• Take ownership of data analysis activities and work closely with end users (both internal and external clients) to translate requirements into data-driven applications and data visualization solutions (e.g. reporting and dashboards)
  • Create near real-time reporting solutions blending data from multiple sources
  • Assist the team in the production of analytic products (e.g., reports, data analyses)
  • Perform complex data analysis to identify trends, patterns, and opportunities
  • Interpret data using statistical techniques
  • Maintain and monitor reporting tools in Power BI, Spotfire etc.
  • Work with management to prioritize business information needs
  • Effectively work with business users and product owners to clarify project requirements and provide project estimates
  • Collaborate with others on developing predictive models
  • Collaborate effectively with Engineers, Data Scientists, and Product Owners to implement project work you're doing
  • Craft and maintain technical documents
  • Participate in on-call rotation for off-hours support
  • Perform complex data analysis to identify trends, patterns, and opportunities
  • Lead product roadmap creation for BI to define the capabilities of the platforms and services and delivery timelines
  • Identify and drive initiatives for improving team performance


  • 10+ years of experience in data warehousing, ETL development, and analytics.
  • Hands-on experience with BI tools and reporting software (e.g. MicroStrategy, Tableau, Power BI, Excel)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Understanding of dimensional database modeling.
  • Excellent data presentation skills, utilizing dashboards and other technologies.
  • Excellent verbal and written communication skills.
  • Ability to design and implement projects with minimal guidance.
  • Experience with Agile methodologies.
  • Adept at querying, report writing and presenting findings


  • M.S. in Computer Science, Mathematics or equivalent
  • Experience working with SQL Server, Azure, and Snowflake
  • Experience writing and debugging complex SQL queries
  • Experience with source control ( git preferred )


LendingTree is the nation’s largest online lending marketplace. That means we connect customers with multiple lenders so they find the best deals on loans, credit cards, savings accounts and insurance. Our goal is to help people save money, and we believe the best way to do that is by giving them a way to shop for loans and compare lenders so they make their best financial choices.
Our CEO Doug Lebda founded the company in 1996 after a frustrating house-hunting experience. In those days, we mostly helped people find good mortgage deals. Now, we help consumers find their best in personal loans, auto loans, business loans, student loans, credit cards, savings accounts, home equity loans and more.
What else you should know: 
  • We’re a publicly-traded company (TREE).
  • We’ve welcomed several other companies into the LendingTree family to augment our efforts at helping borrowers make their most sensible financial choices.
  • We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.  
  • We still make funny commercials.
We’re a fast-paced company with an entrepreneurial bend. We work hard and test our products often. We’re collaborative, ambitious, candid and high-energy. Our teammates are some of the brightest, most talented people you’ll ever work with. We care more about your smarts than we do about the kinds of clothes you wear (but please, do wear clothes to work!), and we’re pretty good about rewarding innovation, creativity and the knack for just getting stuff done (we even have an award for employees called the GSD, “Get Stuff Done”). 
Come work with us!

LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status.

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