We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world’s investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed.
Position Overview:
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.
Essential Job Functions:
- 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.
- 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.
- 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.
Salary: 30 / hour
#LI-Hybrid
At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all.
As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law.
Candidates must be at least 18 years old to apply.
Developing People at StepStone
Skills Required
- Bachelor's degree in Computer Science, Information Systems, Economics, Finance, or related field
- 0-2 years of experience or relevant coursework in data analysis, data stewardship, or operations
- Foundational SQL skills with ability to perform basic data profiling and querying
- Basic understanding of data modeling, data integration, or ETL/ELT concepts
- Strong interest in private markets and financial data
- Analytical mindset with strong attention to detail
- Excellent communication skills and ability to collaborate with technical and business stakeholders
- Experience with Snowflake
- Prior internship or coursework in data governance or data stewardship
- Familiarity with data quality monitoring concepts and exposure to financial or investment data domains
- Eagerness to learn MDM platforms, data engineering tools, and metadata management
StepStone Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about StepStone Group and has not been reviewed or approved by StepStone Group.
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Healthcare Strength — Health coverage is described as generous with multiple plan options, and in some cases employee‑only premiums are fully paid. Feedback suggests wellness resources and plan choice enhance the overall value of the package.
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Retirement Support — Retirement offerings include a 401(k) program that is viewed favorably. Feedback suggests long‑term incentive elements complement core retirement benefits.
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Parental & Family Support — Parental support includes leave coaching, paid parental leave, and resources for new parents alongside related travel and logistical supports. Feedback suggests these policies are a meaningful part of the benefits package.
StepStone Group Insights
What We Do
StepStone Group (Nasdaq: STEP) is a global private markets investment firm focused on providing customized investment solutions and advisory and data services to our clients. StepStone’s clients include some of the world’s largest public and private defined benefit and defined contribution pension funds, sovereign wealth funds and insurance companies, as well as prominent endowments, foundations, family offices and private wealth clients, which include high-net-worth and mass affluent individuals.StepStone partners with its clients to develop and build private markets portfolios designed to meet their specific objectives across the private equity, infrastructure, private debt and real estate asset classes.
