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2 Days ago

Data Analyst

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1246120 - 1869190 INR - Yearly
Bangalore, Karnataka, India
Information Technology
Other
Vena Solutions

Overview

Department:

Product Management

Location: India - Resident (0008)

Compensation: ₹1,246,124 - ₹1,869,187 / year

Description

The Product Operations team within Vena’s Product & Technology organization plays a

key role in enabling data-driven decision making across product strategy & roadmap

execution, customer adoption, and day-to-day departmental operations. As part of our

continued investment in operational excellence and data quality, we are seeking a Data

Analyst to improve and maintain the quality, accuracy, and documentation of our data to

support reliable reporting, product insights, and operational excellence.

Key Responsibilities

  • Write and run refined SQL queries to check, clean, validate, and analyze data across

multiple sources

  • Build, maintain and update Power BI dashboards and data quality reports
  • Identify data issues, inconsistencies, and root causes, and support solutions
  • Document key data sources, field definitions, transformations, and lineage
  • Support data governance practices, standards, and data quality monitoring
  • Contribute to workflows using DBT and Git to support version-controlled, well-structured

data transformation processes

  • Partner with cross-functional teams to understand business questions and translate them

into reliable datasets and reporting outputs.

  • Apply best practices for reliable, well-structured analytical datasets
  • Other duties, as assigned

Skills, Knowledge And Expertise

  • Strong knowledge of SQL
  • Experience with Power BI or similar BI tools
  • Attention to detail with a strong focus on data accuracy and consistency
  • Familiarity with DBT and version control (Git)
  • Strong written and verbal communication
  • Analytical mindset with strong problem-solving capabilities.
  • Self-motivated with an eagerness to learn and adapt.
  • Ability to work independently while also collaborating with a team
  • Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies
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