Build and deploy automation for financial planning and analysis processes using Python, SQL, and Databricks
Deliver Sigma dashboards that consolidate recurring reports into standardized, governed self-service views
Develop and maintain finance-ready data models with clear metric definitions and drill paths
Implement data quality checks, reconciliation controls, and audit documentation
Set automation standards and mentor other developers
From the employer’s posting
Build and deploy end-to-end automation for financial planning and analysis processes
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, including actuals, projections and forecast, and headcount and expense drivers, with clear metric definitions and drill paths
Implement data quality and controls, including reconciliation checks, completeness rules, threshold alerts, and documentation to support auditability and consistent outcomes
Set automation standards, mentor other developers, and partner with senior finance and product leaders to deliver measurable business outcomes
Experience building Sigma dashboards or governed self-service views
Qualification wording
using Python, SQL, and Databricks
Deliver Sigma dashboards to consolidate and rationalize recurring reports
Education & alternatives
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
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Databricks
Sigma
Tableau
Where the posting names them
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
- 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
- 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)
- 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)
- 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
- 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
About 318,512 in 2025.Annual report (SEC Form 10-K)
Company
Listed as JPM.
Layoff notices
Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
August 17Last week
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Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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)