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

Summary: StepStone is a global private markets specialist delivering tailored investment solutions and advisory services. The Data Analyst will support the High Value Data Team in defining and maintaining master data processes, ensuring data quality, and collaborating with internal teams to enhance data accuracy 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 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: SQL, Data Analysis, Master Data Management Important Skills: Data Engineering, Data Modeling, ETL/ELT Processes Nice-to-Have Skills: Analytical Mindset, Python, Microsoft Excel, Data Governance, Financial Data Knowledge, Communication Skills, Time Management