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Senior Revenue Analyst

HaloMD, Dallas, TX, United States


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

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

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

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

401(k) 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.

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