Training Business Analyst

1 day ago

Bangalore, India Superset Full time

Job Description – Business Analyst (Dashboards & Insights) Location: Function: Product & Engineering Reports to: Engineering Manager Type: Full-time About Superset 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. Role Overview 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). 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. Product Usage to Billing Insights: Trace product usage patterns to billing events, identify anomalies, and recommend workflow improvements to reduce leakage. 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. 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 . Identify and execute 2–3 data-backed improvements in billing workflows (e.g., reconciliation accuracy, reduced leakage, or improved turnaround time). Internal: Post-Sales / Customer Success, Billing & Finance Ops, Product Managers, Engineering, and Growth/Analytics teams. Tech & Tools Core Data Stack: ~ SQL (MySQL), Amazon Redshift, Metabase, Elasticsearch Apache Airflow, AWS DMS, basic data modeling, and versioning ETL specs Jira, Confluence, Google Sheets/Excel (power user), API basics (reading specs, testing with Postman)

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