Why This Role Stands Out
This role offers a fantastic opportunity to drive critical data transformation initiatives within the investment domain, leveraging modern data platforms and developing your expertise in a reputable firm. You'll thrive here if you possess strong analytical skills and a deep understanding of financial services data, making this an excellent step in your career progression. Apply today to contribute to impactful projects and grow within a dynamic environment.
Quick Overview
Job Description
Senior Business Analyst/Product Owner
Data Transformation (Investment Domain)
Location : Boston, MA or Arlington, VA or Florham Park, NJ (3 Days Onsite)
Full Time
Required Skills and Experience
Strong understanding of investment management domain concepts, including:
- Public markets (equities, fixed income)
- Private investments (PE, VC, real assets)
- Portfolio structures, holdings, transactions, benchmarks
- Performance and attribution concepts
Other experiences:
- Proven experience in data transformation or data migration programs within financial services or asset management.
- Hands-on experience in creating source-to-target mappings and functional specifications for data pipelines
- Strong SQL skills for data analysis, including joins, aggregations, window functions, and data validation queries.
- Experience working with modern data platforms such as Snowflake, Databricks, or similar cloud-based ecosystems.
- Familiarity with data warehousing concepts, dimensional modeling, and data lake architectures
- Strong analytical thinking and ability to interpret complex datasets and business rules.
- Experience working in Agile delivery environments
Preferred Qualifications:
- Exposure to tools/platforms commonly used in investment data ecosystems (e.g., Bloomberg, FactSet, Aladdin, Burgiss, or similar).
- Understanding of data governance frameworks, including data quality, lineage, and stewardship.
- Experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow).
- Basic understanding of Python/PySpark for data analysis is a plus.
- Prior experience in working with consulting firms or investment advisors is highly desirable.
Key Competencies
- Strong communication skills with the ability to interact with both business and technical teams.
- Attention to detail, especially in data mapping and validation activities.
- Problem-solving mindset with the ability to identify data issues and propose solutions.
- Ability to manage multiple priorities in a fast-paced transformation environment.
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