Job responsibilities
Build and deploy end-to-end automation for financial planning and analysis processes, including data preparation, validation, reconciliations, key performance indicator production, and scheduled runs, using Python, SQL, and Databricks
Deliver Sigma dashboards to consolidate and rationalize recurring reports into a smaller set of standardized, governed self-service views
Set automation standards, mentor other developers, and partner with senior finance and product leaders to deliver measurable business outcomes
Develop and maintain finance-ready data models, including actuals, projections and forecast, and headcount and expense drivers, with clear metric definitions and drill paths
Partner with stakeholders to define requirements, success metrics, and adoption plans, and convert ambiguous questions into deliverable backlogs and prototypes
Implement data quality and controls, including reconciliation checks, completeness rules, threshold alerts, and documentation to support auditability and consistent outcomes
Support migration and modernization efforts by reducing reliance on manual workflows and fragmented tooling, including streamlining or re-platforming legacy workflows where applicable
Perform user acceptance testing planning and support, production validation, release notes, and stakeholder training and documentation to drive sustained adoption
Communicate progress and outcomes clearly to senior stakeholders, including what changed, impact, risks and controls, and next steps
Apply analytics techniques for anomaly detection, variance driver analysis, and forecast input validation, leveraging approved tooling and governed datasets
Required qualifications, capabilities, and skills
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative discipline
10+ years of experience in automation, business intelligence development, and data analytics
Advanced Python and SQL skills, including data transformation, automation, performance tuning, and robust error handling
Hands-on experience delivering solutions with Databricks
Experience building business intelligence dashboards with strong user experience and governance (Sigma preferred; Tableau or Qlik acceptable)
Experience with HTML and React dashboards
Ability to use AI tools for automation
Ability to translate financial planning and analysis and business problems into repeatable automated workflows with measurable efficiency gains
Strong stakeholder management and communication skills, including ability to explain logic, assumptions, and controls
Preferred qualifications, capabilities, and skills
Experience rationalizing report inventories, including consolidation, standard definitions, and adoption tracking
Familiarity with data governance concepts, including access controls, sensitivity handling, metric definitions, and lineage and runbooks
Experience migrating legacy automation tooling into Python and Databricks, where relevant
Certifications in relevant tools (optional; not required)
