Sr Finance Analytics Engineer

Mouser•Mansfield, TX

About The Position

The Sr Finance Analytics Engineer shapes and advances the FP&A operating model by designing scalable, automated workflows that support strategic analysis and decision-making. The role designs and evolves the finance data layer within the enterprise data ecosystem, transforming ERP and operational data into governed, analysis-ready structures. It builds robust pipelines and transformation logic for near real-time financial visibility, and develops automation across enterprise tools to improve efficiency and analytical capacity. The position applies AI-driven capabilities—including predictive insights, anomaly detection, and intelligent variance analysis—to enhance decision support. It also builds self-service analytics frameworks, establishes data models and governance practices, and manages automation tools end to end, including bot governance, monitoring, and troubleshooting. Solutions are expected to be documented, maintainable, and suitable for long-term adoption. The role translates complex financial and operational data into clear, executive-ready insights. Mouser Electronics is a global distributor of semiconductors and electronic components. The company describes competitive pay and benefits, a business-casual dress environment, a state-of-the-art facility, and an experienced management team.

Requirements

Bachelor's degree in Data Analytics, Computer Science, Finance, Accounting, AI & Machine Learning, or a related field.
At least 3 years of experience in analytics engineering, data analysis, or technically focused FP&A.
Strong SQL and Python skills applied to scalable data and analytics solutions.
Experience designing data models in modern cloud data platforms.
Understanding of financial concepts and how they relate to business decision needs.
Demonstrated interest in applying AI/ML to analytics and decision-making.
Experience developing and maintaining data pipelines, workflow orchestration processes, and automated job scheduling using modern data engineering and analytics platforms.
Experience building data models, automated reporting, or analytics solutions in a finance or business context.

Nice To Haves

Experience with Snowflake, which is preferred.
Data, analytics, or cloud certifications, such as Snowflake, Microsoft, or dbt.

Responsibilities

Shape and advance the FP&A operating model through scalable, automated workflows that support strategic analysis and decision-making.
Design and evolve the finance data layer, transforming ERP and operational data into governed, analysis-ready structures.
Build data pipelines and transformation logic that support near real-time financial visibility.
Develop automation solutions using tools such as Python, SQL, Power Automate, and Excel.
Apply AI capabilities in FP&A, including predictive insights, anomaly detection, and intelligent variance analysis.
Build self-service analytics frameworks that enable stakeholders to explore and act on financial data.
Establish data models, standards, and governance practices for long-term consistency and growth.
Implement and manage automation tools end to end, including bot governance, monitoring, and troubleshooting.
Ensure solutions are documented, maintainable, and built for long-term adoption.
Translate complex financial and operational data into executive-ready insights.