systems. Familiarity with NLP/NLG techniques such as parts of speech tagging, lemmatization, canonicalization, Word2vec, sentiment analysis, topic modeling, and text classification. NLP and NLU Verticals Expertise: Text to Speech (TTS), Speech to Text (STT), SSML modeling, Intent Analytics, Proactive Outreach Orchestration, OmniChannel AI & IVR (incl. Testing), Intelligent Agent Assist, Contact Center as a Service (CCaaS), Modern Data for Conversational AI and Generative AI. Experience building chatbots using bot frameworks like RASA/ LUIS/ DialogFlow/Lex etc. and building NLU model pipeline using feature extraction, entity extraction, intent classification etc. Understanding and experience on cloud platforms (e.g., AWS, Azure, Google Cloud, Omilia Cloud Platform, Kore.ai, OneReach.ai, NICE, Salesforce, etc.) and their services for building Conversational AI solutions for clients Expertise in Python or PySpark. R and JavaScript framework. Expertise in visualization tools such as Power BI, Tableau, Qlikview, Spotfire etc. Experience with evaluating and improving conversational AI system performance through metrics and user feedback Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Proven track record of successfully delivering conversational AI projects on time Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends in conversational AI technologies. Strong strategic thinking and ability to align conversational AI initiatives with business goals. Knowledge of regulatory and compliance requirements related to conversational AI applications Experience in the telecom industry or a similar field Familiarity with customer service operations and CRM systems Nice To Have Familiarity with data wrangling tools such as Alteryx, Excel and Relational storage (SQL) ML modeling skills: Experience in various statistical techniques such as Regression, Time Series Forecasting, Classification, XGB, Clustering, Neural Networks, Simulation Modelling, Etc. Experience in survey analytics, organizational functions such as pricing, sales, marketing, operations, customer insights, etc. Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data. Good Communication and presentation skills

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : QlikView Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of enhancements and maintenance tasks, while also focusing on the development of new features to meet client needs. You will be responsible for troubleshooting issues and optimizing application performance, ensuring that the software meets high standards of quality and functionality. Your contributions will play a vital role in delivering effective solutions that enhance user experience and drive client satisfaction. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Conduct thorough testing and debugging of application components to ensure reliability and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Tableau. - Strong analytical skills to interpret data and provide actionable insights. - Experience with data visualization best practices to create effective dashboards. - Familiarity with SQL for data extraction and manipulation. - Ability to work with large datasets and perform data analysis. Additional Information: - The candidate should have minimum 3 years of experience in Tableau. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : QlikView Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Software Development Engineer, your typical day involves analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement tasks, ensuring that the applications function optimally and meet client requirements. Collaboration with team members to address challenges and improve processes will also be a key part of your role, fostering a dynamic and innovative work environment. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the documentation of application processes and updates. - Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Tableau. - Strong analytical skills to interpret data and provide actionable insights. - Experience in developing interactive dashboards and reports. - Familiarity with data blending and data preparation techniques. - Ability to work with large datasets and optimize performance. Additional Information: - The candidate should have minimum 3 years of experience in Tableau. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : QlikView Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of software solutions, while also performing maintenance and enhancements to existing applications. You will be responsible for delivering high-quality code and contributing to the overall success of the projects you are involved in, ensuring that client requirements are met effectively and efficiently. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to gather requirements and provide technical insights. - Conduct code reviews to ensure adherence to best practices and coding standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Tableau. - Strong analytical skills to interpret data and provide actionable insights. - Experience in developing interactive dashboards and reports using Tableau. - Familiarity with data visualization best practices to enhance user experience. - Ability to troubleshoot and optimize Tableau performance. Additional Information: - The candidate should have minimum 3 years of experience in Tableau. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Position Title –Data Analytics Manager Location – Bengaluru-Corporate Office Total Experience of 4 to 10 Years Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering Direct Reporting – Nil (Individual Contributor) Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail Key Responsibilities:- Data Analysis and Reporting: Be the central point for all business and performance analytics Oversee the collection, processing, and interpretation of large datasets Manage all MIS and reports for various functions and ensure timely delivery of reports to each function. Develop self-serve BI tools and automated reporting for functional leaders Identify trends, patterns, and insights to drive strategic decision-making Build and maintain executive dashboards to monitor business health and performance metrics. Data Strategy Development: Develop and implement data analytics strategies to support business objectives. Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance. Collaborate with other departments to understand their data needs and provide actionable insights. Team Management: Led and mentored a team of data analysts and MIS experts Ensured projects were completed on time and within budget Foster a collaborative and innovative work environment Tool and System Management: Implement and maintain data analytics tools and systems Ensure the efficient operation of data collection and analysis processes Troubleshoot and resolve any issues related to data systems Use statistical methods, predictive modeling, and data mining techniques to inform decision-making Provide ROI analysis on transformation and cost-saving initiatives Stakeholder Communication: Act as the analytics point of contact for strategy-related initiatives Work with product, IT, supply chain, and marketing teams to gather data and align KPIs. Present insights and recommendations to senior leadership in a clear and compelling manner Other Responsibilities: Delivery of data services to support marketing activities Program and develop Extract, Transform and Load programs to support integration Ensure data quality within the database - Data Loading and error handling User Acceptance Test to ensure Quality in deliverables Produce high standard of documentation on data flows and processes Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables. Assess client and 3rd party data sources and new data capture opportunities to enhance existing data. Defined and set up reporting and analysis processes and deliverables that meet client objectives. Key Performance Indicator:- Data Accuracy : Accuracy and reliability of data collected and analyzed Insight Utilization : Percentage of business decisions influenced by data insights Project Timeliness : Completion of data projects within the agreed timelines Team Performance : Productivity and development of the data analytics team Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery) Remarks:- Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.) Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets. Knowledge of data management best practices and regulatory requirements. Knowledge of data management best practices and regulatory requirements. Good Communication & Influencing Skills. Looking for stable candidates only (Frequent job changes will be not considered). Local Candidates will be preferred

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution. AGCO is looking to hire candidates for the position of Campaign Analyst Aftersales Parts role will be responsible for collecting and analyzing data around campaign engagement and commercial performance to provide high value insights and recommendations to support business decisions that optimize our Aftersales marketing campaigns. This is expected mainly by leveraging data, mathematical and analytical techniques and data reporting capabilities. The role will translate, summarize, and present large and complex datasets in an easily understandable manner, making it possible to spot patterns, trends and correlations. This position will also design and deploy effective data pipelines, data visualizations and storytelling techniques to generate insights from data. As the role will be an individual contributor role, we want a hands-on analytics professional solving different use cases to provide value for the Aftersales Parts Marketing organization. Your Impact Works with senior management within Aftersales Marketing and key Aftersales Parts Business stake holders in identifying and prioritizing actionable, impactful insights across Aftersales campaigns, driving informed decision-making. Works with business stakeholders and functional domain experts to map reporting requirements into dashboards and BI tools. Visualizes data and analytical insights for easy consumption for Aftersales Marketing using reports, dashboards, and scorecards. Uses storytelling to explain business insights and recommendations to stakeholders. Adheres to enterprise visualization standards and best practices. Optimizes performance of the queries involving on the fly calculations. Build wireframes and mock-ups of dashboards and reports as needed to deliver effective data visualizations. Defines the integration points with other systems and communication of the effects of possible system changes in cooperation with other teams. Explores large datasets to determine their characteristics and select appropriate visualizations. Works with cloud technologies to develop and deploy efficient data ingestion pipelines integrating multiple data sources. Acts as a changing to drive data driven decision making within the Aftersales Marketing organization. Possess extensive knowledge and technical know-how on data visualization and data engineering technologies / processes to build robust and reliable data visualizations and analytics solutions. Stays up to date on leading data science and visualization practices, trends, design, learning and development cycles. Your Experience and Qualifications Bachelor’s Degree Engineering, Mathematics, Data Science, Software Technology. 8+ years of previous experience as a Campaign Analyst, including experience of digital analytics across social media, email marketing, UTM tracking Google Analytics and Tag Manager, along with A/B & multi-variate testing. 4+ years of Experience with Data Visualization Tools (Tableau, QlikView, Power BI). Experience in data models, data warehousing, data ingestion concepts, relational databases and various data management methods and techniques. 4+ years of Global experience driving enterprise level Change Management cross functionally. 4+ years of Experience with building data integrations and pipelines from/to Salesforce Marketing Cloud & Sales Cloud, SAP, and internal CRM systems. Cloud technologies (AWS, Azure, GCP etc...) Knowledge of data structures of ERP and CRM Systems (Microsoft Dynamics 365, SAP, Salesforce, etc.). Hands-on experience in working with SQL, R, Spark or Python is an advantage. 8+ years as a Project, Program or Product Management with experience leading global initiatives. Your Benefits GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique! ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential. POSITIVE IMPACT – Make it personal and help us feed the world. INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm. MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work options... Your Workplace We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives. Join us as we bring agriculture into the future and apply now! Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice. AGCO is proud to be an Equal Opportunity Employer.

DESCRIPTION Amazon is seeking a Senior Product Manager that will enable India and Emerging Markets of Amazon to build a fast and sustainable customer shopping and delivery experience. The individual in this role will develop and own the Product and Tech vision, Product roadmap, Business Requirement Documents and deliver flagship features hands-on. This role will have a dedicated tech team to deliver their roadmap while continuing to work across partner teams based across the globe. The ideal candidate will obsess over customers and have a proven track record of delivering results through building products that touch millions of customers OR build products that manage high level of complexity. This role would require the candidate to be comfortable analyzing large amounts of data, have experience with customer facing UX changes, and someone who is comfortable working in highly ambiguous areas. As a Senior PM, you will work closely with other PMs, software developers, research scientists, and category managers to build shopping and customer experience that create a substantially differentiated CX for Amazon customers. You will have the opportunity to participate and shape product developments for not only India but other locales around the globe for Amazon. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your technical, business, and engineering expertise to rapidly prototype and deliver solutions. Successful candidates must like working in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon’s strategic needs. BASIC QUALIFICATIONS Bachelor's degree Experience owning/driving roadmap strategy and definition Experience with feature delivery and tradeoffs of a product Experience contributing to engineering discussions around technology decisions and strategy related to a product Experience managing technical products or online services Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning PREFERRED QUALIFICATIONS Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools 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. Job details IND, KA, Bengaluru Amazon.in Project/Program/Product Management-Technical

You will be working as a Data Scientist/Analyst with a focus on extracting actionable insights from data. Your role will involve utilizing various tools such as Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, Hadoop, GCP, and ML. To qualify for this position, you should possess a Bachelor's degree in computer or data science, engineering, statistics, operations research, or another quantitative area. You must have experience in using SQL to extract, clean, and transform data from large, complex, nested databases. Proficiency in programming languages such as Python or R in a cloud platform is essential. Additionally, you should have a minimum of 3 years of experience as a researcher, analyst, data scientist, or solution developer with expertise in one or more of the following analytics tools: R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, QlikSense, Google Cloud Platform, Hadoop, or SAP. Preferred qualifications include at least 3 years of experience as a researcher, analyst, data scientist, or solution developer, with a strong background in Python, Alteryx, R, SQL, Tableau, MINITAB, CPLEX, Qlikview, QlikSense, and Hadoop. Experience in data mining, statistical analysis, modeling, optimization, GCP Big Query, Vertex AI, and machine learning using Python is highly desirable for this role. Strong written and verbal communication skills, along with a high level of intellectual curiosity, are essential to excel in this position.,