Revenue Strategy & Analytics

loanDepot, Inc.; Scottsdale (AZ); On-site; USD 66,000 - 91,000; Full time

Benefits offered by this job

Aggressive compensation

Tuition reimbursement

Wellness program

Generous paid time off

Job summary

loanDepot is seeking an Analytics professional to oversee systems, processes, and analytics that enable revenue growth within the Consumer Direct lending channel. You will forecast, report, and adopt AI/ML tools to support loan officers and sales leaders in meeting revenue targets.

You will analyze large datasets, build predictive models, and conduct market analyses to improve pricing, lead performance, and conversion rates while partnering with Sales, Marketing, Finance and Operations to

Qualifications

• Bachelor's degree in Business Administration, Business Analytics, Data Analytics or related field preferred.
• Minimum 2+ years of experience in Revenue Operations, Sales Operations, or Business Operations.
• Knowledge of mortgage lending products, pipeline management, and loan officer performance metrics is a plus.
• Excellent analytical skills with expertise in Excel, SQL, or BI tools.
• Exceptional verbal, written and interpersonal communication skills.

Responsibilities

• Analyze large datasets to generate insights driving revenue growth and optimize lead distribution.
• Develop and maintain predictive models and AI/ML driven analytics to support forecasting and decision making.
• Conduct pricing and market analyses to improve conversion rates and profitability.
• Collaborate with Sales, Marketing, Finance and Operations to deliver data-driven solutions.
• Standardize revenue operations processes, workflows and governance for scalable growth.
• Support lead management, marketing attribution, and performance reporting.
• Validate revenue forecasts, commissions, and KPIs with Finance.
• Analyze revenue funnels, lead economics, and customer acquisition costs.
• Stay updated on trends in revenue operations, analytics, AI/ML, and mortgage industry.

Skills

Analytical skills

Communication skills

Education

Bachelor's degree in Business Administration or related field

Tools

Excel

SQL

BI tools

Job description

Responsible for supporting the oversight of the systems, processes, and analytics that enable revenue growth and operational efficiency within the Consumer Direct lending channel. This role will collaborate with Sales, Marketing, Finance, and Operations teams to optimize the revenue cycle, improve pipeline visibility, and support business performance. The Analyst will support forecasting, reporting and adoption of AI/ML tools and processes that support loan officers and sales leaders in meeting revenue targets.

Responsibilities:

• Analyze large, complex datasets to generate actionable insights that drive revenue growth, improve contact strategies, optimize lead distribution, and enhance unit economics.
• Develop and maintain predictive models, AI/ML driven analytics, and reporting solutions to support business decision making, forecasting, pricing strategies, and lead performance measurement.
• Conduct ongoing pricing and competitive market analyses, recommending adjustments to improve conversion rates, profitability, and market positioning.
• Partner closely with Sales, Marketing, Finance, and Operations teams to understand business needs and deliver data-driven solutions that improve production and efficiency.
• Establish, standardize, and document revenue operations processes, workflows, and governance practices to support scalable growth and operational excellence.
• Support lead management, marketing attribution, sales enablement, and customer acquisition initiatives through advanced analytics and performance reporting.
• Collaborate with Finance to validate revenue forecasts, commission plans, business cases, and key performance metrics.
• Leverage mortgage industry knowledge to analyze revenue funnels, lead economics, customer acquisition costs, and sales performance trends.
• Stay informed on emerging trends, technologies, and best practices in revenue operations, analytics, AI/ML, and the mortgage industry.

Requirements

• Bachelor’s Degree in Business Administration, Business Analytic, Data Analytic or related field preferred.
• Minimum of two (2) + years’ experience in Revenue Operations, Sales Operations, or Business Operations, preferably within mortgage lending, financial services, or banking.
• Knowledge of mortgage lending products, pipeline management, and loan officer performance metrics a plus.
• Excellent analytical skills with expertise in Excel, SQL, or BI tools.
• Exceptional verbal, written and interpersonal communication skills.

Why work for #teamloanDepot:

• Aggressive compensation package based on experience and skill set.
• Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive.
• Work with other passionate, purposeful, and customer-centric people.
• Extensive internal growth and professional development opportunities including tuition reimbursement.
• Wellness program to support both mental and physical health.
• Generous paid time off for both exempt and non-exempt positions.

About loanDepot:

loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.

Base salary is one piece of our total rewards package and is structured within a range so you can progress as you grow in the role. For this position, the anticipated annual base salary range is $66,000 to $91,000 nationally. In certain high-cost geographic markets (CA), the anticipated annual base salary range is $76,000 to $104,500. Actual compensation will depend on your skills, experience, qualifications, and the work location tied to our geographic pay structure.

We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.