Job Description

As a Payments Finance Transformation Automation Developer you accelerate reporting automation and process modernization. You will build production-grade data pipelines, automated FP&A workflows, and standardized dashboards that reduce manual effort, improve data quality, and enable faster decision-making. This role partners closely with P&A leads, Business Managers, Controllers, and Product teams to translate finance requirements into repeatable solutions with strong controls and governance.

Job Responsibilities:

• Build and deploy end-to-end automation for FP&A processes (data preparation, validation, reconciliations, KPI production, 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.
• Develop and maintain finance-ready data models (actuals, projections/forecast, headcount/expense drivers), including clear metric definitions and drill paths.
• Partner with stakeholders to define requirements, success metrics, and adoption plans; convert ambiguous questions into deliverable backlogs and prototypes.
• Implement data quality and controls: reconciliation checks, completeness rules, threshold alerts, and documentation to support auditability and consistent outcomes.
• Support migration/modernization efforts by reducing reliance on manual workflows and fragmented tooling (e.g., streamline or re-platform legacy workflows where applicable).
• Perform UAT planning/support, production validation, release notes, and stakeholder training/documentation to drive sustained adoption.
• Communicate progress and outcomes clearly to senior stakeholders (what changed, impact, risks/controls, 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.

• 4+ years of experience in BI development, data analytics, automation.

• Advanced Python + SQL (data transformation, automation, performance tuning, robust error handling).

• Hands-on experience delivering solutions with Databricks

• Experience building BI dashboards with strong user experience and governance (Sigma, Tableau/Qlik).

• Proven ability to translate FP&A/business problems into repeatable automated workflows with measurable efficiency gains.

• Strong stakeholder management and communication skills; able to explain logic, assumptions, and controls.

Preferred Qualifications, Capabilities, and Skills:

• Experience rationalizing report inventories (consolidation, standard definitions, adoption tracking).

• Familiarity with data governance concepts (access controls, sensitivity handling, metric definitions, lineage/runbooks).

• Experience migrating legacy automation tooling into Python/Databricks (if relevant).

• Certifications in relevant tools (optional; not required).