Business Analyst at LendingTree

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

95000.0

Posted On

06 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Snowflake, Data Analysis, Business Analysis, Data Visualization, A/B Testing, Revenue Operations, Dashboarding, Stakeholder Management, KPI Tracking, Storytelling, Technical Auditing

Industry

Insurance

Description

*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. CCPA Disclosure

Responsibilities

The Business Analyst will deliver data-driven insights and dashboards to support the Revenue Operations group and drive revenue growth. They will partner with Sales and Marketing teams to remove operational bottlenecks and perform deep analysis of technical systems.