Payments Planning and Analysis Developer Associate

Job Summary:

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:

• Bachelors or Masters 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).