Financial Systems & Analytics Analyst

Essential Duties and Responsibilities:

Kinetik is building a new Financial Systems & Analytics function within Finance, and this is the first hire into it. This is a builder’s role inside a finance team, not an IT role adjacent to one. The Analyst designs, builds, and maintains custom workflows, automations, and dashboards across FP&A, Accounting, and Planning, working directly with the Vice President of Finance & Business Transformation and Treasurer and using modern, LLM-assisted development tools (Python, SQL). Success in this role requires understanding the finance and accounting logic behind what you build, not just writing code, and owning that code through its full life: documented, version-controlled, validated, and maintained. This position carries an unusual degree of responsibility and executive visibility for an early-career role at a public company with an enterprise value of approximately $12 billion. The ideal candidate is highly self-motivated, has a strong work ethic and an eagerness to learn, and wants to create value within a collaborative team environment.

• Design, build, and maintain custom workflows, automations, and dashboards for FP&A, Planning, and other Finance functions
• Extract, clean, validate, and structure company data from source systems
• Translate finance-team needs into working tools by understanding the underlying calculation logic, not just the surface request
• Build reporting accurate enough to inform executive decision-making, validating outputs against source systems
• Follow and help establish engineering standards (version control, documentation, testing, and data validation) within the Company’s approved AI and data governance framework
• Maintain and improve tools over time as needs evolve
• Support ad hoc analysis and projects as needed

Education and/or Work Experience Requirements: 

• Recent undergraduate to 1-2 years of experience
• Bachelor’s degree in Management Information Systems, Statistics, Business Analytics, Finance, Computer Science, or a related quantitative field (or equivalent demonstrated capability)
• Demonstrated ability to build in Python and SQL. Candidates will be asked to walk through something they have built
• Working knowledge of core finance and accounting concepts (financial statements, budgeting/forecasting) through coursework, internship, or equivalent
• Hands-on experience building with LLM tools. Formal coursework is a plus, but evidence of real use matters more
• Strong Excel fluency
• Rigorous attention to detail and an unwillingness to ship unvalidated output
• Eagerness to learn and create value within an organization
• Preferred: experience with BI/dashboarding tools (Power BI, Tableau, or similar); familiarity with version control or basic software documentation practices; internship or project experience in finance, analytics, or business intelligence; and an interest in the energy industry

Working Conditions:

• Will be working in an office environment with prolonged periods of sitting and working on a computer.
• Occasional driving may be needed to travel to Kinetik plants and worksites as needed
• Will work outdoors in adverse or extreme weather conditions.
• Available outside of normal working hours as needed for business necessity.

Physical Requirements: 

• Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards. 
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state and local standards 
• Ability to work effectively in all working conditions noted above.
• Will require lifting, carrying, pushing, and pulling up to 15 lbs. in a safe manner on a consistent basis

Kinetik is an equal employment opportunity employer and does not discriminate against qualified applicants on the basis of actual or perceived race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law.