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Data Analyst Location: Hyderabad Shift: US business hours overlap Experience: 3 to 6 years The role We are hiring a Data Analyst for a US healthcare business. The data already lands in BigQuery and thepipelines are looked after by the engineering team. Your job starts after that: work out what data we actually have, what is worth paying attention to, and what it is telling us.This is an analysis and insight role with a data science lean. You will be expected to find your own wayaround the warehouse, pull and shape data yourself, build the dashboards that matter, and then gofurther than the dashboard. Why did a number move. Is it correlation or causation. What happens next. You will work directly with US leadership, including the CEO, and be asked open questions rather thanhanded specifications. Responsibilities Understanding the data Explore what data exists across BigQuery and other sources, and build a working view of what isavailable, how reliable it is, and where the gaps are Identify which data is genuinely helpful for the questions the business is asking Recommend what should be monitored on an ongoing basis, and why Pull and manipulate data in raw form without waiting on the engineering team Analysis and insight Turn data into transparent observations and recommendations, not just charts Investigate why a metric moved: form a hypothesis, test it against the data, report the result in plain language Distinguish correlation from causation, and be explicit about which one you have Run cohort, segmentation, trend and outlier analysis across clinical, operational, member and growth data Deliver ad hoc analysis for US leadership on short turnaround Dashboards and monitoring Build dashboards in Looker, Looker Studio, Power BI or Tableau covering the metrics that matter Own them after launch: monitor them, catch anomalies, breaks and trend changes before stakeholders do Retire or rebuild reporting that nobody uses or nobody trusts Testing and predictive work Des .