Financial Data Analyst

Job Description

Job Description

We are looking for a Business Analytics/Data Analyst to join a long-term contract opportunity in Dallas, Texas within the energy and natural resources sector. This position will focus on preparing, organizing, and validating critical business data to support a large-scale enterprise implementation, while partnering with both business and technical teams to maintain accuracy and consistency. The ideal candidate brings strong analytical ability, hands-on data migration experience, and the communication skills needed to guide data-related activities from planning through execution.

Responsibilities:
• Examine legacy data sources to identify migration needs, data dependencies, and conversion priorities for the new enterprise platform.
• Prepare data for migration by performing cleansing, standardization, mapping, and transformation activities to improve quality and usability.
• Coordinate extraction, load, and reconciliation efforts to confirm that converted data is complete, accurate, and aligned with business expectations.
• Work closely with stakeholders, IT teams, and external implementation partners to investigate discrepancies and resolve data-related issues efficiently.
• Assist with test cycles, trial conversions, and cutover readiness activities to support a smooth transition into production.
• Create and maintain clear documentation for migration logic, validation rules, workflows, and internal controls.
• Monitor data quality throughout the project lifecycle and help uphold governance, integrity, and compliance standards.
• Use analytical and reporting tools to evaluate migration results, identify trends, and provide actionable insights to project teams.• 5+ years of experience in data analysis, data migration, or related financial and business analytics roles.
• Demonstrated experience supporting enterprise system implementations with a strong focus on data conversion activities.
• Proficiency in Microsoft SQL for querying, analyzing, and validating large datasets.
• Hands-on experience with data mapping, data cleansing, and data validation methodologies.
• Familiarity with BusinessObjects Technologies, business intelligence reporting, and data analysis practices.
• Working knowledge of Erwin Data or similar data modeling and metadata management tools.
• Ability to collaborate effectively with cross-functional business and technical teams.
• Strong problem-solving, documentation, and communication skills in a fast-paced project environment.