Analytics Engineer

FASTENER DISTRIBUTION HOLDINGS LLC.•Irving, TX

About The Position

The Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines and models that transform raw data into trusted, analytics-ready assets for FDH Electronic’s operations. This role owns the accuracy, reliability, and performance of curated datasets across the organization and ensures business teams have access to consistent, governed insights to support critical functions. The Analytics Engineer collaborates closely with analysts and business teams to translate complex business needs into efficient data solutions while driving continuous improvement in data quality, pipeline efficiency, and self-service analytics capabilities. This position serves as a key technical bridge between IT and the business, enabling faster, data-driven decision-making in a high-stakes global aerospace supply chain environment.

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
3+ years of experience in analytics engineering, data modeling, or a similar role, preferably in supply chain, manufacturing, or aerospace industries.
Proven track record working with large-scale datasets in cloud and familiarity with ETL processes
Strong SQL skills and experience with data warehouses
Expertise in BI platforms and semantic modeling, with a focus on enabling user-friendly analytics
Analytical mindset with excellent problem-solving skills, capable of identifying data anomalies and optimizing performance in high-volume environments
Collaborative communicator who can bridge technical and business teams, translating requirements into effective data solutions
Commitment to data governance, quality assurance, and continuous improvement
Adaptability to fast-paced settings, with a proactive approach to innovation in analytics
U.S. Citizen, U.S. Permanent Resident (Green Card holder) or asylee/refugee status as defined by 8 U.S.C. 1324b(a)(3) required.
ITAR Requirement
120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Responsibilities

Build scalable, modular data models to support advanced analytics, reporting, and forecasting across the aerospace supply chain
Transform raw data into clean, reliable, analytics-ready tables that enable real-time visibility into component availability, traceability, and production status
Develop and maintain robust SQL pipelines for curated, business-ready datasets, incorporating incremental processing and error-handling logic to ensure consistent data freshness and minimal downtime
Integrate and harmonize data to deliver accurate, unified reporting on key performance indicators
Define and document reusable business metrics, KPIs, and semantic models within BI tools (Power BI), ensuring consistency and governance across all self-service reporting and dashboards
Enable secure, governed self-service analytics capabilities for business, allowing them to explore performance data independently while maintaining strict data security, access controls, and compliance with aerospace industry standards
Implement comprehensive validation frameworks, automated testing suites, and real-time anomaly detection mechanisms to monitor data pipelines and proactively surface potential quality issues
Proactively identify, investigate, and resolve data integrity problems to uphold traceability requirements and regulatory compliance
Improve overall pipeline efficiency, reduce processing costs, and enhance scalability to support growing data usage
Tune complex data models, SQL queries, and transformation logic to handle increasing data volumes and velocity driven by business growth
Partner closely with analysts and business teams to gather and refine requirements for data products