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Business Analyst

Job in Seattle, King County, Washington, 98127, USA
Listing for: LendingTree, LLC
Full Time position
Listed on 2026-05-18
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Science Manager, Data Warehousing
  • Business
    Business Systems/ Tech Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

ROLE OVERVIEW

This role requires a hybrid schedule in our Seattle, WA office:
Tuesday–Thursday in‑office, Monday and Friday remote.

Lending Tree 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, perform deep analysis into technical systems, and build reports that give clarity to these complex systems.

This role aligns to Lending Tree’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 Operations 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…
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