InMobi | Senior Analyst - Finance Business Insights

What you will do

• InMobi’s culture is all about rewarding excellence so there are fantastic opportunities for the right candidates!
• Finance BI team is part of FP&A and is responsible to upscale the organization towards data driven strategic decision making by adding the intelligence layer on top of this data - to unlock the huge potential that the right analytics could provide.
• You will contribute to creating disruptive and innovative consumer experiences using technology.
• Act as SME for finance data sources, definitions, and business logic across FP&A, Accounting, Revenue, and Business Units.
• Design and build Python and Spark (PySpark) pipelines that ingest, transform, and reconcile data from ERP, billing, ad platform, and operational systems into a governed analytics layer.
• Validate models and metrics rigorously, including back-testing forecasts and quantifying uncertainty.
• Automate reporting and decision support.
• Build interactive dashboards and metrics layers in Rill and Power BI that summarize performance and surface recommended actions, not just charts.
• Build AI agents and intelligent workflows.
• Design and deploy automations, reporting and insight generation using agents and workflows for tasks such as commentary drafting, anomaly explanation, reconciliation checks, and ad hoc data Q&A.
• Identify where agents create real leverage and where simpler automation is the better answer.
• Work independently and drive outcomes.
• Own the full lifecycle: technical design, build, testing, documentation, deployment, monitoring, and issue resolution.
• Own finance data end to end
• Model data for finance use cases (P&L, unit economics, forecasting inputs, variance analysis, close reporting) with clear lineage and documented logic.
• Analyze and find the signal
• Define metrics once in a governed semantic layer so every dashboard reports the same numbers.
• Write modular, reusable, version-controlled code that others can maintain.

Requirements

• Spark: 2+ years of hands-on experience building production jobs on Databricks or a comparable platform.
• SQL: Strong, with experience modeling data for analytics and finance use cases.
• Rill or a comparable BI-as-code tool (Looker LookML, Cube, or similar): 1+ year of hands-on use, or a demonstrated ability to become productive quickly.
• Power BI: Working knowledge of data modeling and DAX (or equivalent).
• Statistics: Applied experience with regression, time-series forecasting, hypothesis testing, and anomaly detection.
• ETL/ELT and lakehouse experience: Hands-on with tools such as Databricks, dbt, or Airflow, and familiarity with warehouse and lakehouse architecture.
• LLM APIs: Hands-on experience building with LLM APIs (Claude preferred), including prompt design, tool use, structured outputs, and evaluation.
• Finance fundamentals: Solid understanding of accounting, financial statements, and FP&A concepts. Able to build and check financial models.
• End-to-end delivery: A track record of translating a business problem into a sustainable data product and working independently as the go-to person for a domain.
• Communication: Able to document decisions, write clear specs, and explain results to non-technical leaders.
• Experience with agent frameworks (MCP, LangGraph, or similar) and multi-step AI workflow orchestration.
• Databricks certification (Data Engineer Associate or Professional) or an equivalent cloud data certification.
• Exposure to ad tech, digital media, or high-volume transactional businesses.
• At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

InMobi

InMobi is an employer hiring in India. In its own words: "AI and Consumer-first technology to provide amazing experiences and the joy of discovery on your smart phone."

Its finance, accounts, audit and tax openings in India are mostly in Bengaluru.