Business Analyst

Location: Bangalore

Function: Product & Engineering

Reports to: Engineering Manager

Type: Full-time

At Superset , India’s largest university recruitment platform, we’re passionate about building software that solves real problems. We partner with leading educational institutions and employers to transform how they use data and technology to hire university students.

Superset powers recruitment at 400+ colleges and with 1,800+ recruiters across India and is proudly backed by Blume Ventures .

As a Business Analyst (Dashboards & Insights) , you’ll serve as the analytical bridge between our users and our product/engineering teams across the TNP Suite and Superset Assessments .

Your primary mission in the first six months will be to work hands-on with Metabase and Superset’s internal dashboard engine to deliver high-quality dashboards and reports — both for customers (placement offices, recruiter teams) and internal stakeholders (growth, post-sales, billing, and operations).

• Requirements to Dashboards: Translate business needs into precise dashboard/report specifications, including metrics, filters, ownership, refresh cadence, and acceptance criteria.
• Build & Ship: Create and maintain dashboards in Metabase and Superset’s internal dashboard engine; ensure accuracy, performance, and usability.
• Funnel & Cohort Analysis: Analyze candidate, recruiter, and TPO funnels to surface key drop-offs, time-to-convert metrics, and actionable insights.
• Executive Reporting: Produce periodic scorecards for customers and leadership; standardize definitions and ensure consistency across metrics.
• Product Usage to Billing Insights: Trace product usage patterns to billing events, identify anomalies, and recommend workflow improvements to reduce leakage.
• Stakeholder Facilitation: Conduct lightweight discovery sessions with external stakeholders (recruiters, placement officers) and internal teams (post-sales, billing, growth) to align on problems, definitions, and success criteria.
• Process Mapping: Draft AS-IS / TO-BE process flows for key reporting and billing paths; document SOPs and data dictionaries.
• Quality & Governance: Own data QA for dashboards (source-to-metric validation, edge cases) and champion clear metric definitions.

• Ship a set of production-ready dashboards (customer-facing and internal) with clear ownership and adoption.
• Establish standardized metric definitions for core funnels (application → assessment → offer) with a published data dictionary .
• Deliver monthly executive scorecards for at least one customer segment and one internal team.
• Identify and execute 2–3 data-backed improvements in billing workflows (e.g., reconciliation accuracy, reduced leakage, or improved turnaround time).

• External: Company users (recruiters), Placement Officers (TPOs), and campus stakeholders.
• Internal: Post-Sales / Customer Success, Billing & Finance Ops, Product Managers, Engineering, and Growth/Analytics teams.

Core Data Stack:

• SQL (MySQL), Amazon Redshift, Metabase, Elasticsearch

Nice to Have:

• Apache Airflow, AWS DMS, basic data modeling, and versioning ETL specs

Collaboration Stack:

• Jira, Confluence, Google Sheets/Excel (power user), API basics (reading specs, testing with Postman)