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Data Engineer Intern (Monetization Data) - 2027 Summer
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Current Master's - Data Science Internship - Summer 2027 Key Role Details * This is a full-time ... technologies to unlock opportunities that help everyday people save money and improve their ...
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2027 Internship TMP Tech & NPI
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Internship Data Technology information
What is the difference between Internship Data Technology vs Data Analyst?
| Aspect | Internship Data Technology | Data Analyst |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in IT, Computer Science, or related fields | Bachelor's degree in Data Science, Statistics, or related fields; certifications like SQL, Excel, or Tableau are common |
| Work Environment | Internship setting, often in tech companies or departments, focusing on learning and support tasks | Full-time or part-time roles in various industries, analyzing data to support business decisions |
| Employer & Industry Usage | Used by tech companies, startups, and organizations seeking entry-level support in data projects | Widely used across finance, healthcare, marketing, and other sectors for data-driven insights |
Internship Data Technology roles are entry-level positions focused on learning technical skills in data management and support. Data Analysts, however, are more experienced professionals responsible for analyzing data to inform business strategies. While internships provide foundational exposure, Data Analysts typically require more advanced skills and experience.
Full-time, Temporary
Re-posted 26 days ago
Job description
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.
Our Junior Analyst role is a temporary position that will last for 16-weeks with the possibility to extend or move into a full-time position. This role requires the incumbent to be able to work 40 hours per week.
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
The salary range is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary range does not include any benefits or other forms of possible compensation that may be available to employees.
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