Manager, Business Analytics
Jobgether
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This role on the market
1,514 open analytics roles across 287 companies are on ApplySarthi right now, most of them in Bengaluru (115), Hyderabad (88), Delhi NCR (58).
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- Director, Data & Analytics StrategyAbbott
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- Senior AdTech Analytics Engineer (Measurement & Signals)Welltech
What analytics roles keep asking for: SQL (43%), Python (35%), Tableau (21%), Excel (16%), Stakeholder management (16%), AWS (14%), Power BI (13%), Data modelling (13%) — counted across their open postings here.
Azure jobs · BigQuery jobs · Data modelling jobs · Data warehousing jobs
Jobgether has 4,222 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for analytics roles keep coming back to SQL, Python, Tableau, Excel. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with ETL? Tell me one thing you learned the hard way.
- Tell me about an analysis that changed a decision. What did you find?
- How do you check that your numbers are right before you share them?
- Walk me through a dashboard or report you built. Who used it, and for what?
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Practise the Manager, Business Analytics at Jobgether interview free →Accountabilities:: Serve as the analytics lead for Commercial, Finance, Operations, and related business functions, providing technical expertise and strategic analytical guidance. Act as a thought partner to operational and commercial leaders, helping prioritize analytics investments, establish success metrics, and measure business outcomes. Partner cross-functionally to ensure analytical solutions align with strategic priorities and generate measurable business value. Design, develop, and maintain scalable analytics solutions using SQL, Python, Snowflake, Tableau, Power BI, and modern cloud-based data platforms. Conduct statistical analysis, forecasting, segmentation, hypothesis testing, predictive modeling, and exploratory data analysis to support business planning and operational decision-making. Collaborate with Data Engineering, IT, and Master Data Management teams to define data requirements, improve data quality, optimize data pipelines, and strengthen enterprise data architecture. Develop and maintain semantic data models, reusable datasets, KPI frameworks, and standardized metrics aligned with analytics governance standards. Support enterprise data governance by validating source-system integrity, documenting metric definitions, monitoring data quality, and promoting consistency across reporting and analytics. Apply AI, machine learning, and advanced analytics techniques where appropriate to improve forecasting, automate decision support, and uncover new business opportunities. Translate complex analytical findings into clear narratives, insights, and recommendations that can influence leadership decisions and business strategy. Requirements Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or another quantitative discipline. 6–8+ years of experience in advanced analytics, business intelligence, data science, revenue analytics, or a comparable technical analytical role. Expert-level SQL skills, including complex joins, window functions, common table expressions (CTEs), query optimization, and dimensional data modeling. Strong Python programming experience, including tools and libraries such as Pandas, NumPy, SciPy, StatsModels, Scikit-Learn, and data visualization frameworks. Strong understanding of data warehousing, ETL/ELT processes, data governance, and data quality management. Experience with cloud data platforms such as Snowflake, Redshift, Databricks, BigQuery, Azure Synapse, or similar technologies. Hands-on experience with Tableau, Power BI, or comparable business intelligence platforms, including dashboard development and performance optimization. Demonstrated ability to work with large and complex datasets and translate analysis into compelling business narratives, actionable insights, and recommendations. Ability to independently navigate ambiguous problems, prioritize analytical opportunities, and deliver high-impact solutions in a fast-paced environment. Experience in diagnostics, laboratory services, healthcare technology, life sciences, payer analytics, or related industries is preferred. Exposure to AI-enabled analytics, generative AI applications, workflow automation, or emerging analytics technologies is valued. Experience partnering with executive stakeholders and influencing strategic decisions through data-driven insights is preferred. Strong business acumen, communication, collaboration, problem-solving, and stakeholder-management skills. Benefits Base salary range of $130,000–$145,000 USD , with final compensation determined by factors such as experience, skills, geographic location, industry background, and education. Eligibility for additional discretionary bonuses or incentives. Potential eligibility for restricted stock units as part of the total compensation package. Competitive employee benefits designed to support professional and personal well-being. Remote work opportunity within the United States. Purpose-driven environment focused on advancing healthcare and improving patient outcomes. Opportunities for career development and growth within a collaborative, innovative organization.
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Listed on lever · posted 2026-10-01. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.