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 current 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
Solid 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

Positive 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)

📌 Bi Data Analyst Haryana
🏢 Comviva
📍 Haryana