Analyst - High Value Data Team at StepStone Group in La Jolla, CA

Summary: 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. 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 Required Qualifications: - 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 Qualifications: - 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 Required Skills: Master Data Management, SQL, Data Analysis Important Skills: Data Engineering, ETL/ELT Processes, Data Modeling Nice-to-Have Skills: Analytical Mindset, Python, Microsoft Excel