Business Intelligence Analyst II

Summit Utilities

Join our Growing Team and see why Summit Utilities, Inc was named as one of the Fastest Growing Denver Area Private Companies 2019 and 2020;
Best Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri 2023. Summit was also recently named one of Forbes 2023 America’s Best Small Employers. Summit is a growing natural gas utility providing safe, reliable, and clean burning natural gas service to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas.

Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.

We have an exciting hybrid opportunity open for a Business Intelligence Analyst II based in our office in Fort Smith, AR, Fayetteville, AR, Little Rock, AR, Branson, MO, Lawton, OK or Portland, ME.

POSITION SUMMARY

The Business Intelligence Analyst II is a mid-level, high-impact contributor accountable for converting business questions into actionable insights that accelerate operational excellence and strategic decision-making. This role sits at the intersection of data, process, and performance—driving clarity, enabling leaders to “see the business,” and elevating our maturity across analytics. This individual is expected to navigate ambiguity, pressure-test requirements, and deliver dashboards and analyses that business leaders can run their operations on with confidence.

Insight

Delivery & Dashboard Development

Lead the design, build, and enhancement of dashboards, scorecards, and reports that anchor our enterprise KPI framework. Translate business problems into analytical questions and solution designs using strong business acumen and BI best practices. Build visualizations that adhere to corporate standards, leverage semantic models, and position leaders to take swift, informed action.

Requirements Gathering & Business Engagement

Facilitate structured discovery sessions to extract true business needs, challenge assumptions, and shape clear requirements. Interpret business processes, system flows, and pain points to define KPIs, metrics, thresholds, and data definitions. Provide coaching to the business on leading vs. lagging indicators and dashboard consumption best practices.

Analytics & Data Exploration

Perform analysis on complex datasets to identify trends, anomalies, risks, and improvement opportunities. Leverage exploratory techniques to answer ad‑hoc questions, validate hypotheses, and guide decision‑making. Stress‑test data quality, completeness, and lineage issues and escalate effectively.

Cross‑functional Collaboration

Partner with the Data Engineering & Architecture team to ensure pipelines and models meet business logic and analytic use case needs. Validate the accuracy of semantic models, KPIs, and business rules and help mature certified data products. Partner with Operations, Finance, Customer Experience, Regulatory, IT, and other business units to ensure analytics meet strategic needs. Communicate complex data and insights to leadership in a clear and actionable way.

Self‑Service

Enablement & Adoption

Support training and user enablement efforts that build data literacy across the organization. Provide support for self‑service users, ensuring they are aligned with BI standards and KPI definitions. Drive adoption of BI tools, dashboards, and the Analytics Center of Excellence framework.

Continuous Improvement & Governance

Adhere to BI governance processes including metadata documentation, version control, and dashboard lifecycle management. Identify reporting redundancies, streamline legacy assets, and coach requesters on high‑value use cases. Contribute to the evolution of enterprise visualization standards and metric definitions.

EDUCATION AND WORK EXPERIENCE

Bachelor’s degree in Business, Data Analytics, Information Systems, Economics, Engineering, or related field—or equivalent experience.

5+ years of hands‑on experience in BI development,…