Mouser Electronics
Mouser Electronics
1,001 – 5,000 Employees
ConsultingLogisticsMarketing
Mouser Electronics is a global distributor of semiconductors and electronic components, connecting design engineers and purchasing teams with products from more than 1,200 manufacturer brands. Its catalog includes semiconductors, interconnects, passive components, and electromechanical parts, with a focus on making newly released technologies quickly accessible. Local sales and service centers support customers across its worldwide operations.

Senior Finance Analytics Engineer – Mouser Electronics (Hybrid, Mansfield, Texas)

Lead finance analytics engineering for Mouser Electronics by building scalable data, automation, and AI capabilities. Help FP&A teams gain faster, more strategic insight from financial and operational data.

Description

  • Advance the FP&A operating model with scalable, automated workflows
  • Transform ERP and operational data into governed, analysis-ready finance structures
  • Develop data pipelines and transformation logic that support near-real-time financial visibility
  • Create automation solutions with Python, SQL, Power Automate, Excel, and related technologies
  • Use AI capabilities for predictive insights, anomaly detection, and intelligent variance analysis
  • Develop self-service analytics frameworks that enable stakeholders to work independently
  • Define data models, standards, and governance practices for finance analytics
  • Manage automation solutions end to end, including bot governance, monitoring, and troubleshooting
  • Document solutions to support maintainability and sustained adoption
  • Convert complex financial and operational data into insights suitable for executive audiences
  • Collaborate with finance leaders on strategic, data-informed decisions

Requirements

  • Bachelor’s degree in data analytics, computer science, finance, accounting, AI and machine learning, or a related discipline
  • At least 3 years of experience in analytics engineering, data analysis, or technically oriented FP&A
  • Experience developing and maintaining data pipelines, workflow orchestration, and automated job scheduling with modern data engineering or analytics platforms
  • Experience creating data models, automated reporting, or analytics solutions for finance or business operations
  • Advanced SQL and Python skills applied to scalable data and analytics work
  • Experience designing data models on modern cloud data platforms; Snowflake experience is preferred
  • Working knowledge of financial concepts and their role in business-focused data solutions
  • A demonstrated interest in using AI and machine learning to improve analytics and decision-making
  • Data, analytics, or cloud certifications are advantageous, including Snowflake, Microsoft, or dbt credentials
  • Applicants must be at least 18 years old
  • U.S. person status may be required for positions covered by ITAR, where specifically stated

Benefits

  • Competitive compensation and benefits
  • Business-casual workplace environment
  • Modern, state-of-the-art facility
  • Experienced leadership team focused on vision and growth

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