Senior Analyst - Finance Business Insights

The role

The Senior Analyst will own finance data end to end and build intelligence layers for strategic decision making. This person will design data pipelines, apply statistical methods to explain performance, and automate reporting using AI agents and dashboards.

What you will do

• Own finance data end to end as an SME for data sources and business logic.
• Design and build Python and Spark pipelines to ingest and transform data.
• Model data for finance use cases like P&L and unit economics.
• Connect disconnected datasets to create a single version of truth.
• Apply statistical methods like regression and time-series forecasting to explain performance.
• Automate reporting and decision support using Rill and Power BI.
• Build AI agents and intelligent workflows for tasks like commentary drafting and anomaly explanation.
• Scope requirements directly with stakeholders and deliver independently.
• Write modular, reusable, version-controlled code.
• Manage the full lifecycle from technical design to deployment and monitoring.

Required qualifications

• 2 to 5 years of experience in analytics, data engineering, or finance systems.
• 2+ years of Python experience including writing tested, modular code.
• 2+ years of hands-on Spark / PySpark experience on Databricks or a comparable platform.
• Strong SQL with experience modeling data for analytics and finance use cases.
• 1+ year of hands-on use of Rill or a comparable BI-as-code tool.
• Working knowledge of Power BI data modeling and DAX.
• Applied experience with regression, time-series forecasting, hypothesis testing, and anomaly detection.
• Hands-on experience with ETL/ELT and lakehouse tools such as Databricks, dbt, or Airflow.
• Hands-on experience building with LLM APIs including prompt design and tool use.
• Solid understanding of accounting, financial statements, and FP&A concepts.
• Track record of translating business problems into sustainable data products.
• Bachelor's or master’s in engineering, Computer Science, Statistics, Mathematics, Finance, or a related field.

Nice to have

• 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.

Benefits

• Daily meals
• Gym
• Yoga classes
• Cutting-edge training and tools
• Cocktails at drink cart Thursdays
• Fun at work on Funky Fridays
• Ability to bring kids and pets to work

About the company

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Its businesses across advertising, marketing, data, and content platforms are shaping consumer experience in a world of connected devices.