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Popular mid-level data role, metro Pune location, and recognizable fintech brand increase applicant competition.
Role demands finance-grade accuracy and payments domain knowledge, moderately limiting cross-industry transferability.
Mandatory Power BI, SQL and cloud data warehouse transformation skills enforce moderate shortlisting filters.
Own inventory of manual reports and business logic, capturing definitions, owners, cadence, and dependencies.
Rebuild report logic using SQL transformations in cloud data warehouses like Snowflake, BigQuery, Redshift, or Synapse, ensuring parity with legacy outputs and documenting discrepancies.
Publish curated datasets and metrics for dashboards and consumers, collaborating with stakeholders on requirements and leveraging AI tools for efficient analysis and drafting.
Proficient in Power BI for building reports and dashboards.
Intermediate SQL skills: able to write queries from scratch including joins, aggregations, filters, and subqueries; comfortable reading unfamiliar schemas.
Experience with SQL transformations in cloud data warehouses to build reliable staging or curated datasets using joins, window functions, and reusable logic.
Ability to navigate fragmented, incomplete data from multiple disconnected source systems and reconcile inconsistencies. Work Experience Required: Not explicitly mentioned in the JD.
Regular user of AI tools (e.g., Copilot, ChatGPT, Claude) integrated into daily workflow for analysis and drafting.
Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Synapse preferred.
Comfortable working with finance-grade data accuracy that supports executive and regulatory reporting, and capable of cross-domain data analysis involving multiple business functions or systems.