Job Purpose

The Data Analyst will support Private Markets investment operations by delivering accurate, well‑governed data

solutions leveraging Performance Systems used for fund and portfolio analytics. Working closely with

Investment, Risk, Finance, and Data & Analytics teams, the role translates business requirements into trusted

data definitions, calculation logic, and quality standards to support fund performance, fund administration, and

exposure reporting. The position ensures performance data is reliable, consistent, and decision‑ready.

Key Responsibilities

Leverage hands‑on experience with Performance Systems to support accurate, reliable, and trusted data for

investment, risk, and finance reporting.

Partner with Investment, Risk, and Finance teams to gather and document requirements for Private Market

performance, NAV, and exposure reporting.

Analyze, validate, and reconcile data within Performance Systems, including IRR, MOIC, cash flows,

valuations, and benchmark data.

Partner with Investment, Risk, Finance, and Data & Analytics teams to translate business needs into clear

Data Requirements And Acceptance Criteria.

Define and document data rules, validation checks, quality standards, and completeness thresholds to

establish data reliability.

Perform day‑to‑day analysis, monitoring, and refinement of data to ensure accuracy, consistency, and

alignment with business expectations.

Document data element definitions, business logic, calculations, tolerances, and data transformation rules in

a structured manner.

Identify missing or incomplete data fields, assess business impact, and coordinate remediation with data

owners and technical teams.

Validate data outputs with stakeholders prior to production use, ensuring accuracy and completeness.
Investigate data anomalies using SQL and analytical tools, supporting reconciliations and root cause analysis.
Clearly document and track data issues with severity, impacted datasets, ownership, and resolution status

through closure.

Maintain data dictionaries, lineage documentation, and issue logs to ensure transparency, consistency, and

audit readiness.

Build, maintain, and refine dashboards, metadata, and governance artifacts in Collibra.
Collaborate with data engineering, governance, and operations teams to improve data pipelines, quality

controls, and processes.

Support prioritization of critical data requirements based on usage, risk, and business impact.
Participate in Agile delivery activities including user stories, acceptance criteria definition, sprint planning,

and validation tasks.

Key competencies

Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field
Proven experience working with Performance Systems, supporting data analysis, validation, and reporting

needs.

Strong understanding of private equity and alternative investments, including fund performance metrics,

capital activity, and exposure analysis.

Hands‑on experience with performance platforms supporting fund and portfolio‑level analytics and reporting.
Strong ability to translate business requirements into structured data definitions, rules, and acceptance criteria.
Hands‑on expertise in defining data quality rules, validation checks, and completeness thresholds.
Strong stakeholder management and communication skills, with familiarity in Agile delivery practices and high attention to detail.
Solid understanding of data quality dimensions including accuracy, completeness, consistency, and timeliness.
Strong analytical and problem‑solving skills, with experience diagnosing data issues using SQL and structured analysis.
Ability to clearly document data dictionaries, business logic, calculations, and data transformation rules.
Experience in day‑to‑day data monitoring, refinement, issue tracking, and remediation support.
Hands‑on experience building and maintaining dashboards, metadata, and governance artifacts in Collibra or similar tools.

Senior Associate - Data Analyst Performance System

Associate Data Dictionary Analyst