Senior Data Analyst I
RELX (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Independently execute complex data analytics projects using Databricks, Snowflake, SQL, and Python to generate insights and recommendations for product stakeholders.
- Analyze large datasets to support product quality assessment, data science algorithm validation, and development of data products within Research Data Platform domains.
- Communicate results effectively to Product Owners and Data Scientists, driving data-informed decisions and continuous improvement in data products.
Minimum Requirements
- Minimum 5 years of work experience in business intelligence, data engineering, analytics, or related fields.
- Proficient in SQL with experience managing large and complex datasets.
- Technical skills in Databricks, Python (including Pandas and PySpark), Apache Spark, and Snowflake are mandatory.
- English proficiency sufficient for communication with global stakeholders.
Ideal Candidate Profile
- Experienced in delivering analytics in data product teams, particularly in environments using distributed data-processing technologies like Databricks and Spark.
- Detail-oriented with strong analytical skills, capable of handling data quality issues, root-cause analysis, and validation of data science metrics like precision and recall.
- Comfortable interfacing with Product Managers, Data Scientists, and stakeholders, translating complex data insights into actionable recommendations.