Senior Finance Analytics Engineer

Mouser Electronics

. Shape and advance the FP&A operating model through scalable, automated workflows .

Posted 10/6/2026full-timeMansfield • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing scalable, automated workflows and data pipelines for financial analysis, utilizing Python and SQL. Proficient in building self-service analytics frameworks and applying AI-driven capabilities to enhance decision-making in finance.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline DevelopmentFinancial Data AnalysisAI/ML Application

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAutomated ReportingWorkflow OrchestrationData TransformationAnalytics EngineeringPredictive InsightsAnomaly DetectionVariance AnalysisGovernance PracticesData Layer Design

Tools & Technologies

Power AutomateExcelSnowflakeCloud Data PlatformsAutomation Tools

Certifications & Qualifications

Snowflake CertificationMicrosoft CertificationDbt Certification

Industry Keywords

FP&AData AnalyticsFinancial ConceptsBusiness Decision MakingITAR Compliance

Tech Stack

Tools & technologies

CloudERPPythonSQL

About the role

Key responsibilities & impact

Shape and advance the FP&A operating model through scalable, automated workflows
Design and evolve the finance data layer by transforming ERP and operational data into governed, analysis-ready structures
Build data pipelines and transformation logic for near real-time financial visibility
Develop automation solutions using Python, SQL, Power Automate, Excel, and related tools
Apply AI-driven capabilities including predictive insights, anomaly detection, and intelligent variance analysis
Build self-service analytics frameworks for independent stakeholder use
Establish data models, standards, and governance practices
Implement and manage automation tools end to end, including bot governance, monitoring, and troubleshooting
Document solutions and ensure maintainability and long-term adoption
Translate complex financial and operational data into executive-ready insights
Partner with finance leadership to support strategic, data-driven decision-making

Requirements

What you’ll need

Bachelor's degree in Data Analytics, Computer Science, Finance, Accounting, AI & Machine Learning, or a related field
3+ years of experience in analytics engineering, data analysis, or technically focused FP&A
Prior experience developing and maintaining data pipelines, workflow orchestration processes, and automated job scheduling using modern data engineering and analytics platforms
Prior experience building data models, automated reporting, or analytics solutions in a finance or business context
Strong SQL and Python applied to scalable data and analytics solutions
Experience designing data models in modern cloud data platforms; Snowflake preferred
Understanding of financial concepts to align data solutions with business decision needs
Demonstrated interest in applying AI/ML to enhance analytics and decision-making
Data, analytics, or cloud certifications a plus, such as Snowflake, Microsoft, or dbt
All applicants must be at least 18 years of age
Some positions may require U.S. person status under ITAR; this requirement applies only where specified

Benefits

Comp & perks

Competitive pay and benefits
Business casual dress environment
State-of-the-art facility
Experienced management team with vision and a passion for growth