Note: The job is a remote job and is open to candidates in USA. Access | Information Management is seeking a Senior Data Analyst to build trusted Finance data products and expand self-service analytics across FP&A. The role develops and operationalizes data models, transformations, pipelines, dashboards, and advanced analytical solutions while partnering with Finance and Shared Data Services teams.
Responsibilities
- Build, enhance, and maintain Finance tables, views, transformations, pipelines, and analytical models within established enterprise architecture, security, development, and governance standards
- Develop reusable data products supporting bookings, customers, billing, revenue, operational activity, and portfolio performance
- Use SQL and Python to automate data preparation, validation, and analytical workflows, and convert repeatable analyses into scalable assets
- Apply appropriate source control, testing, deployment, monitoring, and documentation practices to Finance data products
- Translate FP&A and Portfolio Analytics needs into clear source requirements, data grain, business rules, transformation logic, quality controls, and acceptance criteria
- Own Finance requirements, prioritization, validation, and acceptance for data products delivered in partnership with onshore and offshore Shared Data Services teams
- Reconcile outputs to source systems, financial reporting, operational reporting, and approved methodologies; identify and resolve data quality issues, logic gaps, hierarchy problems, and incomplete coverage
- Maintain documentation for metric definitions, data lineage, business rules, assumptions, and known limitations, and coordinate issue resolution through Finance sign-off
- Use SQL, Python, and appropriate analytical methods to solve complex customer, revenue, pricing, forecasting, portfolio, and operational questions
- Build semantic models, dashboards, and analytical tools using Power BI or a comparable enterprise business intelligence platform
- Enable FP&A users to independently answer recurring business questions with trusted data, reducing manual extracts, spreadsheet-based preparation, and one-off reporting
- Use approved AI-assisted development tools to improve coding, testing, documentation, and analytical productivity while validating outputs and protecting confidential data
Skills
- * Bachelor's degree in a technical, quantitative, analytical, Finance, or business discipline; equivalent relevant professional experience may be considered
- * Five or more years of relevant experience in data analytics, analytics engineering, data engineering, business intelligence, or a related field
- * Demonstrated experience independently delivering complex data and analytical solutions. Finance, FP&A, commercial analytics, or executive reporting experience is helpful but not required
- * Advanced SQL and strong dimensional and analytical data-modeling skills
- * Proficiency in Python for data processing, automation, and advanced analytics
- * Experience developing or supporting ETL/ELT pipelines and reusable analytical datasets
- * Hands-on experience with a modern cloud data warehouse or lakehouse environment
- * Experience with data reconciliation, quality assurance, troubleshooting, and documentation
- * Experience developing semantic models, dashboards, or business intelligence solutions
- * Ability to translate ambiguous business requirements into scalable analytical and technical solutions
- * Familiarity with source control, testing, deployment, and production support practices
- * Strong technical problem-solving skills and the ability to execute independently
- * Consultative approach and the ability to communicate effectively with technical and nontechnical stakeholders
- * Strong attention to data accuracy, controls, validation, and methodological consistency
- * Ability to manage multiple priorities, dependencies, and deliverables with clear follow-through
- * Curiosity, sound judgment, and a bias toward action and iterative delivery
- * Ability to learn new technologies, data sources, and business concepts quickly
- * Experience with Microsoft Fabric and Azure data services, including lakehouses, warehouses, notebooks, pipelines, or related analytical workloads
- * Power BI experience, including semantic modeling and DAX
- * Experience with Git, CI/CD, orchestration, monitoring, or production support
- * Experience supporting Finance, FP&A, commercial analytics, or executive reporting
- * Familiarity with forecasting, customer analytics, revenue analytics, or portfolio analytics
- * Experience working with centralized or shared enterprise data teams
Benefits
- Remote work arrangement
Company Overview