





Mid-level generalist Data Analyst in metro Hyderabad with broad SQL/Python/BI requirements increases applicant competition.
Core SQL, Python and BI skills are transferable, though healthcare domain knowledge is beneficial.
Explicit 3-6 years plus mandatory SQL, BigQuery, Python and BI skills make shortlisting strict.
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Own end-to-end data analysis and insight generation using data from BigQuery and other sources for a US healthcare business.
Build and maintain dashboards with BI tools (Looker, Power BI, Tableau) to monitor key metrics and detect anomalies before stakeholders do.
Design and run tests, apply statistical methods, build forecasting models, and communicate findings directly to US leadership including the CEO.
3 to 6 years experience in data analysis, business intelligence, or data science.
Strong SQL skills including joins, window functions, CTEs, and aggregation on large datasets.
Proficient in Python for analysis (pandas, numpy) and statistical packages (scikit-learn, statsmodels, or similar).
Experience with BigQuery or similar cloud data warehouses and at least one BI tool (Looker, Power BI, Tableau).
Able to independently frame and solve open-ended business problems using data without detailed specifications.
Experienced in applied statistics including hypothesis testing, regression, and able to distinguish correlation from causation.
Comfortable presenting complex analytic findings in clear, plain language to non-technical US leadership and working during US business hour overlaps.