LendingTree
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 about us:
- 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.
CULTURE
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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Business Analyst
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*This role requires a hybrid schedule in our Seattle, WA office; Tuesday–Thursday in-office, Monday and Friday remote.*
ROLE OVERVIEW
LendingTree is seeking a Business Analyst to support our fast-growing Revenue Operations group. This role is responsible for delivering actionable insights through strong analytical execution, clear storytelling, and close partnership with business stakeholders.
As a Business Analyst, you will independently own analyses for a defined business area, assess business problems, collect and analyze the right data, and translate findings into insights that drive measurable business outcomes. You will partner closely with Sales and Marketing teams to discover and remove operational bottlenecks to drive revenue growth. Performing deep analysis into technical systems and building reports that give clarity to these complex systems.
This role aligns to LendingTree’s Business Analyst job family with an emphasis on analytics delivery, business partnership, and technical proficiency in SQL/Snowflake.
CORE RESPONSIBILITIES
Analytics & Insights Delivery
- Deliver data-driven insights using clean, well-organized analyses, dashboards, and visualizations.
- Identify patterns, trends, and anomalies in campaign and partner performance and translate findings into clear recommendations.
- Assess business situations, define analytical problems, and determine the appropriate data and methodology to address them.
Revenue Operation Support
- Serve as the primary analytics partner for the Revenue Operations group, supporting day-to-day decision-making and strategic initiatives.
- Conduct detailed audits of tech platforms to identify optimization opportunities and inefficiencies.
- Support strategic innovation projects by providing ongoing performance analysis and insight.
Measurement & Experimentation
- Track and evaluate the results of business initiatives to determine whether outcomes were successful.
- Support the development, execution, and analysis of A/B tests, including defining success metrics and interpreting results.
- Establish baseline performance metrics and KPIs to measure campaign success and year-over-year growth.
Technical Execution
- Write efficient, accurate SQL queries in Snowflake to extract and analyze large, complex datasets.
- Ensure data accuracy and consistency across reporting and analyses.
- Partner with engineering and product teams to understand data structures, resolve data questions, and reduce ad-hoc analytical load on engineers.
Cross-Functional Collaboration
- Communicate insights effectively to both technical and non-technical stakeholders.
- Proactively surface risks and opportunities that may impact performance or scalability.
- Contribute to analytics best practices, documentation, and standardization within the Business Analytics team.
Immediate Focus Areas
- Provide support for deep-dive analysis of key focus areas of Revenue Operations.
- Build and maintain foundational dashboards to track campaign efficiency, ROI, and incremental VMD.
- Partner with Media/Publisher stakeholders to understand priorities, workflows, and pain points.
- Deliver actionable recommendations that drive improvements in performance and operational efficiency.
Key Metrics & Business Impact
This role will directly impact:
- Incremental VMD through improved distribution optimization.
- Cost per Conversion by identifying and reducing inefficiencies.
- Campaign ROI via high-quality analysis and insight-driven decision-making.
- Year-over-Year Growth by supporting scalable analytics for a rapidly expanding business line.
QUALIFICATIONS
Required
- 3-5 years of experience in business analytics, data analytics, or a related role.
- Strong proficiency in SQL, with hands-on experience querying data in Snowflake.
- Proven experience delivering insights that influence business decisions.
- Ability to work independently on moderately complex analytical problems.
- Strong communication skills with the ability to translate data into clear business narratives.
Preferred
- Experience supporting sales, marketing, or performance-based businesses.
- Experience with dashboarding and visualization tools (e.g., Tableau, Looker, Power BI).
- Familiarity with experimentation and A/B testing methodologies.
- Experience partnering with product or engineering teams.
Leveling & Growth Alignment (Internal Fit)
This role is aligned to Business Analyst within LendingTree’s analytics job family:
- Operates independently within a defined business area.
- Owns analyses end-to-end with moderate complexity.
- Partners closely with stakeholders and provides actionable recommendations.
ABOUT LENDINGTREE
LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.
Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.
About QuoteWizard
QuoteWizard, a division of LendingTree, helps consumers and insurance agents connect through a seamless online marketplace. More than 40 million people have used QuoteWizard to compare quotes and save on insurance. By combining technology, transparency, and expertise. QuoteWizard makes shopping for insurance simple and accessible — empowering people to make confident choices about their coverage. When you think of insurance, think QuoteWizard.
What else you should know:
- We’re a publicly traded company (NASDAQ: TREE).
- We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
- We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
- We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.
The base pay range for this position in Seattle/New York/Colorado/California is $80,000-95,000 however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.
Benefits: Medical, dental, vision insurance and 401(k) matching
OUR CULTURE
We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.
We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
QuoteWizard by 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.
Ready to apply?
Apply to LendingTree
Sr. Data Product Manager
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*PLEASE NOTE: This role requires the candidate to be in or near Charlotte, NC. In-office presence is required three days a week. Additionally, this position does not offer visa sponsorship.*
Overview
We are seeking a Senior Data Product Manager to translate business strategy into a roadmap of data capabilities and design and manage a set of enterprise data products. This role is critical in transforming our organization from treating data as an IT byproduct to managing data as a strategic asset through the creation of scalable, trusted data products that drive decision-making and measurable business outcomes.
We are looking for someone with a strong background as an analytics or data practitioner who understands how data is used in the real world and can translate business needs into products that deliver insights, not just data. You will define and curate data products that enable the business to better understand performance, unlock new opportunities, and operationalize data across teams.
This role serves as the strategic bridge between business stakeholders and enterprise data teams, ensuring that data capabilities are designed holistically, built for reuse and scale, and aligned to clear business value. You will play a key role in enabling next-generation self-service BI and AI capabilities by making data more accessible, reliable, and actionable.
The ideal candidate is a change agent who challenges the status quo, breaks down organizational silos, and relentlessly advocates for new ways of working to ensure data is effectively leveraged to drive business impact.
This is not a project management, Scrum Master, or delivery coordination role. This is also not a data architect or data engineering role. This is a strategic product leadership role focused on driving meaningful change in how data is used across the organization. It defines what should be built and why, partnering closely with data teams who own execution and delivery.
Key Responsibilities
Strategic Partnership & Business Alignment
- Develop deep domain expertise to serve as a trusted SME and thought partner for business and analytics teams, identifying opportunities where data products can drive measurable outcomes and competitive advantage
- Find gaps in internal data availability or maturity by uncovering where data is needed but missing, or where data is over-invested but not needed
- Partner with stakeholders to deeply understand business goals, decision-making processes, and pain points, translating them into clear data product opportunities
- Balance competing priorities across business stakeholders, think critically about how to prioritize work when resources are constrained, and clearly explain prioritization rationale
- Challenge assumptions and influence stakeholders to adopt data-driven approaches, even when it requires shifting existing processes or mindsets
- Bridge the gap between business and technical teams by translating complex data concepts into actionable business insights and vice versa
- Advocate for a product-centric approach to data, helping shift the organization from ad hoc analytics to scalable, reusable data solutions
- Align data product priorities with enterprise strategy, ensuring efforts are focused on the highest-value use cases
- Drive cross-functional collaboration, breaking down silos to ensure data products are adopted, trusted, and embedded into business workflows
- Act as a thought partner to both technical and non-technical leaders, influencing teams to think about data products as re-usable assets, not one-off solutions
- Balance long-term vision with pragmatic execution by identifying quick wins that demonstrate value, while iteratively advancing toward more transformative, enterprise-scale solutions
Data Product Portfolio Management
- Define and manage a portfolio of enterprise data products, ensuring alignment to business priorities, strategic objectives, and measurable outcomes
- Own prioritization of data products and build roadmaps that outline product vision, key milestones, dependencies, and delivery timelines
- Operate effectively in ambiguous environments where data, requirements, or ownership may be incomplete or evolving
- Communicate roadmap progress, trade-offs, and priorities to business stakeholders and senior leadership, ensuring transparency and alignment
- Ensure data products are not only delivered, but adopted—partnering with the business to embed data into workflows, decision-making processes, and day-to-day operations
- Present data product plans in terms of business value, clearly articulating expected outcomes, timelines, and return on investment
- Partner with cross-functional teams to sequence initiatives effectively, balancing capacity, dependencies, and evolving business needs
- Establish and track success metrics for data products, including adoption, usage, and realized business value
- Continuously evaluate portfolio performance, identifying opportunities to optimize, scale, or sunset products based on impact and relevance
- Create feedback loops with stakeholders and end users to inform roadmap adjustments and ensure products remain aligned to business needs
- Drive accountability for delivering outcomes—not just outputs—by ensuring data products are actively used and delivering intended value
Governance & Compliance Partnership
- Partner with governance, legal, and risk teams to ensure data products meet enterprise standards for privacy, security, and regulatory compliance
- Ensure governance is embedded within data products through clear ownership, stewardship, and accountability—not treated as a separate process
- Establish and uphold clear standards for data quality, metric definitions, and data contracts to ensure consistency and trust across the organization
- Identify and recruit appropriate business data owners and stewards for each data product, ensuring accountability for accuracy, definition, and usage
- Ensure data products are well-documented, with clear definitions, lineage, and ownership to support transparency and usability
- Collaborate with data engineering and analytics teams to embed governance practices into the development lifecycle, not as an afterthought
- Monitor and address data quality issues, working with stakeholders to prioritize fixes that impact business trust and decision-making
- Advocate for a “trusted data” mindset, where governance is viewed as an enabler of better decisions—not a blocker to progress
Required Qualifications
- 8–10 years of experience working in data and analytics as a consumer and/or power user of data.
- Demonstrated experience building and managing roadmaps with cross-functional dependencies.
- Experience presenting strategy, roadmaps, and business cases to senior leadership.
- Working knowledge of analytics and reporting pipeline architecture to inform product scoping and trade-off discussions.
- Strong ability to define product requirements that align business goals, user needs, and system constraints
- Experience managing customer data lifecycle initiatives (e.g., customer identity graph, CDP use cases, identity resolution).
- Experience working with digital marketing data and tools.
Preferred Qualifications
- Experience partnering with governance, legal, or compliance teams to ensure responsible data solutions.
- Familiarity with modern BI, data platform, and AI enablement architectures.
- Experience operating in a data-mature enterprise environment with shared services teams.
Key Competencies
- Strategic thinking and systems-level problem solving
- Strong executive communication and influence
- Ability to navigate ambiguity and complex organizational dynamics
- Deep understanding of data value chains (ingestion → transformation → modeling → BI/AI enablement)
- Outcome-oriented mindset with focus on measurable impact
COMPENSATION
The base pay for this position is $140,000-170,000, however, base pay offered may vary depending on internal factors, job-related knowledge, and candidate experience.
INCENTIVE COMPENSATION
Eligible for annual performance bonus
BENEFITS
Medical, dental, and vision insurance and 401(k) matching
OUR CULTURE
We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.
We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.
Ready to apply?
Apply to LendingTree
Senior Data Scientist
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*Candidates must be located in Charlotte, NC or willing to relocate. The position requires in-person attendance at least 3 days a week (ideally Tuesday-Thursday) in our Charlotte, NC office. Applicants also must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
THE POSITION:
The Senior Data Scientist is a key role within the Data Science team that involves leading complex data analysis and model development projects, leveraging a deep understanding of data science and machine learning workflows. This role requires the ability to navigate fast-paced environments with agility and poise, as well as build strong partnerships with engineering, product, business, finance, and analytics teams. As a Senior Data Scientist, you will take on a leadership position, guiding junior team members and ensuring the successful implementation of advanced analytics solutions.
KEY RESPONSIBILITIES:
- Help execute data science strategies and roadmaps to address business challenges and opportunities through analytics and AI/ML models.
- Hands on design, development, and deployment of predictive models, machine learning algorithms, and AI solutions.
- Collaborate with team members and business stakeholders to understand objectives and requirements and develop analytic models that provide actionable insights.
- Ensure the validity, reliability, and robustness of models by implementing best practices in model validation, testing, and calibration.
- Monitor performance and outcomes of models and refine them for optimized performance.
- Communicate complex analytic solutions and insights in a clear and structured manner to business stakeholders.
- Foster a culture of continuous improvement within our data science practices, staying abreast of industry trends and advancements.
- Demonstrate an eagerness to learn, including aspects related to bringing data science models into operational use.
QUALIFICATIONS:
- Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field. PhD in the above fields preferred.
- Minimum of 5 years of experience in a data science role, showcasing solid abilities in SQL and Python.
- Excellent data analysis, profiling and statistics skills coupled with proficiency in SQL tools and technologies such as Oracle, SQL Server, MySQL, Pandas, NumPy, ggplot, Shiny, SciPy, Sci-Kit Learn, and Matplotlib.
- Proficiency in utilizing a range of Machine/Deep Learning algorithms and frameworks, including TensorFlow, PyTorch, scikit-learn, Spark ML, Torch, Huggingface, Keras, Caffe, and CNTK.
- Solid understanding of cloud computing environments and experience with deploying models in cloud environments such as AWS, Azure, or GCP.
- Experience in or understanding of model development, with a willingness to explore model deployment strategies.
- High analytical aptitude for navigating complex datasets to extract actionable insights.
- Excellent problem-solving skills and a detail-oriented mindset.
- Strong communication abilities, capable of conveying technical concepts to diverse audiences.
- Proactive in learning and adapting to new methodologies and challenges.
- Ability to work effectively in a team and manage simultaneous projects in a dynamic environment.
NICE TO HAVE:
- Prior experience in Fintech
- Software engineering experience
TEAM CULTURE:
We are seeking enthusiastic candidates who have an unwavering commitment to remain at the forefront of data technology and science. Our ideal candidates are those who aim to foster a team spirit and collaboration and want to learn and grow with our team.
ABOUT LENDINGTREE
LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products.
Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.
What else you should know:
- We’re a publicly traded company (NASDAQ: TREE).
- We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
- We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
- We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.
OUR CULTURE
We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.
We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)
Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.
The base pay range for this position in Seattle/New York/Colorado/California is $130,000 to $170,000; however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.
Incentive Compensation: Eligible for annual performance bonus
Ready to apply?
Apply to LendingTree