Sr Data Analyst
Target · Bengaluru
| Company | Target |
|---|---|
| Role | Sr Data Analyst |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 3–6 years |
| Job type | Full-time |
| Qualification | B.Tech/B.E. or Master's in Statistics, Econometrics, Mathematics or equivalent |
About this job
Target is hiring a Senior Data Analyst for its Data Analytics team in Bengaluru. You will turn business problems into clear analytical questions and give leadership the analysis they need to make profitable decisions.
The role uses causal, predictive and prescriptive analytics on large data in BigQuery and Spark, with pipelines in Airflow. It also includes building GenAI and agent-based analytical solutions and telling clear stories with data.
Eligibility
- 5 to 8 years overall, with 3 to 5 years of relevant experience
- Extensive SQL, SQL tuning and DW/BI concepts
- Hands-on BI tool experience such as Power BI, Looker or Tableau
- R, Python or Hive plus regression, time-series and classification methods
- GenAI experience such as prompt engineering and RAG for analytics
Skills required
What you will do
- Turn business problems into structured analytical approaches
- Build scenario and decision models to weigh trade-offs
- Deliver analytical and GenAI solutions for forecasting and optimisation
- Work with large data in BigQuery and Spark and build Airflow pipelines
- Present insights clearly to business stakeholders
How to apply
- Open the official Target job page with the Apply button and submit your application there.
- Tailor your resume to analyses that changed a business decision, the methods you used and the data size.
Before the interview, prepare:
- SQL: window functions, cohort queries and optimising heavy joins in BigQuery
- Causal thinking: A/B tests vs observational data and confounders
- Forecasting: time-series basics, seasonality and evaluating accuracy
- Storytelling: present a finding to a non-technical leader in three minutes
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