FP&A

FP&A Engineer Jobs

2 jobs found

10d ago

Senior Finance Data Engineer / Data Analyst

Stellantis Auburn Hills, MI

Auburn Hills, MI

10d ago

Full time Analyst Analytics Business Analytics

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Job Description

Stellantis, based in Auburn Hills, Michigan, is seeking a Senior Finance Data Engineer / Data Analyst to strengthen FP&A capabilities with Power BI–based reporting and analytics. The role centers on building scalable data models and managing the full data lifecycle from raw sources through semantic presentation, with a focus on data accuracy, performance, and secure access for financial users. This onsite position supports critical planning and analysis initiatives in a fast-paced environment.

Responsibilities

Oversee the end-to-end Power BI data lifecycle, from data extraction and transformation (Bronze and Silver layers) to semantic modeling and dashboard development (Gold layer).
Maintain data accuracy, performance, and security across all FP&A reporting tools.
Administer user access and implement role-level security within Power BI Service.

Requirements

Advanced proficiency in Power BI, Power Query, and DAX.
Experience integrating data from multiple sources such as Excel, CSV, and ERP systems like SAP or OneStream.
Ability to clean, transform, and standardize data into analytics-ready models.
Experience deploying and maintaining dashboards in Power BI Service.
Foundational understanding of financial reporting structures including P&L, revenue, cost, and variance analysis.
Strong analytical mindset with focus on data accuracy, consistency, and performance optimization.
Bachelor’s degree in Data Analytics, Computer Science, Financial Technology or related field.
Minimum of 5 years of extensive experience with Power BI.
Minimum of 8 years of overall relevant work experience.
Ability to thrive in a fast-paced, dynamic work environment.

Technologies

Power BI
Power Query
DAX
Excel
CSV
SAP
OneStream
Power BI Service

Preferred Qualifications

Power BI certification or similar credentials
Experience with ETL tools or scripting languages (SQL, Python) for advanced data transformation
Experience with OneStream, SAP or Oracle tools

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1mo ago

Senior Analytics Engineer, Finance

Harvey New York, NY

New York, NY

1mo ago Closed

$155k - $235k/yr Full time Senior Analytics Business Analytics

This position is no longer accepting applications (closed Jul 2, 2026).

Job Description

Harvey is seeking a Senior Analytics Engineer in Finance to build the financial data backbone, develop scalable pipelines, and design semantic models that empower company-wide analytics and informed decision-making. This hybrid role, based in New York, NY, partners with Finance, Product, and leadership to standardize metrics and deliver clear financial insights that drive strategic outcomes.

Responsibilities

Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide financial analytics and decision-making.
Define and implement a robust semantic layer (such as LookML/Omni/Other) that standardizes financial and operating metrics, including revenue, retention, customer growth, usage, margin, and forecast inputs.
Partner cross-functionally with Product, Finance, and the Executive Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics like ARR and NRR.
Establish and champion data modeling standards and best practices, guiding the organization on accuracy, performance, usability, and long-term maintainability.
Lead data governance initiatives, ensuring high standards of data quality, consistency, documentation, and access control across the analytics ecosystem.
Structure financial metric definitions, business logic, and accounting context to support AI-assisted reporting, natural language analytics, and automated anomaly detection.

Requirements

5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or a related field.
Deep expertise in SQL, dbt, Python, and Snowflake.
Experience with modern BI tools such as Looker/Omni or similar platforms.
Proven ability to define core financial and operating metrics, extract insights, and resolve data inconsistencies across complex systems.
Strong familiarity with version control (GitHub), CI/CD, and contemporary development workflows.
Bias for action, prioritizing the rapid launch of usable, iterative data models that deliver value over perfection.
Strong communicator capable of building trusted partnerships with Finance, GTM, Product, and Executive stakeholders.
Comfort navigating ambiguity in fast-moving, cross-functional environments.
Balance between big-picture thinking and precise execution, knowing when to delve into details and when to move quickly.
Experience modeling financial, billing, subscription, CRM, or usage-based revenue data.
Solid understanding of business metrics such as ARR, MRR, churn, retention, expansion, bookings, billings, and revenue recognition.

Technologies

dbt
SQL
Python
Snowflake
LookML
Omni
Looker
GitHub

Benefits

Eligible to participate in equity plan
Comprehensive health, dental and vision coverage
401k match up to 4%
Flexible PTO

Bonus

Early employee at a hyper-growth startup
Experience with or knowledge of AI and LLMs
Data engineering experience
Experience managing a data warehouse (preferably Snowflake)
Experience at world-class enterprise organizations (e.g., Brex, Ramp, Stripe, Palantir)

Compensation

$155,000 - $235,000 USD annually

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FP&A Engineer Jobs

Senior Finance Data Engineer / Data Analyst

Senior Analytics Engineer, Finance

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