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SR FINANCIAL ANALYST - Analytics and Data VisualizationEmpyrean Benefit Solutions • Houston, Texas, United States
Postuler Maintenant
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SR FINANCIAL ANALYST - Analytics and Data Visualization

Empyrean Benefit Solutions
  • US
    Houston, Texas, United States
  • US
    Houston, Texas, United States
Postuler Maintenant

À propos

SR FINANCIAL ANALYST - Analytics and Data Visualization Houston Headquarters, 2103 CityWest Blvd, Houston, Texas, United States of America
Job Description Posted Friday, January 30, 2026 at 7:00 AM
CLASSIFICATION:
Exempt
JOB SUMMARY
We’re looking for a Financial Business Analyst to join the Finance organization, focused on data visualization, dashboard design, and business-facing analytics. This role is responsible for transforming complex financial and operational data into clear, trusted dashboards that directly inform business strategy and decision-making across the company.
This role is part of the Finance organization and reports to Finance leadership, with accountability for analytical outputs, metric definitions, and insights residing within Finance.
You will work closely with Finance leadership and partner with Revenue and Operations to shape KPIs, reporting standards, and analytical approaches. Your work will regularly inform senior stakeholders by providing clear, analytically grounded perspectives on performance, trends, risks, and tradeoffs.
This role blends hands‑on analytics execution with strategic thinking: designing metrics, building scalable dashboards, and applying analytical judgment to help the business understand not just what happened, but why and what it implies for future decisions.
This role is ideal for someone who enjoys being the bridge between data and business strategy, values clarity over complexity, and is intellectually curious enough to independently explore, troubleshoot, and continuously improve analytical solutions (including effective use of generative AI tools).
ESSENTIAL DUTIES AND RESPONSIBILITIES
Design, build, and maintain high-impact dashboards that clearly communicate financial and operational performance
Own the end‑to‑end analytics workflow within Finance: business questions → metrics → visualizations → insights
Partner with Finance, Revenue, Operations, and senior stakeholders to define KPIs, reporting standards, and analytical conventions
Use SQL to connect visualization tools directly to data sources and shape datasets for reporting and visualization
Automate recurring dashboards and reports to reduce manual effort and improve consistency
Ensure data accuracy, metric consistency, and analytical rigor across Finance‑owned reporting
Apply statistical and probabilistic reasoning—such as trend analysis, variability, confidence intervals, and regression models—to support interpretation and decision‑making
Proactively identify trends, anomalies, risks, and opportunities within financial and operational data
Clearly communicate insights, assumptions, and limitations to both technical and non‑technical audiences
REQUIRED SKILLS AND ABILITIES
Solid SQL skills for querying and shaping data for reporting and visualization
Strong understanding of financial concepts (revenue, margin, forecasting, budgeting, variance analysis, KPIs)
Working familiarity with applied probability and statistics, including confidence intervals, trend analysis, and regression models
Demonstrated ability to independently research problems, validate assumptions, and design fit‑for‑purpose analytical solutions
Comfort using generative AI tools to accelerate analysis, troubleshooting, and solution design
KNOWLEDGE, EXPERIENCE, AND/OR EDUCATION REQUIREMENTS
5‑7 years of experience in Business Analytics, BI, Finance Analytics, or a similar role
Strong expertise in data visualization and dashboarding tools (Tableau, Power BI, Looker, or similar)
Finance background or formal education in Finance, Accounting, Economics, Statistics, or a related field
Experience building self‑service dashboards for Finance and business users
Experience in SaaS, revenue analytics, FP&A, or pricing
Familiarity with basic data modeling concepts (facts, dimensions, metric definitions)
Light experience with Python or R for analysis or automation (not required)
Graduate‑level coursework or research exposure to applied statistics or quantitative methods
Disclaimer: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job. Management reserves the right to modify or reassign job duties as business needs evolve.
Empyrean is an Equal Opportunity Employer: including disability and protected veteran status
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  • Houston, Texas, United States

Compétences linguistiques

  • English
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