Business System Analyst - Private Equity Valuations
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Summary
Business analyst who owns the end-to-end private-equity multiple-determination workflow: mapping processes, writing requirements and acceptance criteria, managing data schema docs, and designing human-in-the-loop review gates. Liaises between engineering and PE valuation stakeholders. Core tools: Tableau, PL/SQL, JSON data modelling; 10+ years experience.
Business Analyst – Private Equity Valuations
Skills: Digital – BI Data Visualization (Tableau), Business Analysis, PL/SQL
Experience Required: 10 & Above
Role Description
Key Responsibilities
- Own the process mapping for the end-to-end multiple determination workflow, including inputs, transformations, outputs, and dependencies between stories.
- Liaise between the engineering team and the PE Valuations / Valuation Group stakeholders to resolve open design decisions (e.g., smoothing policy, PitchBook feasibility, Athena timing gap).
- Define and refine acceptance criteria for each story in collaboration with the PE Valuations team, ensuring outputs match deal team model expectations.
- Design the human-in-the-loop review gates, including what information is surfaced to analysts, how overrides are captured, and how analyst sign-off flows through the system.
- Manage the Data Schema reference document, including field definitions, mandatory vs. optional classifications, source hierarchy rules, and controlled vocabularies (Sector, Subsector, Business Model, Geography).
- Coordinate with Crystal / deal teams on the Deal Team structured data entry mechanism and unstructured input formats.
- Validate prototype outputs against real deal team models for accuracy and auditability.
- Define configurable parameters (tolerance thresholds, recency windows, EBITDA margin thresholds) and document their rationale.
Required Skills
- Deep domain knowledge of PE valuations, trading comps, precedent transactions, EV bridges, and multiple selection.
- Experience writing structured requirements and acceptance criteria for data-intensive financial tools.
- Familiarity with IFRS fair value measurement and audit-readiness requirements.
- Stakeholder management across deal teams, valuation groups, and engineering.
- Data modelling and schema design (JSON output structures, rolling records).
- UAT coordination and test case design for financial accuracy validation.