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BI-Data Analyst

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Onsite

BI-Data Analyst

Comviva Technology

BI-Data Analyst

Skills

SQL QueriesBig DataMongoDBData EngineeringPythonPostgreSQLData AnalysisMetabasePySparkPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


Key Responsibilities

  • Work with the Business team to gather and define requirements for dashboards and reports
  • Build and maintain dashboards reports across markets on tools like Power BI / Metabase
  • Own the development and ongoing management of the BI Portal
  • Build data pipelines (e.g., in NiFi) to create base aggregates on the Data Warehouse that power new reports and dashboards
  • Monitor ongoing pipelines and own data veracity/quality
  • Work with Ops DE teams to ensure pipelines stay up and running and the BI portal stays up to date
  • Work with banks, payment gateways, and telcos on daily reconciliation
  • Build automated processes for monthly recon and generate data for billing

Key Skills (Must have)

  • 5+ years of experience in BI / Data Engineering / Data Analysis
  • Strong hands-on SQL skills (PostgreSQL, MongoDB, or equivalent) for querying and managing large datasets
  • Experience gathering requirements from business stakeholders and translating them into dashboards/reports
  • Hands-on experience building and owning dashboards/reports on BI tools such as Power BI or Metabase
  • Experience building data pipelines/ETL (e.g., Apache NiFi or similar) to create base aggregates on a Data Warehouse
  • Experience monitoring data pipelines and owning data quality/accuracy end-to-end
  • Experience with reconciliation processes, working with external parties (banks, payment gateways, telcos) on daily/monthly recon
  • Experience building automated recon processes and preparing billing data
  • Must have at least one of the following: (a) experience in marketing analytics, managing customer campaigns and segmentation, OR (b) experience in fintech / digital lending / banking / MFI / mobile money or a similarly regulated financial domain -- the deeper the financial/domain knowledge, the stronger the fit

Good to have skills

  • Hands-on experience with PySpark / HDFS for big data processing
  • Working knowledge of Python (used internally by team members to build automation tooling -- not mandatory)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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