5273 Business Intelligence Jobs - Page 32

You will be responsible for Owning and delivering Monthly Performance Reporting, Latest Views, Forecast and Annual Operating Plan by effectively collaborating with multiple stakeholders including Business Partners. Delivering meaningful, accurate and timely in-depth business insights by focusing on forward-looking analysis, Emerging trends, and potential business & financial risks, and whereby translating variances in financial and non-financial KPIs for Senior Leadership in Markets and Business to make fact-based, sound business decisions. Lead/Worked on the development of annual budgets and periodic forecasts, ensuring accuracy and alignment with company objectives. Monitor and analyse costs, identifying opportunities for cost optimization and efficiency improvements. Evaluating new projects and investment opportunities. Develop financial models to support long-term strategic planning and assist in scenario analysis to evaluate the impact of various business decisions. Manage Internal controls, Internal & External Audit Driving automation and standardization through systems and tools to maximize efficiency and actionable insights. Ensure quality, accuracy and integrity of information stored in our systems, enabling a single source of truth. Partnering proactively and engaging with finance & business partners to enable strong transformation & value creation journeys To succeed in this role, you will need a customer-first attitude, and enterprise mindset and the following capabilities: ICWA/ MCOM/MBA will be preferred, with Financial Modelling, Strong analytical and problem-solving skills. Minimum of 4+ years of experience in Financial Planning & Analysis, with a focus on the FMCG industry/ Factory experience Advanced technical skills in Excel, ERP (SAP preferred) and PowerPoint experience with reporting & analytical tools like Power BI, SAP Analytics, Business-Intelligence environments, SQL, etc. Strong numerical strength and demonstrated knowledge of accounting fundamentals. Effective communication and influencing skills (using data and numbers) Stakeholder Management experience along with Business Partnering Strong affinity with LEAN processes and tools Ability to work collaboratively in a fast-paced, dynamic environment.

The opportunity Unity is seeking a talented and experienced Senior Business Intelligence Developer to join our People Analytics & Systems team. As an expert in SQL, data engineering, and human resources data, you will play a critical role in building robust data pipelines, scalable self-service solutions, and supporting the back end of insightful dashboards that empower our People organization and leadership with data-driven decisions. If you are analytically minded, have a knack for optimizing processes, and possess a passion for building scalable solutions in the HR domain, we want to hear from you! What youll be doing Design, develop, and maintain scalable data pipelines to support HR data modeling, metrics automation, and comprehensive dashboards, including crafting the infrastructure behind scalable self-service analytical solutions to enable robust insights discovery across all HR functions. Architect and lead the development of a dedicated data warehouse and associated data reporting layer for People Analytics, working in close partnership with Insights Analysts, and IT organization. Responsible for developing documentation and training to foster data literacy, alongside upholding stringent data governance and quality assurance to maintain the confidentiality, quality, integrity, and timeliness of all HR data. Partner with Insights analysts on requirements, project prioritization, and drive the timely completion of high-quality data products. Work with Enterprise Application Systems Engineer to build and own integrations from Workday to HR Data Warehouse. What were looking for Expert in data pipeline development from ingestion to insightful visualization with strong hands-on experience with data engineering principles, ETL practices, data warehousing, and tools (e.g., Fivetran). Advanced proficiency in SQL, with extensive experience in designing complex queries, optimizing performance, and building robust data models in Google Cloud Platform and Big Query. Proficiency in Python (or a similar programming language like R) for data manipulation, scripting, and automation. Extensive experience with data visualization tools such as Looker (preferred), Tableau, Qlik, or Power BI Demonstrated ability to gather requirements, prioritize tasks, and lead technical projects effectively. You might also have Excellent communication and interpersonal skills, with the ability to translate complex technical concepts into understandable insights for non-technical stakeholders, particularly within Human Resources. Familiarity with Big Data Infrastructures and cloud platforms (e.g., Google Cloud Platform (GCP), AWS, Azure) and specific tools like BigQuery, Spark. Experience working with HRIS systems (e.g., Workday, SAP SuccessFactors, etc.) and understanding of common HR data structures and metrics (e.g., headcount, attrition, diversity, compensation). Experience with advanced analytics, statistical modeling, or machine learning applications in the HR domain. Additional information Relocation support is not available for this position. Work visa/immigration sponsorship is not available for this position. Life at Unity Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit www.unity.com . Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com . #LI-ET1 #SEN

At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data. As a global leader we re looking for a Data Engineer with BI to join an exciting project for replacing existing Data warehouse systems with the Oracles own data warehouse to manage storage of all the internal corporate data to provide insights that will help our teams to make critical business decisions Join us and create the future! Roles and Responsibilities Proficient in writing and optimising SQL queries for data extraction Translate client requirements to technical design that junior team members can implement Developing the code that aligns with the technical design and coding standards Review design and code implemented by other team members. Recommend better design and efficient code Conduct Peer design and Code Reviews for early detection of defects and code quality Documenting ETL processes and data flow diagrams Optimizing data extraction and transformation processes for better performance Performing data quality checks and debugging issues Conducting root cause analysis for data issues and implementing fixes Collaborating with more experienced developers on larger projects, collaborate with stakeholders on the requirements Participate in the requirements, design and implementation discussions Participating in learning and development opportunities to enhance technical skills Test storage system after transferring the data Exposures to Business Intelligence platforms like OAC, Power BI or Tableau Technical Skills Set : You must be strong in PLSQL concepts such as tables, keys, DDL, DML commands, etc. You need be proficient in writing, debugging complex SQL queries, Views and Stored Procedures. Strong hands on in Python / PySpark programming As a Data Engineer, you must be strong in data modelling, ETL / ELT concepts, programming / scripting Python language, You must be proficient in the following ETL process automation tools Oracle Data Integrator (ODI) Oracle Data Flow Oracle Database / Autonomous Data warehouse Should possess working knowledge in any of the cloud platform like Oracle Cloud (Preferred), Microsoft Azure, AWS You must be able to create technical design, build prototypes, build and maintain high performing data pipelines, optimise ETL pipelines Good knowledge on Business Intelligence development tools like OAC, PowerBI Good to have Microsoft ADF and Data Lakes, Databricks

About GlobalFoundries Introduction: The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundry Your Job : Understand the business case and translate to a holistic a solution involving Ab Initio (Cloud/On-prem) , Python, Data Ingestion and Cloud DB Redshift / Postgres, AWS cloud. PL/SQL development for high volume data sets. Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), DB query monitoring for tuning and optimization opportunities Proven experience with large, complex database projects in environments producing high-volume data Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions. Makes recommendations regarding enhancements and/or improvements Provides appropriate consulting, interfacing, and standards relating to database management, and monitors transaction activity and utilization. Performance issues analysis and Tuning Data Warehouse design and development, including logical and physical schema design. Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams Required Qualifications : Bachelor or master s degree in information technology, Electrical Engineering or similar relevant fields. Proven experience (3 years minimum) with ETL development, design, performance tuning and optimization, Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches, Working Experience in Kubernetes and Docker Administration is added advantage Must have good experience in AWS services, Ab Initio, Big data, Python, Cloud DB RedShift. Good to have exp in PySpark Proven experience with large, complex database projects in environments producing high-volume data, Proficiency in SQL and PL/SQL Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), Excellent conceptual abilities pared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes, infrastructure. Familiarity with SDLC concepts and processes A strong candidate for being a great camaraderie builder. Additional Skill: Experience using and developing on AWS services. Experience in semiconductor industry, Knowledge of Semistructured datasets Experience with reporting data solutions and business intelligence tools Experience in collecting, structuring and summarizing requirements in a data warehouse environment, Knowledge of statistical data analysis and data mining, Experience in test management, test case definition and test processes Preferred Qualifications: Bachelor or master s degree with Minimum 10 Years relevant Exp along with people manager exposure. Must have exp in AWS Cloud Services , Ab Initio, Python, Cloud DB Redshift / Postgres and Data Ingestion Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping) GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations. Information about our benefits you can find here: https: / / gf.com / about-us / careers / opportunities-asia

Our client is a leading global investment and advisory firm known for its deep expertise in private equity, real estate, and alternative asset management. The ideal professional will be responsible for leading crisis response efforts, cyber due diligence, and share knowledge about portfolio program and its methodology to concerned stakeholders along with advisory responsibilities. Please contact Muhammed Abraar or email your cv directly in word format with job reference number 15220 to Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful. Apply for this Job Key responsibilities To brief about cybersecurity best practices to concerned senior stakeholders and technical teams. To Interface with external stakeholders to drive ongoing cybersecurity initiatives across the portfolio and use business intelligence tools to create reporting. To provide expertise on investment opportunities in cybersecurity companies. Role requirements Overall 16+ years of experience with a minimum of 5+ years of experience into cyber security as an advisor preferably in global banking or global asset management firms. Experience of working directly with C-level executives with a broad knowledge of Cyber security from a technical and strategic level. Experience in Incident Response handling cyber-attacks along with hands on data analysis with business intelligence tools. Experience of managing multiple cyber security projects along with owning and driving select program functions with the stakeholders.

Our client is a leading global investment and advisory firm known for its deep expertise in private equity, real estate, and alternative asset management. The ideal professional will be responsible for leading crisis response efforts, cyber due diligence, and share knowledge about portfolio program and its methodology to concerned stakeholders along with advisory responsibilities. Please contact Muhammed Abraar or email your cv directly in word format with job reference number 15220 to Please note that due to the high number of applications only shortlisted candidates will be contacted. If you do not hear from us in the next 5 business days, we regret to inform you that your application for this position was unsuccessful. Key responsibilities To brief about cybersecurity best practices to concerned senior stakeholders and technical teams. To Interface with external stakeholders to drive ongoing cybersecurity initiatives across the portfolio and use business intelligence tools to create reporting. To provide expertise on investment opportunities in cybersecurity companies. Role requirements Overall 16+ years of experience with a minimum of 5+ years of experience into cyber security as an advisor preferably in global banking or global asset management firms. Experience of working directly with C-level executives with a broad knowledge of Cyber security from a technical and strategic level. Experience in Incident Response handling cyber-attacks along with hands on data analysis with business intelligence tools. Experience of managing multiple cyber security projects along with owning and driving select program functions with the stakeholders.

Job Description About the Role: We are seeking an experienced and dynamic Manager - Talent Acquisition to lead our efforts in attracting, engaging, and hiring top-tier talent in the Data Engineering, Data Science, and Business Intelligence domains. This pivotal role will be responsible for developing and executing comprehensive recruitment strategies, building strong pipelines, and fostering exceptional candidate experiences. The ideal candidate will possess deep expertise in the data and analytics landscape, coupled with a proven track record in leading and mentoring recruitment teams. The Talent Acquisition Manager will also play a crucial role in employer branding, showcasing what makes our company an incredible place to work. From utilizing data analytics to track hiring metrics to collaborating with marketing teams on outreach initiatives, you will be at the forefront of our talent acquisition efforts. This role requires strong leadership, exceptional communication skills, and the ability to create a positive candidate experience. If you are passionate about building teams and have a keen eye for identifying talent, we would love to have you on board to help us shape the future of our workforce. Key Responsibilities Lead and manage the talent acquisition team to meet hiring goals and objectives. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Utilize data analytics to track and report on key recruiting metrics and KPIs. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Conduct training sessions for hiring managers on best practices in interviewing and selection. Qualifications Required: Bachelors degree in Human Resources, Business Administration, Computer Science, or a related field. 7+ years of progressive experience in talent acquisition, wi

We make markets in and clear client transactions on major stock, options and futures exchanges worldwide. Through our global sales force, we maintain relationships with our clients, receiving orders and distributing investment research, trading ideas, market information and analysis. Our core value is setting and advancing the Global Banking and Market Operations strategy, and in preserving the divisions culture, ensuring that our organization remain informed about the divisions evolving priorities and strategic vision, and how this fits in to the broader firms priorities. YOUR IMPACT The Chief of Staff (CoS) for GBM Operations performs a key role for the division, working across business units to help drive and shape the organisations strategy. This opportunity will allow you to gain insight and build expertise across a broad range of disciplines including people agenda, operational strategy, business planning. The CoS role works closely with local and regional leadership and frequently requires close collaboration with other divisions outside of GBM Operations. JOB SUMMARY AND RESPONSIBILITIES Act as local CoS for GBM Operations India, closely managing office and operations activities and initiatives in close partnership with other divisions in and outside the region Work closely with global leadership across the division to establish and execute on business planning priorities and strategy Develop presentation material and data insights to enable leadership decision-making Support communication initiatives and engagement strategy including preparation of speaker briefing documents and strategy material Drive culture and connectivity, maintaining clear leadership messaging to employees through communications, events, townhalls Execute on various organisational responsibilities related to business planning, organizational design, space management and budget planning BASIC QUALIFICATIONS Degree in a relevant subject matter 5 years + industry experience Ideal candidate will have worked in either a Chief of Staff role, or within Operations in a pre/post trade environment PREFFERED QUALIFICATIONS Proactive, enthusiastic self-starter with the ability to remain composed under pressure Strong presentation skills with the ability to articulate complex concepts visually Ability to convey multifaceted ideas in clear, concise written language Team focused; able to flex style to influence and interact effectively with a wide range of individuals, including senior management Strong organizational skills with the ability to prioritize multiple assignments in a fast-paced environment Strong analytical skills, with competency in Business Intelligence toolkit preferred Proficiency with MS software including PowerPoint, Excel, Word, Outlook

About this role: Join our dynamic and forward-thinking team within Gartners Global Strategy and Operations (GSO) division, where innovation blends with impactful results. Our Service Analytics Productivity team is at the forefront of developing cutting-edge automated data solutions for Gartner s Global Services Delivery team. We leverage data to uncover transformative insights and strategies, enhancing productivity and boosting client retention. This is your chance to be part of a high-impact analytics team, dedicated to driving automation, solving complex problems, and managing key stakeholder relationships, ultimately delivering significant and measurable business outcomes. What you ll do: Business Intelligence Development: Design, develop, and maintain robust business intelligence solutions using Power BI. Ensure these solutions are scalable and stable to support the evolving needs of the business. Problem-Solving: Independently tackle complex data challenges to create innovative solutions that push the boundaries of conventional thinking. Stakeholder Relationships: Build and nurture strong relationships with stakeholders by understanding and rationalizing automation requirements. Define success clearly and deliver high-quality automated solutions that meet stakeholder expectations. Communication: Effectively communicate project status and challenges to leaders and stakeholders, simplifying complex technical concepts for easy understanding. Data Quality: Uphold the highest standards of data quality and protection. Ensure adherence to control structures that guarantee data accuracy and quality across all data channels, fostering trust and reliability in our data-driven decisions. Ethical Standards Teamwork: Maintain the highest ethical standards while fostering a culture of teamwork and collaboration, contributing to a positive and productive work environment. What you ll need: Educational Background: Possess 2+ years of professional experience with a degree in Engineering, Math, Statistics, or related fields. Your academic foundation will be complemented by a passion for data analytics and innovation. SQL Proficiency: Demonstrate proficient SQL skills for data extraction and manipulation, enabling the creation of innovative data solutions. Data Visualization: Experience with data visualization techniques and tools for impactful storytelling through dashboards, with a primary focus on Power BI. Python: Preferred experience in Python and essential libraries such as NumPy and Pandas, with a track record of creating efficient ETL processes, preferably in Databricks. Problem-Solving Skills: Possess a knack for creative problem-solving, with sharp qualitative and quantitative abilities and a keen eye for detail and accuracy. Communication Skills: Exhibit strong written and verbal communication skills, with the ability to convey technical concepts to a non-technical audience effectively.

: Join global organization with 82000+ employees around the world, as a Lead Data warehouse Developer based in IQVIA Kochi/ Bangalore. You will be part of IQVIA s world class technology team and will be involved in design, development, enhanced software programs or cloud applications or proprietary products. Technical Skills: Very good understanding of Data Warehousing Design Methodology, Data Warehouse Concepts, Database design/architecture including both OLAP OLTP data and complete lifecycle of project from design to development and implementation. Extensive experience in Analysis, Design, Development, Implementation, Deployment and maintenance of Business Intelligence applications. Expertise in identification of Business and Data requirements and converting them into conceptual and logical data models. Excellent data-analysis skills and ability to translate specifications into a working Report. Experienced in Training Supporting end-user reporting needs. Exposure to Dimensional Data modeling- Star Schema modeling and Snowflake modeling. Possess excellent communication, decision-making, Problem Solving, Analytical, and Interpersonal skills with result oriented dedication towards goals. Capable of working as a Team Member or Individually with minimum supervision. Flexible and versatile to adapt to any new environment with a strong desire to keep pace with latest technologies. Key Responsibilities: Minimum 10+ years of experience in IT industry; should have worked on a large-scale client implementation project. 4-6 in Managing the daily activities of the team responsible for the design, implementation, maintenance, and support of data warehouse systems and related data marts. Oversees data design and the creation of database architecture and data repositories. Drive change to implement an efficient and effective data-warehousing strategy. Ensure that projects are accurately estimated and delivered to schedule. Work closely with the business and developers on issues related to design and requirements. Actively contribute to the process of continual improvement, regarding self, team and systems Ensure that development standards, policies and procedures are adhered to. Will work with analysts from the business, your development team, and other areas to deliver data-centric projects. Will be responsible for the maintenance and improvement of existing data batch-processes and the implementation of new ETL and BI systems. Coordinate internal resources and third parties/vendors for the flawless execution of projects. Ensure that all projects are delivered on-time, within scope and within budget. Developing project scopes and objectives, involving all relevant stakeholders, and ensuring technical feasibility Hands-on expertise in ETL, DWH and BI development. Competencies: Strong adaptability and problem-solving skills in an agile work setting. Extensive hands-on experience with key Azure services and SQL scripting. Ability to develop and implement effectively. Proven analytical and troubleshooting skills. Excellent written, Oral communication. Qualifications: Graduate: B-Tech/ BE/ MCA Certifications: (Good to have): DWH, SQL, BI

Position Overview This role is responsible for defining and delivering ZURU s next-generation data architecture built for global scalability, real-time analytics, and AI enablement. You will lead the unification of fragmented data systems into a cohesive, cloud-native platform that supports advanced business intelligence and decision-making. Sitting at the intersection of data strategy, engineering, and commercial enablement, this role demands both deep technical acumen and strong cross-functional influence. You will drive the vision and implementation of robust data infrastructure, champion governance standards, and embed a culture of data excellence across the organisation. Position Impact In the first six months, the Head of Data Architecture will gain deep understanding of ZURU s operating model, technology stack, and data fragmentation challenges. You ll conduct a comprehensive review of current architecture, identifying performance gaps, security concerns, and integration challenges across systems like SAP, Odoo, POS, and marketing platforms. By month twelve, you ll have delivered a fully aligned architecture roadmap implementing cloud-native infrastructure, data governance standards, and scalable models and pipelines to support AI and analytics. You will have stood up a Centre of Excellence for Data, formalised global data team structures, and established yourself as a trusted partner to senior leadership. What are you Going to do Lead Global Data Architecture: Own the design, evolution, and delivery of ZURU s enterprise data architecture across cloud and hybrid environments. Consolidate Core Systems: Unify data sources across SAP, Odoo, POS, IoT, and media into a single analytical platform optimised for business value. Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, and Snowflake. Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage. Enable Metadata Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics. Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including demand forecasting, pricing models, and personalisation. Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Marketing, Finance, Supply Chain, RD, and Technology. Optimize Cloud Cost Performance: Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms. Establish Data Leadership: Build and mentor a high-performing data team across India and NZ, and drive alignment across engineering, analytics, and governance. Vendor and Tool Strategy: Evaluate external tools and partners to ensure the data ecosystem is future-ready, scalable, and cost-effective. What are we Looking for 8+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases Hands-on expertise with ingestion, transformation, and orchestration pipelines (e.g. Kafka, Airflow, DBT, Fivetran) Strong knowledge of ERP data models, especially SAP and Odoo Experience with data governance, compliance (GDPR/CCPA) , metadata cataloguing, and security practices Familiarity with distributed systems and streaming frameworks like Spark or Flink Strong stakeholder management and communication skills, with the ability to influence both technical and business teams Experience building and leading cross-regional data teams Tools Technologies Cloud Platforms: AWS (S3, EMR, Kinesis, Glue), Azure (Synapse, ADLS), GCP Big Data: Hadoop, Apache Spark, Apache Flink Streaming: Kafka, Kinesis, Pub/Sub Orchestration: Airflow, Prefect, Dagster, DBT Warehousing: Snowflake, Redshift, BigQuery, Databricks Delta NoSQL: Cassandra, DynamoDB, HBase, Redis Query Engines: Presto/Trino, Athena IaC CI/CD: Terraform, GitLab Actions Monitoring: Prometheus, Grafana, ELK, OpenTelemetry Security/Governance: IAM, TLS, KMS, Amundsen, DataHub, Collibra, DBT for lineage What do we Offer Competitive compensation 5 Working Days with Flexible Working Hours Medical Insurance for self family Training skill development programs Work with the Global team, Make the most of the diverse knowledge Several discussions over Multiple Pizza Parties

Not Applicable Specialism Data, Analytics AI Management Level Senior Associate Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. . s Roles Responsibilities Hands on Experience with Power BI Dashboard Development and willing to work as an individual contributor. Clear Understanding of Data Warehousing Concepts. Should Work with a data engineering team closely to perform data extraction and data transformation processes to create the datasets. Good Experience in different Categories of DAX functions like Time Intelligence Function, Filter Functions, Date Functions, Logical Functions, Text Functions, Number and Statistical Functions. Good experience with Visual level, Page level, Report level and Drill Through filters for filtering the data in a Report. Experience in Row Level Security (RLS) implementation in Power BI. Should work with OnPremises Data Gateway to Refresh and Schedule Refresh of the Dataset. Strong data transformation skills through Power Query Editor with familiarity in M language. Data Modelling knowledge with Joins on multiple tables and creating new bridge tables. Knowledge on PBI desktop features like Bookmarks, Selections, Sync Slicers Edit interactions. Knowledge of PBI Service features like creating import, scheduling extract refresh, managing subscriptions etc. Publishing and maintenance of Apps in Power BI. Also, knowledge on configuring Row Level Security and Dashboard level Security in Power BI Service. Experience in creating and publishing reports on both web and mobile layout. Able to Perform Unit Testing like functionality testing and Data Validation. Report Performance Optimization and Troubleshooting. Clear Understanding of UI and UX designing. Hands on Working Experience in SQL to write the queries. Very good communication skills must be able to discuss the requirements effectively with business owners. Mandatory skill sets Power BI, DAX Preferred skill sets Power BI, DAX Years of experience required 48 Years Educational Qualification BE, B.Tech, MCA, M.Tech Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills DAX Language, Power BI Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Travel Requirements Available for Work Visa Sponsorship

. As a Product Marketing Manager leader of Skyhigh s network security portfolio, you will lead and own the go-to-market strategy for our Secure Web Gateway (SWG) and Zero Trust Network Access (ZTNA) offerings driving positioning, messaging, and enabling Skyhigh Security s field and channel teams to drive pipeline and revenue. You ll work cross-functionally with product, sales, customer value and marketing teams while staying closely connected to customers and market trends. Your impact will be directly tied to Skyhigh s success in expanding our presence in regulated industries and strengthening our leadership in Security Service Edge. Role Overview As a key driver of growth, the Product Marketing team at Skyhigh plays a central role in shaping how we bring products and new capabilities to market and accelerate the success of our existing portfolio. As a Product Marketing Manager leader of Skyhigh s network security portfolio, you will lead and own the go-to-market strategy for our Secure Web Gateway (SWG) and Zero Trust Network Access (ZTNA) offerings driving positioning, messaging, and enabling Skyhigh Security s field and channel teams to drive pipeline and revenue. You ll work cross-functionally with product, sales, customer value and marketing teams while staying closely connected to customers and market trends. Your impact will be directly tied to Skyhigh s success in expanding our presence in regulated industries and strengthening our leadership in Security Service Edge. What You ll be accountable for: Define strategic product positioning for SWG and ZTNA grounded in buyer needs, market dynamics, and Skyhigh s unique strengths then translate it into clear, impactful messaging across all key personas. Translate product capabilities into compelling value propositions that result in positive business outcomes resonating with security and networking buyers. Develop competitive narratives that help Skyhigh win with the target SSE segments by clearly demonstrating our differentiation. Go-to-Market Commercial Success Own product-level bookings goals for the network security portfolio and the strategies to meet and exceed those targets. Define and execute go-to-market strategies aligned to regional sales priorities. Partner with field teams to support product launches, delivering enablement tied to customer journeys, competitive insights, and key value drivers. Collaborate with sales ops and business intelligence teams to track product level performance metrics including pipeline coverage, conversion rates, and win/loss trends. Own campaign activation and work closely with Demand Gen to launch targeted campaigns that drive qualified pipeline for your product lines. Ensure messaging, offers, and audience targeting align to your product line s commercial goals. Monitor campaign performance and optimize GTM levers based on results. Develop and maintain enablement tools like pitch and champion decks, value maps, discovery and objection handling guides, competitive battlecards, and ROI models. Lead enablement sessions for sales, SEs, and partners to drive field readiness. Establish a closed feedback loop with field teams to refine messaging and improve sales effectiveness. Analyze buyer behavior, conversion trends, and adoption patterns to identify opportunities Work with Product to recommend changes in pricing, packaging, or feature prioritization Track and synthesize market, customer, and competitive intelligence to inform product roadmap Drive case study development in partnership with customer value and product management teams that highlight key use cases, measurable outcomes, and product differentiation. Support Analyst Relations with messaging, proof points, and customer validation for strategic evaluations and briefings. 8+ years in product marketing or GTM roles focused on network security, SWG, ZTNA, SSE, SASE, or related infrastructure technologies. Deep understanding of enterprise security buyers and sales cycles, with a proven ability to influence pipeline and revenue outcomes. Strong strategic thinking, able to connect product capabilities to real-world business impact and competitive advantage. Data-driven mindset with experience interpreting GTM performance metrics and driving iterative improvements. Exceptional communication and storytelling skills, with the ability to distill complexity into compelling narratives for sales, customers, and analysts. Strong cross-functional collaboration skills, particularly working with Product, Sales, and Demand Gen teams. With an ability to influence without authority and drive alignment across global, matrixed teams. Experience supporting Analyst Relations with briefings and targeted inquiries. Experience marketing to regulated industries such as financial services, healthcare, or government. Familiarity with hybrid deployment models (on-prem + cloud) and their impact on buying decisions. Experience representing the company at industry events and tradeshows; participation in panels or thought leadership forums is a plus. Exposure to Account-Based Marketing (ABM) strategies and campaign planning across the funnel. We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Medical, Dental and Vision Coverage Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Possess handson experience in IICS / Informatica Powercenter. Demonstrated involvement in endtoend IICS/IDMC project. Possess handson experience in Informatica PowerCenter Structured Query Language (SQL) Data Warehouse expertise Experience in Extract, Transform, Load (ETL) Testing Effective communication skills Key Responsibilities Design and develop ETL processes using Informatica IICS / Informatica Powercenter. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Should have good expertise on IICS Data integration / Informatica Powercenter and Application Integration, Oracle SQL Implement data integration solutions that ensure data accuracy and consistency. Monitor and optimize existing workflows for performance and efficiency. Troubleshoot and resolve any issues related to data integration and ETL processes. Maintain documentation for data processes and integration workflows. Mandatory skill sets ETL Informatica Preferred skill sets ETL Informatica Years of experience required 2 4 yrs Education qualification BTech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred Required Skills ETL (Informatica) Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} No

Job Responsibilities: Team Management: Drive high levels of employee engagement (include Daily, weekly, monthly team connects) to enable high retention and satisfaction rates. Help manage team work life balance through efforts on leave planning and rostering. Communicate effectively within & with team members & escalate issues to the management for timely resolution. Continuously manage performance through timely and effective feedback and coaching. Partner with Recruiting and Training functions to help improve the quality of incoming talent. Operations & Delivery: Manage team production and conduct process Quality monitoring. Manage work assignment allocation & review of work list. Encourage & engage team members for continuous improvement / process optimization / automation ideas. Manage Business Intelligence through reports & MIS for internal / client use. Determine validity of move to client , either send back instruction to Rep or approve & move to client. Review coding review requests & quantify preventable issues. Communicate to AR, PP or Coding teams as applicable. Scenario findings to all staff for examples that were not valid coding review needs. Work with Coding on responses that can be used in appeals when coded correctly . Review denial adjustments for validity - quantify preventable issues. Communicate to applicable departments to minimize and use accounts as examples in training for more effective actions. Review high risk/aged/ excessive incomplete action account balances. Manage up review AR findings and feedback. Create QA & Tip for week from client, payer, and account assessment scenarios. Manage Global Issues impacting team performance / client business and share inputs with Quality & Training teams. Compliance: Ensure highest levels of Organization and Healthcare related compliance requirements are adhered to. Ensure adherence to maintaining all necessary process documentation as per the QMS.

About the Role: We are seeking an experienced and dynamic Manager - Talent Acquisition to lead our efforts in attracting, engaging, and hiring top-tier talent in the Data Engineering, Data Science, and Business Intelligence domains. This pivotal role will be responsible for developing and executing comprehensive recruitment strategies, building strong pipelines, and fostering exceptional candidate experiences. The ideal candidate will possess deep expertise in the data and analytics landscape, coupled with a proven track record in leading and mentoring recruitment teams. The Talent Acquisition Manager will also play a crucial role in employer branding, showcasing what makes our company an incredible place to work. From utilizing data analytics to track hiring metrics to collaborating with marketing teams on outreach initiatives, you will be at the forefront of our talent acquisition efforts. This role requires strong leadership, exceptional communication skills, and the ability to create a positive candidate experience. If you are passionate about building teams and have a keen eye for identifying talent, we would love to have you on board to help us shape the future of our workforce. Key Responsibilities Lead and manage the talent acquisition team to meet hiring goals and objectives. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Utilize data analytics to track and report on key recruiting metrics and KPIs. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Conduct training sessions for hiring managers on best practices in interviewing and selection. Required: Bachelors degree in Human Resources, Business Administration, Computer Science, or a related field. 7+ years of progressive experience in talent acquisition, with a minimum of 3 years specificall

Are you a systems administrator, firmware developer, or IT support specialist who loves building end to end automated solutions to drive Amazon digital products improvementIf so, the Automation team under Customer Experience and Business Trends (CXBT) needs your help. We build automated solutions with both hardware and software to measure customer experience and digital product performance on the end devices. We are seeking a Lab Support Engineer to support us in assembling and maintaining experimental setups and hosts for our Lab. As the demand for devices in our lab continues to grow and we expand the horizon to new and challenging work streams we need engineers who stand ready to build and scale our production fleet, investigate and resolve complex technical issues in short notice. As a Lab Support Engineer, you will be the first point of contact for software engineers and managers who request for additional setups and modifications to be carried out through vendors or in-house. You will support our development and production hosts and will additionally contribute to operation process improvement initiatives. Partnering with Software Development Managers (SDM), Technical Program Managers (TPM) and Engineers to construct, assemble, test, and troubleshoot systems (remote and locally). Monitoring performance and ensuring system availability. Supporting software engineering teams by contributing to innovative and automated needs for device automation. Provisioning the Linux hosts to perform automated experiments, support host administration, and troubleshooting. Composing technical documents for operational process and troubleshooting. A day in the life The Lab Support Engineer will contribute to ensure operational excellence by engaging in ticket resolution, conducting technical (remote and locally) support, and implementing system migrations of experiments. The Lab Support Engineer will also assist in providing remote support on an as needed basis as the team scales. Frequently, the Lab Support Engineer will collaborate and grow in developing system approaches and build design improvements. About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer needs, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds including: Product Managers, Software Developers, Computer Vision experts, Solution Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. 2+ years of software development, or 2+ years of technical support experience Experience troubleshooting and debugging technical systems Experience in Unix Experience scripting in modern program languages Bachelors degree in Electronics & Communications, Computer Engineering or similar. Experience in networking fundamentals and ability to troubleshoot issues with related tools (e.g., ICMP, traceroute, netstat, pcap, etc.) Experience in maintaining lab facilities for optimal efficiency and creating new processes. Excellent communication and writing skills. Resourceful and quick to take initiative. Ability to occasionally adjust work schedule to business needs. Able to interact with teams in person and remotely in multiple locations.

Our Customer Experience and Business Trends (CXBT) team is seeking a skilled and motivated Business Intelligence Engineer (BIE) to analyze and deliver insights to help us better serve customers. Our team within the CXBT organization is called Benchmarking Economics, Analytics, and Measurement (BEAM). BEAM is a central team that consists of economics, analytics (business intelligence) and measurement science (data scientists). Our mission is to drive customer experience (CX) improvement through science modeling and quantitative data analytics. Our core functional skills include: data collection, science modeling, insights reporting, and automation. The right candidate is passionate about understanding customer needs, perceptions, and experiences, diving deep into complex problems, and continuously striving to deliver deeper insights. The person in this role will innovate, build new methodologies to generate insights, and make recommendations to drive actions that directly impact our current and future customers. A successful candidate will possess excellent analytical skills, and have the ability to work collaboratively to influence business leaders at all levels, including senior management. Own, design, develop, document, and manage scalable solutions for new and ongoing analyses metrics, reports, and dashboards to support business needs Identify new data sources and invent new methodologies and approaches to understand and drive improved customer experiences Drive efforts to simplify, automate, and standardize processes across the team to drive efficiencies, expand scope, and drive increased impact to customer experience Articulate assumptions, methodologies, results, and implications Present analyses to both technical and non-technical stakeholders, ensuring clarity and understanding About the team Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings for almost every business at Amazon for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds including: Product Managers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Are you passionate about transforming complex data into actionable business insights at a global scaleRBS Brand Experience (formerly APIE) is seeking an experienced Business Intelligence Engineer who thrives on ambiguity and can decipher evolving business needs to shape data-driven solutions. As a Business Intelligence Engineer, youll be at the intersection of data and business strategy, translating complex requirements into actionable analytics solutions. Youll partner with stakeholders to unlock insights that elevate our global work authorization experiences and drive program scalability. A successful candidate will demonstrate: Advanced SQL skills for writing complex queries and stored procedures to extract, transform, and analyze large datasets Proficiency in Python, particularly with libraries like pandas and PySpark, for data manipulation and ETL processes Strong analytical and problem-solving capabilities, with the ability to translate business requirements into efficient data solutions Experience in designing and implementing scalable ETL pipelines that can handle large volumes of data Expertise in data modeling and database optimization techniques to improve query performance Ability to work with various data sources and formats, integrating them into cohesive data structures Skill in developing and maintaining data warehouses and data lakes Proficiency in using BI tools to create insightful visualizations and dashboards Ability to thrive in ambiguous situations, identifying data needs and proactively proposing solutions Excellence in communicating technical concepts and data insights to both technical and non-technical audiences Customer-centric mindset with a focus on delivering data solutions that drive business value" A day in the life Youll work closely with Product Managers, Software Developers, and business stakeholders to: Build and maintain dashboards that drive business decisions Perform deep-dive analyses to uncover actionable insights Develop and automate data processes to improve efficiency Present findings and recommendations to leadership Partner with global teams to implement data-driven solutions 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 scripting language (e.g., Python, Java, or R) Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) 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 Bachelors degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Experience in designing and implementing custom reporting systems using automation tools

Responsibilities & Key Deliverables Ensure Compliance to the processes through control & Audit. Prepare/Update purchasing processes and be custodian of the same Update standards, methods and procedure to meet compliance requirements. Implement tracking & monitoring system for PR/Po process and alert the system to avoid delays. Be a SPOC to coordinate with central teams for compliance/audits. Analysis then explores initiatives to improve efficiency & efficacy of MRV Purchase. Facilitate & Coordinate audits of PAT, CMS, ICFR, ISMS etc., Collecting, Maintaining and analysis of monthly/weekly/ daily MIS (as per requirement) to represent the DRM Report. Initiate & Draft submission of Manuals, Responsibility Matrix/ Purchase Policy, Process Documents etc. for approval and subsequently implementation of same. Ensure the Compliance with Procurement and Ethics Policies Departmental representative for Third party audits like ISO 14001, 45001, 27001, 50001 & IATF. Facilitate Internal and Third-Party Audit and responsible for closing Audit Points and NCRs Preferred Industries Production/Engg/R&D Auto / Auto Equipment Automobile Farm Sector Education Qualification MBA; Bachelor of Engineering; Bachelor of Engineering General Experience 6 to 10 years (Preferred experience in Internal Audits in Quality/supply chain/corporate function) Critical Experience System Generated Core Skills Analytical Thinking Business Intelligence (BI) Communication Skills Conflict Management Leadership Skills Relationship Management System Generated Secondary Skills

Role Overview: The Head Business Insights will lead the organization s analytics and decision intelligence function, transforming data into actionable insights to support strategic, tactical, and operational decision-making. The role will partner with cross-functional teams to embed a data-driven culture and drive high-impact initiatives across the telecom and cloud services verticals. Key Responsibilities: Strategy & Vision Define and drive the vision, roadmap, and KPIs for the Business Insights function. Align business insights strategy with enterprise goals, focusing on growth, efficiency, customer experience, and profitability. Data Analytics Leadership Lead a team of domain analytics leads and analysts across B2B, cloud, network, and enterprise services. Identify opportunities for predictive and prescriptive analytics across key domains (e.g., churn, usage patterns, product uptake) and work with the AI CoE team to take it forward. Insight Generation Deliver real-time, self-service dashboards and deep-dive analytics to enable data-driven decision-making. Translate complex data into clear narratives for leadership (CFO, CTO, CEO) to drive product, pricing, and operational strategy. Collaboration & Stakeholder Engagement Collaborate with Product, Sales, Marketing, Finance, and Operations teams to define analytical priorities. Work closely with the IT delivery, IT operations, MDM, AI CoE, and QA teams to ensure insight integrity and timeliness. Data Governance & Quality Advocate for data standardization, availability, and quality improvement across source systems. Ensure compliance with data privacy, security, and regulatory standards (e.g., DPDP, TRAI guidelines). Team Development Build and mentor a high-performing team of data professionals. Experience: 15+ years (with at least 5 years in a leadership role in analytics or business intelligence) Bachelor s degree in Engineering, Statistics, Economics, or related field Master s degree (MBA, MS in Analytics, Data Science, or related field) preferred Certifications in data analytics/BI tools (e.g., Tableau, Power BI) or advanced analytics (e.g., Python, R) are a plus. Should definitely have exposure to telecom related reporting and regulatory overview apart from the technical and subject related requirement.

About Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Job Description: As a Business Intelligence Engineer, you will play a pivotal role in leveraging data to drive strategic decisions and enhance operational efficiency. You will be responsible for designing, developing, and maintaining PowerBI dashboards and reports that provide valuable insights to various stakeholders across the organization. Responsibilities: Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights using SQL and PowerBI. Develop visually appealing and interactive dashboards and reports to effectively communicate key performance indicators (KPIs), trends, and anomalies. Optimize data models and queries to ensure efficient performance and scalability of PowerBI solutions. Implement best practices for data visualization, ensuring clarity, consistency, and usability for end users. Work closely with data engineers to integrate data from various sources and maintain data accuracy and integrity. Provide training and support to end users to maximize adoption and utilization of PowerBI tools. Stay updated on industry trends and advancements in data visualization and analytics technologies, recommending improvements and innovations as appropriate. Collaborate with IT teams to ensure compliance with data security and governance policies. Required Skills: Proven experience as a PowerBI Developer or similar role, with a strong portfolio showcasing impactful dashboards and reports. Proficiency in SQL for data extraction, transformation, and manipulation. Solid understanding of data modeling concepts and experience in designing efficient data models. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Experience with other BI tools (e.g., Tableau) is a plus.

Role Description Provides leadership for the overall architecture, design, development, and deployment of a full-stack cloud native data analytics platform. Designing & Augmenting Solution architecture for Data Ingestion, Data Preparation, Data Transformation, Data Load, ML & Simulation Modelling, Java BE & FE, State Machine, API Management & Intelligence consumption using data products, on cloud Understand Business Requirements and help in developing High level and Low-level Data Engineering and Data Processing Documentation for the cloud native architecture Developing conceptual, logical and physical target-state architecture, engineering and operational specs. Work with the customer, users, technical architects, and application designers to define the solution requirements and structure for the platform Model and design the application data structure, storage, and integration Lead the database analysis, design, and build effort Work with the application architects and designers to design the integration solution Ensure that the database designs fulfill the requirements, including data volume, frequency needs, and long-term data growth Able to perform Data Engineering tasks using Spark Knowledge of developing efficient frameworks for development and testing using (Sqoop/Nifi/Kafka/Spark/Streaming/ WebHDFS/Python) to enable seamless data ingestion processes on to the Hadoop/BigQuery platforms. Enabling Data Governance and Data Discovery Exposure of Job Monitoring framework along validations automation Exposure of handling structured, Un Structured and Streaming data. Technical Skills Experience with building data platform on cloud (Data Lake, Data Warehouse environment, Databricks) Strong technical understanding of data modeling, design and architecture principles and techniques across master data, transaction data and derived/analytic data Proven background of designing and implementing architectural solutions which solve strategic and tactical business needs Deep knowledge of best practices through relevant experience across data-related disciplines and technologies, particularly for enterprise-wide data architectures, data management, data governance and data warehousing Highly competent with database design Highly competent with data modeling Strong Data Warehousing and Business Intelligence skills or including: Handling ELT and scalability issues for enterprise level data warehouse Creating ETLs/ELTs to handle data from various data sources and various formats Strong hands-on experience of programming language like Python, Scala with Spark and Beam. Solid hands-on and Solution Architecting experience in Cloud Technologies Aws, Azure and GCP (GCP preferred) Hands on working experience of data processing at scale with event driven systems, message queues (Kafka/ Flink/Spark Streaming) Hands on working Experience with GCP Services like BigQuery, DataProc, PubSub, Dataflow, Cloud Composer, API Gateway, Datalake, BigTable, Spark, Apache Beam, Feature Engineering/Data Processing to be used for Model development Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.) Experience building data pipelines for structured/unstructured, real-time/batch, events/synchronous/ asynchronous using MQ, Kafka, Steam processing Hands-on working experience in analyzing source system data and data flows, working with structured and unstructured data Must be very strong in writing SparkSQL queries Strong organizational skills, with the ability to work autonomously as well as leading a team Pleasant Personality, Strong Communication & Interpersonal Skills Qualifications A bachelor's degree in computer science, computer engineering, or a related discipline is required to work as a technical lead Certification in GCP would be a big plus Individuals in this field can further display their leadership skills by completing the Project Management Professional certification offered by the Project Management Institute.

Role Description : As a Senior Business Analyst at Incedo, you will be responsible for understanding and documenting business requirements and translating them into technical specifications. You should have excellent communication skills and be able to work closely with stakeholders to identify and solve business problems. Roles & Responsibilities: Lead requirements gathering and analysis efforts, ensuring that all stakeholders' needs are understood and translated into clear, concise, and complete requirements Conduct feasibility studies and impact analysis to identify potential risks, issues, and opportunities related to proposed changes or solutions Develop and maintain project documentation, including business requirements, functional specifications, process flows, use cases, and user stories Collaborate with cross-functional teams, including developers, testers, and project managers, to ensure that requirements are understood and implemented correctly Facilitate communication and collaboration between business stakeholders and technical teams Conduct business process modeling and analysis to identify areas for process improvement Develop and maintain domain knowledge in the business area(s) supported by the organization Participate in the development and implementation of business analysis best practices and standards. Technical Skills Skills Requirements: Strong analytical and problem-solving skills. Experience in requirements gathering, documentation, and management. Familiarity with project management methodologies such as Agile or Waterfall. Proficiency with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description : As a Technical Lead - Datawarehousing Development at Incedo, you will be responsible for designing and developing data warehousing solutions. You should have experience with ETL tools such as Informatica, Talend, or DataStage and be proficient in SQL. Roles & Responsibilities: Design and develop data warehousing solutions using tools like Hadoop, Spark, or Snowflake Write efficient and optimized ETL scripts Collaborate with cross-functional teams to develop and implement data warehousing features and enhancements Debug and troubleshoot complex data warehousing issues Ensure data security, availability, and scalability of production systems Technical Skills Skills Requirements: Proficiency in ETL (Extract, Transform, Load) processes and tools such as Informatica, Talend, or DataStage. Experience with data modeling and schema design for data warehousing applications. Knowledge of data warehouse technologies such as Amazon Redshift, Snowflake, or Oracle Exadata. Familiarity with business intelligence (BI) tools such as Tableau, Power BI, or QlikView. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred .