Location: Gurugram (Onsite)
Type: Full-time
Experience: 5–8 years
About the OpportunityAbout the Opportunity
We are hiring on behalf of our client — A well funded and fast-growing AI SaaS company — for a Senior Business Data Analyst who can independently lead complex analytical initiatives, translate business problems into scalable data solutions, and mentor junior analysts. This is a high-ownership role for someone who thinks strategically and ensures the organization runs on accurate, timely, and actionable insights — working directly with top leadership across Product, Ops, Growth, and Finance.
Key Responsibilities
Strategic & Cross-Functional Ownership
- Partner with leadership across Product, Ops, Growth, and Finance to translate business goals into analytical frameworks, KPIs, and measurable outcomes.
- Influence strategic decisions through data-driven recommendations, forecasting, and scenario modeling.
- Drive adoption of data-first practices across teams and proactively identify high-impact opportunity areas.
Analytics & Dashboarding
- Own end-to-end development of dashboards and analytics systems in Metabase (or similar BI tools).
- Build scalable KPI frameworks, business reports, and automated insights that support day-to-day and long-term decision-making.
- Ensure data availability, accuracy, and reliability across all reporting layers.
Advanced Data Analysis
- Write, optimize, and review complex SQL queries for deep-dives, cohort analysis, funnel performance, and product/operations diagnostics.
- Conduct root-cause analysis and hypothesis testing, and convert findings into clear, actionable recommendations.
Data Infrastructure Collaboration
- Work closely with engineering and data teams to define data requirements, improve data models, and support robust pipelines.
- Identify data quality issues, define fixes, and ensure consistency across systems and sources
Leadership & Process Excellence
- Mentor junior analysts, review their work, and establish analytics best practices.
- Standardize reporting processes, create documentation, and continuously improve analytical efficiency.
What We're Looking For
- 5–8 years of experience as a Business Analyst, Data Analyst, Product Analyst, or in a similar role within a fast-paced environment.
- Strong proficiency in SQL and relational databases, with hands-on experience building scalable dashboards (Metabase preferred).
- Demonstrated ability to convert raw data into structured analysis, insights, and business recommendations.
- Strong understanding of product funnels, operational metrics, and business workflows.
- Ability to communicate complex analytical findings to both technical and non-technical stakeholders.
- A proven track record of independently driving cross-functional initiatives from problem definition to execution.
Good to Have
- Experience with Python, Git, and BI tools such as Looker, Power BI, or Tableau.
- Hands-on exposure to data warehouses (BigQuery, Redshift, Snowflake).
- Familiarity with product analytics tools (Mixpanel, GA4, Amplitude).
- Exposure to forecasting, financial modeling, or experimentation (A/B testing).
Why Join
- Work directly with top leadership in a genuinely high-impact role.
- Be part of an innovative, fast-growing AI startup with real ownership of key projects.
- A collaborative, ambitious, and fast-paced work environment.
- Perks & benefits include a gym membership benefit, work-from-home and workation policy, and company-sponsored lunch.
- If you're looking for a role that combines strategy, execution, and leadership exposure, we'd love to hear from you — apply now.
