loanDepot

Business Intelligence Analyst, Sr

loanDepot$99K — $136K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in business intelligence or analytics with financial services experience; mortgage preferred.
  • Proficient with cloud-based data tools like Databricks, Azure Data Services, and Snowflake.
  • Experience with AI-assisted analytics platforms and natural language query technologies.
  • Expertise designing executive dashboards and analytics in Power BI.
  • Strong SQL skills; familiarity with Python or other programming languages is a plus.
  • Ability to communicate complex data concepts to non-technical stakeholders effectively.
  • Bachelor's degree in a relevant field or equivalent experience.

Responsibilities

  • Develop actionable insights from complex datasets to support business decisions.
  • Utilize cloud-based platforms to analyze and interpret large datasets.
  • Employ AI techniques and prompt-based analytics to enhance self-service analytics.
  • Collaborate with stakeholders to translate business needs into analytical solutions.
  • Conduct various types of analysis, including trend, root cause, and forecasting.
  • Create Power BI models and dashboards to visualize performance and support decision making.
  • Implement best practices in data visualization and UX/UI to optimize communication of insights.

Benefits

  • Inclusive and diverse workplace fostering collaboration and growth.
  • Opportunities for professional development and tuition reimbursement.
  • Comprehensive health benefits including medical, dental, and vision.
  • Wellness programs addressing both mental and physical health.
  • Generous paid time off policy for work-life balance.
Full Job Description
Description

Position at loanDepot

Position Summary:

Responsible for enabling enterprise data discovery, insight generation, and business decision support through the use of modern cloud-based analytics platforms, AI-assisted technologies, and scalable business intelligence solutions. Leverages Databricks, Power BI, semantic models, and emerging generative AI capabilities to transform complex data into actionable business intelligence. Partners closely with business stakeholders to identify opportunities, answer strategic questions, uncover trends, and accelerate decision-making through a combination of self-service analytics, prompt-based data exploration, executive dashboards, and analytical reporting solutions. Applies advanced data visualization, dashboard design, and data storytelling techniques to create decision-support experiences that highlight business priorities, surface actionable insights, and guide executive focus toward key opportunities and risks. Helps create a best-in-class data platform through the use and deployment of scalable business intelligence technologies and cloud-based data services. Partners with the business to identify strategic opportunities where improvements in data infrastructure create outsized business impacts.

Responsibilities:
  • Develops and applies expertise in business analysis to transform complex data into actionable business insights and recommendations.
  • Leverages cloud-based analytics platforms, including Databricks and Microsoft data technologies, to explore, validate, analyze, and interpret large and complex datasets.
  • Utilizes AI-assisted analytics and prompt-based data discovery capabilities, including Microsoft Power BI Copilot and related technologies, to accelerate insight generation, business understanding, and self-service analytics adoption.
  • Partners with business stakeholders to identify analytical opportunities, formulate business questions, and translate organizational objectives into scalable analytical and reporting solutions.
  • Performs data exploration, trend analysis, root cause analysis, forecasting, and hypothesis-driven investigations to support strategic and operational decision-making.
  • Designs and develops Power BI semantic models, dashboards, scorecards, and executive reporting solutions that enable business users to monitor performance and make informed decisions.
  • Applies advanced data visualization, UX/UI, accessibility, and dashboard design best practices to ensure analytical solutions effectively communicate business outcomes and areas requiring attention.
  • Create dashboards and analytical experiences that tell a clear business story, emphasize key performance indicators, identify risks and opportunities, and supports executive and operational decision making.
  • Determines the most appropriate delivery mechanism for business insights, including dashboards, scorecards, AI-generated narratives, prompt-based analytics, self-service reporting, or ad hoc analysis based on business needs, scalability, and cost considerations.
  • Creates and delivers analytical narratives, executive summaries, and actionable recommendations derived from both traditional reporting and AI-assisted insight generation.
  • Interfaces with technology teams to access, validate, and understand data from a wide variety of enterprise data sources.
  • Continually improves reporting, analytics, and self-service capabilities through automation and process optimization.
  • Evaluates emerging analytics, visualization, cloud, and AI technologies and develops proof-of-concept solutions to improve organizational reporting and decision-support capabilities.
  • Participates in strategic and tactical planning discussions with members of Business Intelligence, Data Engineering, and business leadership teams.
  • Provides support for ad hoc analysis and recurring reporting requirements.
  • Performs other duties and projects as assigned.

Requirements
  • Minimum seven (7) years of experience in business intelligence, analytics, report development, data visualization, or related analytical disciplines.
  • Financial services industry experience required. Mortgage industry experience preferred.
  • Demonstrated expertise leveraging cloud-based data and analytics platforms, including Databricks, Microsoft Fabric, Azure Data Services, Synapse Analytics, Snowflake, or comparable technologies.
  • Experience performing enterprise data discovery, analytical research, data validation, and insight generation across large-scale datasets within cloud environments.
  • Experience utilizing AI-assisted analytics platforms, Microsoft Power BI Copilot, natural language query capabilities, prompt-based data exploration tools, or similar generative AI technologies.
  • Expert-level experience designing executive-facing dashboards, scorecards, and analytical solutions using Power BI.
  • Demonstrated ability to apply advanced data visualization techniques, dashboard design standards, UX/UI principles, and data storytelling methodologies to drive business decision making.
  • Experience determining the appropriate balance between self-service reporting, dashboarding, and AI-assisted analytics to meet business objectives efficiently and effectively.
  • Strong understanding of semantic models, enterprise analytical architectures, cloud data ecosystems, and self-service business intelligence strategies.
  • Strong SQL and relational database skills required.
  • Experience with Python or other programming languages preferred.
  • Ability to communicate complex technical and analytical concepts effectively to executive leadership and non-technical business stakeholders.
  • Bachelor's Degree in Computer Science, Information Systems, Business Analytics, Data Analytics, Finance, Economics, Marketing, or a related discipline; equivalent combination of education, professional certifications, and relevant work experience may be considered in lieu of a degree.

Why work for #teamloanDepot:
  • Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot.
  • 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.
  • Comprehensive benefits package including Medical/Dental/Vision.
  • Wellness program to support both mental and physical health.
  • Generous paid time off for both exempt and non-exempt positions.

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this role is between $99,000 and $136,500. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location.

About loanDepot

LoanDepot, sometimes stylized as loanDepot, is a Lake Forest, California-based holding company which sells mortgage and non-mortgage lending products. In 2015, the company claimed to be the second largest non-bank provider of direct-to-consumer loans in the United States. LoanDepot was founded in 2010 by entrepreneur Anthony Hsieh, who had previously founded mortgage companies LoansDirect.com which he sold to E*Trade, and HomeLoanCenter.com, which he sold to LendingTree. The company's products at the time included fixed rate, jumbo, FHA and home equity loans, in addition to more controversial adjustable-rate mortgages and negative amortization products. In November 2015, the company postponed a planned IPO, citing poor market conditions. In March 2017, the company introduced technology to automate the loan process, allowing customers to apply for a mortgage without talking to a loan officer. In January 2018, the company announced two products as part of its technology platform, now called Mello, a home improvement unit to allow contractors to offer financing to customers, and Mello Home, a platform to connect pre-approved buyers to realtors. In September 2019, the company partnered with Century 21 Redwood Realty to form a new mortgage platform for the mid-Atlantic area, Day 1 Mortgage. loanDepot went public on the New York Stock Exchange on February 11, 2021 under the ticker symbol LDI.
Learn more about loanDepot
Market Cap
$453.5 million
Industry
Founded
2010
5 Year Trend
+26.8%
NASDAQ

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