Lendingtree

Business Analyst

Seattle, Washington, United States Full Time

*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 

  • 1-4 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.