Analyst - High Value Data Team

StepStone Group is a global private markets specialist delivering tailored investment solutions and data-driven insights to investors. The Data Analyst will support Master Data Management processes within a cloud data warehouse environment, focusing on creating unified records from various data sources and ensuring data quality and governance.

Responsibilities

• Support MDM initiatives in defining, modelling, and maintaining master data entities
• Contributes to the overall success of SPAR private markets data universe for Asset Level / Portfolio Companies
• Gather, reconcile, clean, standardize, deduplicate, and merge asset data from internal systems and external databases to create trusted 'golden records.'
• Build records matching/merging logic and rules for mastering data (deterministic, fuzzy matching, conflict resolution)
• Collaborate with stakeholders to understand domain definitions, business rules, data lineage, and exceptions
• Work with operational leadership to develop and improve a system of controls and periodic updates to ensure proprietary data systems remain current and accurate
• Implement data quality checks, validations, and anomaly detection to ensure accuracy and consistency of master data
• Create and maintain documentation, definitions, governance rules and metadata for master data assets
• Assist in establishing governance, stewardship, and versioning processes
• Integrate master data processes with broader extract, load and transform (ELT) workflows and Snowflake data models

Skills

• Bachelor's degree in Computer Science, Information Systems, Economics, Finance, or related quantitative or qualitative field
• Hands on experience with public or private markets data systems / data sets
• Awareness of private markets and experience working within private markets industry
• Ability to work in teams including excellent communication skills, time management, and ability to work with internal clients to develop process for constant improvement
• 1–3 years of experience or relevant coursework in data analysis, data engineering, or MDM-related roles
• Strong SQL skills for data profiling, transformation, and potentially reconciliation in Snowflake
• Understanding of data mastering, data modeling, ETL/ELT processes, and data integration concepts
• Interest in private markets or financial data
• Analytical mindset with attention to detail and the ability to manage complex, evolving data
• Strong communication skills to collaborate with technical teams and business stakeholders
• Prior experience in MDM, data governance, or data stewardship is a plus
• Significant experience with Microsoft Excel including experience designing matching/merging logic, fuzzy joins, or reconciliation workflows
• Experience with python and programming a bonus
• Familiarity with metadata management, version control, and data catalog tools
• Exposure to financial or investment data domains
• Familiarity with Python or similar scripting for automation is a plus

Company Overview

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