Senior Revenue Analyst

Job Description Who We Are HaloMD is a fast-growing arbitration and medical billing company on a mission to streamline processes, resolve disputes, and deliver exceptional service. Our success comes from our people, and we're searching for a dynamic Sr. Analyst to help take us to the next level. Job Summary We need someone to build the revenue intelligence engine that will power our next phase of growth. You'll design the analytical infrastructure that turns our data into pricing strategy, margin decisions, and accurate revenue forecasts; work that directly influences how we allocate resources and where we compete. You'll own the frameworks that help leadership understand what's driving revenue performance and what to do about it. This means building predictive models for revenue forecasting, creating automated dashboards that replace manual reporting, and uncovering pricing opportunities hidden in our customer data. You'll partner closely with our pricing team, Revenue Operations, Sales, and Finance; delivering the analysis that informs them of strategy and commercial decisions. The role will grow with the company. Right now, you're building systems and setting standards. Where it goes from there depends on how the business evolves and where your strengths take you; some people in similar roles have moved into leadership, others have specialized deeper into areas like pricing analytics or revenue strategy. If you're energized by transforming messy data into clear strategic direction in a fast-moving environment, this is the role. Core Competencies
Exceptional analytical rigor and structured problem-solving
Ability to synthesize large data sets into actionable business insights
Strong executive communication skills with the ability to present complex analyses clearly
High attention to detail and commitment to data accuracy and governance
Ability to operate independently in ambiguous, high-growth environments Primary Responsibilities Revenue & Pricing Analytics:
Develop and maintain advanced revenue models incorporating price-volume-mix analysis, margin decomposition, and cohort-based customer analytics
Build scenario-based pricing models and elasticity analyses to evaluate competitive positioning and profitability impacts
Support deal-level analytics including contribution margin modeling and customer lifetime value (CLV) analysis
Build driver-based revenue forecasts leveraging historical trends, pipeline data, and predictive indicators
Partner with FP&A on integrated forecasting models (revenue, margin, cash flow) KPI Architecture & Business Intelligence:
Design and standardize enterprise KPI frameworks aligned to revenue growth, margin expansion, and cash flow performance
Define and operationalize metrics across customer segments, channels, and geographies
Establish governance for KPI definitions, calculation methodologies, and reporting consistency
Develop automated executive dashboards and self-service reporting solutions
Collaborate with Data Engineering to design scalable data models supporting revenue and KPI reporting
Create SQL queries to extract, transform, and analyze large data sets Other Strategic Contributions:
Provide executive-ready insights that translate analytical findings into clear commercial recommendations
Partner cross-functionally with Revenue Operations, Sales, Marketing, Product, and Finance to align reporting and analytical priorities
Support strategic initiatives including pricing optimization, capital planning, and potential M&A analysis through advanced financial modeling
Contribute to continuous improvement of data architecture, reporting processes, and analytical methodologies Technical Skills & Specialized Knowledge
Advanced Excel modeling (Power Query, Power Pivot, DAX, VBA/macros)
Strong SQL proficiency (complex joins, aggregations, data cleaning)
Experience with BI tools such as Power BI, Tableau, Looker, or similar
Experience with ERP, planning systems, and financial data environments
Knowledge of statistical analysis, regression modeling, or forecasting techniques preferred
Experience with Python or R for financial or statistical analysis is a plus Required Qualifications
Bachelor's Degree in Finance, Economics, Data Analytics, Statistics, Mathematics, Engineering, or related quantitative field
3+ years of progressive experience in revenue analytics, BI, FP&A, pricing analytics, or data-driven finance roles
Experience working with large datasets and building scalable reporting solutions
Experience supporting executive leadership with data-driven insights Preferred Qualifications
Advanced degree (MBA, MS in Analytics, Statistics, or similar) is preferred
Experience in a fast-paced, high-growth environment
Familiarity with capital markets and experience in managing debt financings
Experience in financial evaluation of mergers and acquisitions Perks & Benefits
Remote Setting: Work from anywhere within the United States with reliable high-speed internet
Multiple medical plan options
Health Savings Account with company contributions
Dental & vision coverage for you and your dependents
401k with Company match
Vacation, sick time & Company paid holidays
Company wellbeing program with health insurance incentives What's Next? If you're ready to bring your skills, passion, and leadership to our growing team, we want to hear from you! Apply today and help us create a future where success is the standard.