Senior Business Systems & Analytics Analyst
About The Position
The Senior Business Systems & Analytics Analyst delivers analytics, reporting, and data-driven insights for Crescent Energy’s Operations Services functions, including Supply Chain Management, Health, Safety & Environmental (HSE), Sustainability, Fleet, Security, and Production Accounting. The role translates business needs into reliable reporting, actionable insights, and practical process improvements while working closely with Operations Services stakeholders and IT. The analyst uses trusted enterprise datasets and established reporting standards to improve consistency, reduce manual effort, and support informed decision-making. The position independently manages assigned projects from requirements gathering through delivery, applying sound analytical judgment and communicating findings and recommendations to technical and non-technical audiences. It also contributes to team standards, supports self-service analytics, mentors analysts and business users, and applies company-authorized AI and emerging technologies responsibly. The work environment is primarily office-based, with in-office work 4–5 days per week and occasional travel to field offices and operational sites as needed.
Requirements
- Bachelor’s degree in Business Analytics, Information Systems, Computer Science, Mathematics, Engineering, Supply Chain, Environmental Sciences, or a related field preferred; equivalent education and relevant experience may be considered.
- 8+ years of progressively responsible experience in data analytics, business intelligence, business systems, operational reporting, or process improvement.
- Demonstrated success independently delivering analytical solutions and reporting improvements, partnering with stakeholders, and presenting actionable findings to leadership.
- Advanced Excel skills, including complex formulas, lookups, dynamic arrays, PivotTables, charts, and Power Query for large-dataset analysis and reliable, maintainable models.
- Strong PowerPoint and presentation skills, translating complex analyses into clear visual narratives, business implications, and recommendations for varied audiences.
- Proficiency in Power BI, Spotfire, or comparable visualization tools; knowledge of data modeling, consistent KPI definitions, and Power BI DAX and Power Query.
- Strong SQL skills and working knowledge of Snowflake or comparable cloud platforms for querying, transforming, and validating enterprise data.
- Ability to use Python, Alteryx, or comparable tools for repeatable analysis and automation, and to critically evaluate AI outputs within company requirements.
- Strong analytical judgment and attention to accuracy, with the ability to turn ambiguous business questions into scoped analyses and practical recommendations.
- Collaborative, service-oriented communication; experience working independently, managing competing priorities, owning deliverables, escalating issues, and supporting continuous improvement.
Nice To Haves
- Upstream oil and gas experience, particularly in unconventional operations, is strongly preferred.
- Experience supporting Supply Chain, HSE, Sustainability, Fleet, Security, or Production Accounting is preferred.
Responsibilities
- Understand how Operations Services applications, workflows, integrations, and data capture affect business processes and reporting.
- Identify improvements to system use and reporting efficiency, and partner with stakeholders and technical teams to validate downstream effects of changes.
- Lead analytical projects from requirements through delivery, aligning priorities, success criteria, timelines, and risks with stakeholders.
- Document reporting requirements, acceptance criteria, user acceptance testing, and business sign-off for resulting projects.
- Analyze governed Snowflake datasets and other approved sources to identify operational, cost, safety, environmental, sustainability, and business-process performance drivers and improvement opportunities.
- Develop and maintain dashboards, scorecards, KPIs, and management reports using reusable data models and agreed business definitions.
- Use advanced techniques to reconcile data, evaluate scenarios, and build repeatable analyses; distinguish operational changes from data or reporting issues.
- Present findings, assumptions, limitations, and recommended actions through clear visualizations and concise PowerPoint presentations.
- Improve reporting reliability and usability, consolidate duplicate reports, automate recurring work, and support self-service analytics through training and documentation.
- Apply company-authorized AI tools to analysis, coding, and documentation, validating outputs and following data-handling requirements.
- Validate outputs against source data and approved definitions using repeatable quality checks and reconciliations.
- Document sources, transformations, KPI definitions, assumptions, dependencies, and ownership to support traceable management, compliance, and sustainability reporting.
- Partner with business data owners and IT to resolve data-quality issues and align reporting with governed datasets and standards.
- Use stakeholder feedback and report usage to refine, consolidate, or retire reporting content and improve analytical consistency.
- Mentor analysts and business users by sharing analytical techniques, business knowledge, and practical guidance on interpreting results.
- Peer-review queries, dashboards, analyses, and presentations; contribute reusable templates, standards, and documentation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
