Senior Financial Analyst, Information Systems - Hybrid based in Dallas, TX

We are seeking a Senior Financial Analyst, Information Systems to join our team.  The position will have the opportunity to work a hybrid schedule.

The ideal candidate will be a data savvy financial analyst who is highly skilled in building visualizations, managing datasets, and driving insights through analytics. The ability to collaborate with both IT and Finance teams is essential.

The ideal candidate will have the following attributes that will be key to success in the role:

• Highly motivated, proactive, team player, self-starter.  
• Acts with integrity.
• Organized and detail oriented.
• Strong verbal and written communication skills to facilitate cross-functional interaction with key stakeholders.
• Ability to interact effectively with individuals in different disciplines, at all levels of the organization.
• Able to work collaboratively across multiple functions.
• Strong time management skills and the ability to manage competing priorities within tight deadlines.

• FP&A – monthly actual/forecast consolidation, financial report creation, variance explanations, etc. Creation of annual business plan and 5-year outlook. Creation and maintenance of a rolling forecast model in Adaptive. 
• Cost Optimization - Collaborate with IT leaders and department owners to develop IT Total Cost of Ownership (TCO) for applications and services. Identify new cost reduction opportunities and partner with the IT team to review, prioritize and execute cost savings initiatives.
• Analytics and Insights - create and track financial metrics, KPIs and performance against industry benchmarks. IT Finance support for initiatives that will deliver enhanced cost transparency.
• Financial Systems - drive financial systems improvements and digitization efforts for the IT Finance team.
• Ad Hoc reporting and special requests – analysis and reporting of ad hoc financial information as requested by IT and Finance Executives.
• Supporting the IT Finance Director with budgeting, forecasting and long-range planning for a ~$675M Enterprise-wide IT organization. 
• Tracking and reporting on the results of cost reduction programs.
• Creating monthly budget reports for senior executives.
• Researching the key drivers of forecast/budget variances and helping to improve forecast accuracy.
• Supporting financial systems improvements and digitization efforts.
• Supporting the rollout of new features and functionality in Adaptive.
• Leveraging Adaptive to drive new business insights, benchmarking, and identification of new opportunities for cost savings.
• Delivering various ad-hoc analysis to communicate financial insights to the Finance and IT leadership teams.
• Driving continuous improvement of IT financial processes.

Required:

• Bachelor’s degree in finance, accounting or technology field.
• Experience developing enterprise semantic models using Power BI Desktop plus Azure Analysis Services or Fabric semantic models.
• Exposure to AI – enabled tools and the ability to recommend and apply them within finance workflows such as data analysis, forecasting, reporting automation, and decision support
• Power BI dashboards from scratch, including data modeling, ETL/Power Query transformations, and creation of scalable datasets for IT Finance leadership.
• Partner with IT leaders and business partners to provide data-driven insights, leveraging large and complex datasets to improve transparency into IT spending.
• Build automated reports and analytics that streamline cost optimization, IT TCO reporting, and performance tracking.

Preferred:

• Ability to create automated forecasting dashboards using data from Adaptive or custom predictive models.
• Understanding of Financial Planning & Analysis (FP&A) reporting structures and IT cost transparency models (TCO, TBM, budget vs. forecast, unit cost analytics).
• Experience implementing governance standards, including naming conventions, documentation, data lineage, and version control for analytical assets.
• Knowledge of Microsoft Fabric, including Data Factory, Lakehouse, and pipelines is a plus.

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