Job SummaryThe 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 needsBuild and maintain Power BI dashboards and reporting solutions using advanced DAX and SQLIdentify and resolve data fragmentation, driving toward a consistent and reliable source of truthDevelop and support data pipelines or structured data transformations to improve accessibility and consistency of dataPartner with stakeholders across Business Operations, Product Management, Engineering, Finance, and IT to define technical requirements and deliver solutionsAct as a technical liaison between business teams and IT, ensuring alignment on system design, data architecture, and integrationIdentify and implement opportunities to automate workflows and reduce manual processes using Python, Power Automate, or system-based solutionsLeverage AI-enabled tools and workflows to accelerate data analysis, solution development, and process improvementTranslate data outputs into clear insights and recommendations that support business decision makingDevelop an understanding of how the business operates across pricing, operations, and financial performanceEngage with cross-functional teams to understand underlying business logic, assumptions, and decision driversTechnical ExpectationsThis 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 measuresSolid understanding of relational data models, data structures, and system integrationsExperience building or supporting data pipelines, ETL processes, or structured data workflowsWorking knowledge of Python, Power Automate, or similar tools for automation and data processingFamiliarity with applying AI tools to enhance productivity and solution developmentKey Success TraitsStrong technical problem solver who can translate business needs and operational context into data and system solutionsHigh ownership mindset; able to independently drive solutions from concept through implementationAbility to operate effectively across business and technical domainsCuriosity and learning mindset with interest in understanding how the business operates, including operational and financial driversAbility to connect data, process, and business impactCuriosity and adaptability to apply AI and emerging technologiesDetail-oriented with focus on data integrity, consistency, and scalabilityQualificationsBachelor’s degree in Data Analytics, Information Systems, Engineering, Computer Science, or related field3–6+ years of experience in data analytics, business systems, or data engineering-adjacent rolesDemonstrated experience building data models, BI solutions, or automated workflowsExperience working with ERP/CRM systems and understanding data flowsBackground in manufacturing, industrial, or operations-driven environments preferredMeasures of SuccessEstablishment of reliable, scalable data sources and modelsReduction of data inconsistencies and fragmentationIncreased adoption and effectiveness of BI toolsReduction in manual processes through automationImproved visibility into operational and financial performanceJob SummaryRequisition Number: BUSIN009285Job Category: IT - Business AnalystsSchedule: Full-Time
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