{"id":1299346,"url":"https://alion.io/job/afl-global-business-systems-analyst","title":"Business Systems Analyst","company":{"id":1851112,"name":"AFL","domain":"aflglobal.com","url":"https://alion.io/company/aflglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Duncan, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":138000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":900},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-19T19:45:13Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":38},"description":"Job Summary\nThe 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.\nThis 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.\nKey Responsibilities\nDesign and develop well-structured, scalable data models designed for reusability and performance to support business intelligence and reporting needs\nBuild and maintain Power BI dashboards and reporting solutions using advanced DAX and SQL\nIdentify and resolve data fragmentation, driving toward a consistent and reliable source of truth\nDevelop and support data pipelines or structured data transformations to improve accessibility and consistency of data\nPartner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutions\nAct as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integration\nIdentify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutions\nLeverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvement\nTranslate data outputs into clear insights and recommendations that support business decision making\nDevelop an understanding of how the business operates across pricing, operations, and financial performance\nEngage with cross-functional teams to understand underlying business logic, assumptions, and decision drivers\nTechnical Expectations\nThis 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.\nStrong proficiency in SQL (complex queries, joins, data transformation, and dataset structuring)\nAdvanced experience with Power BI, including data modeling and writing complex DAX measures\nSolid understanding of relational data models, data structures, and system integrations\nExperience building or supporting data pipelines, ETL processes, or structured data workflows\nWorking knowledge of Python, Power Automate, or similar tools for automation and data processing\nFamiliarity with applying AI tools to enhance productivity and solution development\nKey Success Traits\nStrong technical problem solver who can translate business needs and operational context into data and system solutions\nHigh ownership mindset; able to independently drive solutions from concept through implementation\nAbility to operate effectively across business and technical domains\nCuriosity and learning mindset with interest in understanding how the business operates, including operational and financial drivers\nAbility to connect data, process, and business impact\nCuriosity and adaptability to apply AI and emerging technologies\nDetail-oriented with focus on data integrity, consistency, and scalability\nQualifications\nBachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field\n3-6+ years of experience in data analytics, business systems, or data engineering-adjacent roles\nDemonstrated experience building data models, BI solutions, or automated workflows\nExperience working with ERP/CRM systems and understanding data flows\nBackground in manufacturing, industrial, or operations-driven environments preferred\nMeasures of Success\nEstablishment of reliable, scalable data sources and models\nReduction of data inconsistencies and fragmentation\nIncreased adoption and effectiveness of BI tools\nReduction in manual processes through 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