Business Systems Analyst

Job Summary 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

Technical Expectations 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

Key Success Traits 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…