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 useful 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
📌 TE - 1481 - Data Analyst (Hyderabad)
🏢 Softobiz
📍 Hyderabad
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