Data Analyst

Role: Data Analyst

Industry: Fintech, AI

Location: Bangalore (Hybrid)

Type: Full-time

Experience: 2-5 years

About the compan

yThe company is an early-stage, venture-backed, AI-first finance technology company redefining how high-volume businesses run their finance operations. Instead of stitching together legacy, manual tools, it is building an intelligent finance operating system that centralizes data, automates reconciliation, streamlines payouts and collections, and delivers real-time result

sRole Overvi

• ewOwn complex SQL: write, review, and optimize queries across large, sometimes messy datasets (billions of rows) for analysis and production us
• e.Build reliable data pipelines and analyses in Python (pandas/pySpark where needed); automate recurring workflows and QC check
• s.Translate ambiguous business questions into measurable analyses, experiments, and metrics; tell the story with clarit
• y.Develop and maintain clean, well-documented datasets, views, and dashboards (e.g., dbt/Looker/Power BI/Tableau
• ).Investigate anomalies and data-quality issues; implement guardrails, tests, and alerts to prevent recurrenc
• e.Partner with Product, Ops, and Engineering to define KPIs, run deep-dives, and deliver actionable recommendation
• s.Improve performance: index/partition/tune queries, profile data, and benchmark transformation
• s.Uphold best practices for version control, reproducibility, and code review in analytic

s.What You’ll Bring (Must-Hav

• es)Exceptional SQL: expert at window functions, CTEs, complex joins, subqueries, performance tuning, and query optimizati
• on.Fluency in Python for data analysis/automation (pandas, numpy; familiarity with notebooks; writing modular, testable cod
• e).Proven experience analyzing large-scale datasets (row counts in the hundreds of millions+ or multi-TB) and delivering business insigh
• ts.Understanding of data modeling skills (star/snowflake), and ETL/ELT concepts, and cloud data warehouses (e.g., Snowflake/BigQuery/Redshif
• t).Meticulous attention to detail with a bias for validating assumptions, reconciling numbers, and documenting log
• ic.Ability to turn findings into clear narratives and visuals for technical and non-technical audienc
• es.2–5 years in a data analyst/analytics engineer role or equivale

nt.Nice-to-H

• avesExperience with dbt, Airflow, Dagster, or similar orchestration/testing to
• ols.Exposure to PySpark or distributed compute framewo
• rks.Dashboarding in Looker/Power BI/Tableau and semantic modeling (LookML/D
• AX).Comfort with experimentation (A/B testing, basic statistical inference) and cohort/retention analy

sis.What We

• OfferCareer velocity: Shape the architecture, influence roadmap, and grow into leader
• ship.Real impact: Ship fast, see your work power critical business operat
• ions.Work with a founding team of repeat entrepreneurs and technology leaders backed by top-tier
• VCs.Enjoy autonomy, high velocity, a product-first culture, and global ambi
• tion.Receive competitive salary and ESOPs for meaningful owner
• ship.Flexible work culture, 3 days work from o