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Business Analyst – Finance Systems & Forecasting: 26-02199

Job in Culver City, Los Angeles County, California, 90232, USA
Listing for: Akraya, Inc.
Full Time position
Listed on 2026-08-03
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Analyst, IT Business Analyst
Salary/Wage Range or Industry Benchmark: 40 - 42 USD Hourly USD 40.00 42.00 HOUR
Job Description & How to Apply Below

Primary

Skills:

Business Systems Analysis (advanced), FP&A (advanced), Requirements Gathering (advanced), SQL (advanced), Planning Analytics (advanced)

Contract Type: W2

Location:

Culver City, CA ()

Duration: 9 Months

Pay Range: $40 - $42 per hour

#LP

Job Summary

We are seeking a Business Systems Analyst to support the enhancement and onboarding of financial forecasting models into an enterprise planning platform. In this role, you will serve as the primary liaison between Finance stakeholders and the engineering team, translating business requirements into technical specifications, coordinating solution delivery, and ensuring forecasting models are accurately implemented and validated. The ideal candidate has experience working with finance systems, enterprise planning tools, SQL, and business process improvement.

You should be comfortable collaborating with cross-functional teams, documenting complex business logic, performing user acceptance testing (UAT), and driving system enhancements that improve financial planning and reporting.

Key Responsibilities
  • Partner with Finance stakeholders to gather, analyze, and document business and reporting requirements.
  • Translate business requirements into detailed functional and technical specifications for engineering teams.
  • Lead the onboarding of financial forecasting models into an enterprise planning platform.
  • Define data requirements, source data mappings, and business rules for forecasting models.
  • Analyze gaps between existing business processes and system capabilities, recommending scalable solutions.
  • Design and document improved workflows, including wireframes and user experience recommendations for forecast adjustment processes.
  • Collaborate with engineering teams throughout solution design, development, testing, and deployment.
  • Develop and execute User Acceptance Testing (UAT) plans and validate forecasting outputs prior to production deployment.
  • Document business rules, calculation logic, data lineage, and system processes.
  • Investigate data discrepancies by tracing issues across reporting platforms, databases, and planning models.
  • Partner with Data Engineering and Data Science teams to improve platform validation controls and data quality.
  • Manage engineering work requests from intake through completion, ensuring priorities align with business objectives.
  • Maintain project documentation and provide regular status updates to stakeholders.
Required Qualifications
  • Bachelor's degree in Business, Finance, Information Systems, Computer Science, or a related field.
  • 4-6 years of experience as a Business Analyst or Systems Analyst supporting finance systems or enterprise planning solutions.
  • Proven experience translating business requirements into functional and technical specifications.
  • Experience improving business processes and designing efficient workflows.
  • Strong experience coordinating with business stakeholders and technical teams.
  • Hands-on experience planning and executing User Acceptance Testing (UAT).
  • Advanced Microsoft Excel skills, including complex formulas, Pivot Tables, financial modeling, and scenario analysis.
  • Working knowledge of SQL for data validation and analysis.
  • Excellent analytical, documentation, communication, and stakeholder management skills.
Preferred Qualifications
  • Experience with IBM TM1, Planning Analytics, Apliqo, or similar Enterprise Performance Management (EPM) platforms.
  • Familiarity with financial planning and analysis (FP&A), forecasting, budgeting, and variance analysis.
  • Understanding of ETL processes, data warehouses, and dimensional data modeling.
  • Experience working with cloud-based analytics platforms or enterprise reporting solutions.
  • Exposure to media, subscription, streaming, or digital services industries.
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