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Senior Business Analyst/Product Owner

VBEST Software IncBoston, MA🇺🇸United StatesPosted 1 Sept 2026

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

Seniority
Mid Senior
Work mode
On Site
Location
Boston, MA, United States
Posted
19 hours ago
Agile

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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