StepStone Group is a global private markets specialist delivering tailored investment solutions and data-driven insights. The Data Analyst will support Master Data Management initiatives, implement data quality checks, and collaborate with various teams to maintain accurate master data within a cloud data warehouse environment focused on private market investments.
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
Qualification
Required
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
Preferred
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
Benefit
StepStone Group provides investors with customized portfolios that integrate primaries, secondaries, and co-investments.
