Analytics Solution-Associate

You are a strategic thinker passionate about driving solutions in Transformation. You have found the right team. Join Payments Finance Transformation to accelerate reporting automation and process modernization. You will build production-grade data pipelines, automated financial planning and analysis workflows, and standardized dashboards that reduce manual effort, improve data quality, and enable faster decision-making. This role partners closely with planning and analysis leads, Business Managers, Controllers, and Product teams to translate finance requirements into repeatable solutions with strong controls and governance. As an [associate within Payments Finance Transformation , you will accelerate reporting automation and process modernization by building production-grade data pipelines and automated workflows. You will deliver standardized dashboards and governed self-service views that reduce manual effort, improve data quality, and enable faster decision-making. You will partner closely with planning and analysis leads, Business Managers, Controllers, and Product teams to translate finance requirements into repeatable solutions with strong controls and governance. You will implement data quality checks, reconciliation controls, and documentation to support auditability and consistent outcomes. You will communicate progress, outcomes, and control considerations clearly to senior stakeholders. 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)