Senior Data Analyst I
Elsevier (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Independently deliver complex analytical tasks using Databricks, Snowflake, SQL, Python, and related tools.
- Collaborate with Product Owners and Data Scientists to analyze large datasets, generate insights, assess data and product quality, and support data product development.
- Support Research Data Platform domains with large-scale data preparation, testing hypotheses, and evaluating algorithm performance at scale.
Minimum Requirements
- Minimum 5 years of experience in business intelligence, data engineering, analytics, or related fields.
- Strong SQL and Python programming skills with experience handling large and complex datasets.
- Practical experience using Databricks, Apache Spark, PySpark, Pandas, and Snowflake for data processing and analysis.
- High proficiency in English for communication with global stakeholders.
Ideal Candidate Profile
- Experienced in working within product and data science teams, supporting data product domains and analytics.
- Skilled in translating complex data into actionable insights and recommendations for varied stakeholders.
- Comfortable engaging with Agile tools and managing stakeholder communication and reporting effectively.