Senior Data Business Analyst

Talan

2d•Remote

About The Position

Talan is seeking a Senior Data Business Analyst with 5+ years of experience to join a strategic initiative focused on improving data integration and expanding data feeds into a central data platform for reporting and analytics. This role involves close collaboration with internal stakeholders, solution architects, information security teams, and third-party providers to define requirements, ensure data quality, support testing, and deliver high-quality data solutions.

Requirements

5-6+ years of experience as a Business Analyst, preferably within data-focused projects.
Strong experience gathering and documenting business, functional, and data requirements.
Solid understanding of data extraction, reconciliation, and validation processes.
Experience working on data integration, data warehouse, data platform, or reporting initiatives.
Ability to collaborate effectively with technical teams, business stakeholders, and external vendors.
Experience supporting testing activities, defect management, and issue resolution.
Strong documentation skills, including data dictionaries, process documentation, and requirements specifications.
Excellent analytical, problem-solving, and communication skills.

Nice To Haves

Experience working on data warehouse or enterprise data platform projects.
Knowledge of data governance, data quality, and information security principles.
Experience supporting reporting and analytics environments.
Familiarity with complex, large-scale data transformation initiatives.

Responsibilities

Gather, analyze, and document business and data requirements for new and enhanced data feeds.
Support the definition of data extraction, transformation, and reconciliation requirements.
Collaborate with Solution Architecture and Information Security teams to ensure solutions align with established standards and governance requirements.
Work closely with third-party vendors and internal teams throughout the delivery lifecycle.
Support the investigation and resolution of issues, defects, and queries identified during testing phases.
Partner with business SMEs to validate that delivered data meets reporting, analytics, and operational requirements.
Assist with comparison testing and dual-running activities between existing and new data solutions.
Maintain data dictionaries, business glossaries, and related documentation to ensure accuracy and consistency.
Contribute to data quality assurance and reconciliation processes.
Facilitate communication between technical and non-technical stakeholders to ensure alignment across all project phases.