The Business Systems Analyst – Data Engineering & Operations is responsible for designing and delivering data-driven solutions that improve operational efficiency, reporting accuracy, and business performance across the Energy business.
This role is heavily focused on building and structuring data, developing business intelligence solutions, and enabling a scalable foundation for decision making. Operating at the intersection of Business Operations and IT, this position requires strong technical capability alongside the ability to translate business needs—including operational and financial performance drivers—into structured, system-driven solutions. The role owns initiatives end-to-end—from identifying data and process gaps through development and implementation of solutions—and is expected to be hands-on in developing data and reporting solutions, not solely defining requirements. Over time, this role will develop a strong understanding of how the business operates, enabling more effective solution design and contribution to business decision-making.
Key Responsibilities- Design and develop well-structured, scalable data models designed for reusability and performance to support business intelligence and reporting needs
- Build and maintain Power BI dashboards and reporting solutions using advanced DAX and SQL
- Identify and resolve data fragmentation, driving toward a consistent and reliable source of truth
- Develop and support data pipelines or structured data transformations to improve accessibility and consistency of data
- Partner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutions
- Act as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integration
- Identify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutions
- Leverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvement
- Translate data outputs into clear insights and recommendations that support business decision making
- Develop an understanding of how the business operates across pricing, operations, and financial performance
- Engage with cross-functional teams to understand underlying business logic, assumptions, and decision drivers
This role requires hands-on development experience in SQL and Power BI (DAX). Candidates without direct experience building data models and dashboards will not be considered.
- Strong proficiency in SQL (complex queries, joins, data transformation, and dataset structuring)
- Advanced experience with Power BI, including data modeling and writing complex DAX measures
- Solid understanding of relational data models, data structures, and system integrations
- Experience building or supporting data pipelines, ETL processes, or structured data workflows
- Working knowledge of Python, Power Automate, or similar tools for automation and data processing
- Familiarity with applying AI tools to enhance productivity and solution development
- Strong technical problem solver who can translate business needs and operational context into data and system solutions
- High ownership mindset; able to independently drive solutions from concept through implementation
- Ability to operate effectively across business and technical domains
- Curiosity and learning mindset with interest in understanding how the business operates, including operational and financial drivers
- Ability to connect data, process, and business impact
- Curiosity and adaptability to apply AI and emerging technologies
- Detail-oriented with focus on data integrity, consistency, and scalability
- Bachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field
- 3–6+ years of experience in data analytics, business systems, or data engineering-adjacent roles
- Demonstrated experience building data models, BI solutions, or automated workflows
- Experience working with ERP/CRM systems and understanding data flows
- Background in manufacturing, industrial, or operations-driven environments preferred
- Establishment of reliable, scalable data sources and models
- Reduction of data inconsistencies and fragmentation
- Increased adoption and effectiveness of BI tools
- Reduction in manual processes through automation
- Improved visibility into operational and financial performance
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Skills Required
- Bachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or a related field
- 3-6+ years of experience in data analytics, business systems, or data engineering-adjacent roles
- Hands-on experience building data models and business intelligence solutions
- Direct experience building Power BI dashboards and writing advanced DAX measures
- Strong proficiency in SQL, including complex queries, joins, data transformation, and dataset structuring
- Experience building or supporting data pipelines, ETL processes, or structured data workflows
- Experience developing automated workflows using Python, Power Automate, or similar tools
- Experience working with ERP and CRM systems and understanding data flows
- Familiarity with applying AI tools to data analysis, solution development, or process improvement
- Background in manufacturing, industrial, or operations-driven environments
AFL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AFL and has not been reviewed or approved by AFL.
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Healthcare Strength — Health coverage is described as comprehensive, including medical with HSA options, dental, vision, disability, life/AD&D, wellness resources, and EAP. Carrier options and plan tiers are outlined publicly, and on‑site health resources are available in some locations.
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Retirement Support — A 401(k) with company match is a prominent part of the package, with dollar‑for‑dollar matching and vesting timelines highlighted. The retirement program is repeatedly positioned as a strong component of total compensation.
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Leave & Time Off Breadth — Paid vacation, holidays, and sick time are standard, with some teams operating flexible or unlimited PTO models. This breadth supports work–life balance where such policies are offered.
AFL Insights
What We Do
Founded in 1984, AFL is an international manufacturer providing end-to-end solutions to the energy, service provider, enterprise and industrial markets as well as several emerging markets. Our products are in use in over 130 countries and include fiber optic cable and hardware, transmission and substation accessories, outside plant equipment, connectivity, test and inspection equipment, fusion splicers and training. AFL also offers a wide variety of services supporting data center, enterprise, wireless and outside plant applications. Headquartered in Spartanburg, SC, AFL has operations in the U.S., Mexico, Canada, Europe, Asia and Australia, and is a wholly-owned subsidiary of Fujikura, Ltd. Of Japan.
