RentoMojo
Data Analyst
BengaluruFull-timePosted yesterday
- Eligibility
- Not stated
- Batch
- 2020–2024
- Experience
- 2–5 years
- Salary
- ₹60,000–90,000/month
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About this role
About the role
- Design and implement automated data pipelines that feed into reporting systems without requiring constant manual intervention.
- Transform raw, complex datasets into insights that drive business decisions across the organization.
- Blend technical data engineering with strategic thinking about growth and metrics to shape how the company uses data.
What you'll work on
- Build and optimize SQL queries in PostgreSQL, MySQL, and related database systems, using advanced techniques like window functions, CTEs, and schema design to extract and structure data efficiently.
- Set up orchestration workflows that process data on schedules or in response to events, moving results seamlessly into Google Sheets, dashboards, and other downstream systems.
- Construct data models that organize information in ways analytics and business teams can actually use, avoiding the mess of raw tables.
- Dig into large, unstructured, and incomplete datasets to surface answers to open-ended business questions that don't have obvious solutions.
- Build and maintain dashboards in tools like Metabase, Power BI, Tableau, or Looker that let stakeholders explore data independently.
- Calculate and track business KPIs, then explain what the numbers mean in ways that guide decision-making across teams.
What we're looking for
- Advanced command of SQL, including window functions, common table expressions, query optimization, and the ability to design schemas that work at scale.
- Hands-on experience automating data workflows so outputs land in sheets, BI tools, and other systems with minimal hands-on work each time.
- Track record building scheduled and event-driven data processing pipelines using orchestration platforms.
- Deep grasp of data modeling principles and how to structure datasets so they're actually analyzable.
- Comfort with Excel and proficiency in at least one major BI platform such as Metabase, Power BI, Tableau, or Looker.
- Strong working knowledge of business KPIs and demonstrated ability to extract and communicate insights from raw data without needing hand-holding.
- Openness to AI-assisted tools and genuine interest in using them to work faster and smarter.