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 practical 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 clear 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

Design and run tests to establish what is driving a result

Apply statistical methods appropriately: significance testing, regression, confidence intervals

Build forecasting and predictive models where they add value, and be honest about their limits

Measure the impact of business changes after they are made Working with the business Turn vague business questions into answerable data questions

Say when the data cannot support the conclusion someone wants, and what it would take to get there

Present findings to non-technical executives in writing and live

Work with the data engineering team on definitions, quality issues and new data requirements Must have 3 to 6 years in data analysis, business intelligence or data science

Strong SQL: joins, window functions, CTEs, aggregation across large tables

Comfortable working in BigQuery, or another cloud warehouse with the ability to pick BigQuery up quickly

Python for analysis: pandas, numpy, and at least one of scikit-learn, statsmodels or similar

Applied statistics: hypothesis testing, significance, regression, and knowing when each applies

Hands on with at least one BI tool: Looker, Looker Studio, Power BI or Tableau

Can walk through an analysis they ran end to end: the question, the hypothesis, the method, and what the business did as a result

Self directed. Comfortable being given a business problem rather than a ticket

Strong spoken and written English, comfortable presenting to US stakeholders

Available for US hours overlap Good to have US healthcare data: EHR, claims, eligibility, pharmacy or PBM feeds

Experience with predictive modelling or forecasting in a production business setting

Experimentation and A/B testing background

Exposure to finance or unit economics data: cost per member, cohort retention, revenue drivers dbt or Dataform familiarity, enough to read and extend existing models

Experience as the first or only analyst in a business

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