Financial Data Scientist II/III
Listed on 2026-02-13
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IT/Tech
Data Analyst
Williams is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, age, marital status, disability, veteran status, genetic information or any other basis protected under applicable discrimination law.
Do something that means something s isn’t just a job - it’s an opportunity to explore and discover your passion with coworkers who become friends and mentors who push you to be your best self in and out of the office. At Williams, we make clean energy happen. And you can too, so bring your energy to ours!
The Financial Data Scientist III maintains and improves various enterprise performance management and financial reporting systems that enable our users to perform critical financial analysis and statutory reporting. This includes working across the Oracle EPM applications, Oracle Essbase, Dodeca, and Power BI data sets and applications. Data from these systems is eventually relied upon by customers and with respect to Williams, for SEC reporting and analysis, management reporting and analysis, financial planning and forecasting.
Financial Data Scientist III
Partners with end‑users to understand business intent and translate financial and regulatory reporting needs into scalable solutions (e.g., financial statements, SEC, FERC, expense and capital reporting).
Works with adjacent teams to ensure user data requirements are collected and being worked by appropriate technical resources within F&A and IT
Proactively identifies data, hierarchy, and process gaps; recommends and implements improvements with an emphasis on reusability and standardization.
Supports downstream consumers of financial data used for management reporting, planning, forecasting, and statutory reporting.
Provides guidance and informal mentorship to junior team members on best practices, modeling standards, and data governance.
Other duties as assigned.
Education/Years of
Experience:Required:
Bachelor's degree in Accounting/Finance or related business field; a minimum of three (3) years Financial Modeling and Reporting experienceOther Requirements:
Solid understanding of GAAP (Generally Accepted Accounting Principles) and broader financial reporting concepts
Proficiency in Microsoft Office Applications and PC skills
Proficiency with enterprise reporting, analytics, and automation tools such as Oracle Essbase, Planning, Power BI, Power Automate, and RPA technologies.
Ability to organize and manage contribution to multiple project workloads in tandem
Preferred: experience with accounting processes including expense reports, property accounting, and/or project reporting
Preferred Working knowledge of Databricks concepts, including medallion architecture, SQL, and Change Data Capture (CDC).
Financial Data Scientist II
Responsibilities/Expectations:
Performs ongoing maintenance, troubleshooting, and incremental enhancements of Oracle EPM and analytics cloud applications.
Updates hierarchies, business rules, and logic scripts; monitors workflows and resolves operational issues as they arise.
Works directly with end ‑ users to document processes and data needs related to financial statements, SEC and FERC reporting, and expense or capital reporting.
Coordinates with adjacent F&A and IT teams to ensure requests are properly scoped and routed to the appropriate technical resources.
Supports data quality, validation, and reconciliation efforts across reporting and planning solutions.
Other duties as assigned.
Education/Years of
Experience:Required:
Bachelor's degree in Accounting/Finance or related business field and ; a minimum of two (2) years of similar experienceOther Requirements:
Demonstrates excellent organizational/interpersonal skills and safety as the utmost priority
Strong understanding of GAAP
Proficiency in Microsoft Office Applications and PC skills
Strong desire to learn data analytics or data science
Familiarity with reporting and automation tools such as Essbase, Planning, Power BI, Power Automate, and RPA technologies
Pre…
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