Junior Analyst - Data & Technology Solutions

StepStone Group•San Diego, CA

14h•$30•Hybrid

About The Position

The Junior Data Analyst will serve as a critical bridge between the Data Engineering team and various business departments across the firm. Acting as a 'data steward' and junior business partner, this role will liaise with a diverse range of stakeholders to bridge business knowledge gaps and support efforts to define, enforce, and maintain unified entity management and data governance strategies.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Economics, Finance, or a related quantitative or qualitative field.
0–2 years of experience or relevant coursework in data analysis, data stewardship, or operations.
Foundational SQL skills with the ability to perform basic data profiling and querying (experience with Snowflake is a plus).
Basic understanding of data modeling, data integration, or ETL/ELT concepts.
Strong interest in private markets, financial data, and bridging the gap between business needs and technology.
Analytical mindset with strong attention to detail.
Excellent communication skills and the ability to collaborate effectively with both technical engineering teams and business stakeholders.

Nice To Haves

Prior internship or coursework experience in data governance or data stewardship is a plus.
Familiarity with data quality monitoring concepts.
Exposure to financial or investment data domains.
Eagerness to learn MDM platforms, data engineering tools, and metadata management.

Responsibilities

Support entity management initiatives by helping to define, model, and maintain master data entities across the firm.
Assist in gathering, cleaning, standardizing, and deduplicating data from internal and external systems to support the creation of trusted “golden records”.
Execute records matching and merging workflows based on established logic and conflict resolution rules.
Act as a junior business partner by collaborating with stakeholders to understand and document domain definitions, business rules, and data lineage.
Implement routine data quality checks and validations to identify anomalies and ensure the accuracy and consistency of firmwide data.
Help create and maintain clear documentation, data definitions, and governance rules for master data assets.
Assist the Data Engineering team in integrating master data processes with broader workflows and Snowflake data models.
Provide general support for other data initiatives, including ad-hoc analysis and data profiling.