Jobs / United States / Lendingtree LLC

Lendingtree LLC

Data Product Analyst

Charlotte, NC, United States Posted today

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Lendingtree LLC paid sponsored hires in similar roles3 certified filings for “Senior Data Engineer” (Data Scientists) in NC: $106k–$130k, median $125k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 17 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Lendingtree LLC paid sponsored hires in similar roles
3 certified filings for “Senior Data Engineer” (Data Scientists) in NC: $106k–$130k, median $125k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Data Product Analyst Location: Charlotte, NC (Hybrid) The Opportunity We’re looking for a Data Product Analyst to help transform business needs into trusted, usable data products that power reporting, analytics, and better business decisions. In this role, you’ll help bridge the gap between business stakeholders and technical teams, ensuring data products are thoughtfully designed, well-documented, and built to solve real business problems. You’ll have the opportunity to contribute throughout the data product lifecycle, from discovery and requirements gathering to testing, documentation, and ongoing improvement. If you’re curious about data, enjoy solving problems, and like bringing people together to turn ideas into action, this is an opportunity to build your expertise while making a meaningful impact. How You’ll Make an Impact • Translate Business Needs into Actionable Requirements: Partner with business stakeholders to understand their goals, reporting needs, workflows, and data challenges. Document requirements and translate discovery findings into clear user stories, development tickets, and acceptance criteria. • Support Data Product Design and Development: Collaborate with Data Product leads, reporting teams, and data engineers to define data needs, business rules, definitions, dependencies, and expected outcomes. • Build Trusted Product Documentation: Write and maintain product requirements documents (PRDs), data contracts, business definitions, and usage guidance. Partner with Data Governance and engineering teams to document data structures, quality expectations, ownership, and refresh requirements. • Validate Data Products and Deliver Quality: Use basic SQL and reporting tools to explore data, investigate discrepancies, and validate results. Prepare and execute user acceptance testing (UAT), coordinate business participation, document defects, and confirm fixes meet acceptance criteria. • Strengthen Stakeholder Alignment: Communicate requirements, proposed designs, testing results, and product demonstrations to technical and business audiences. Keep partners informed of open questions, issues, and progress. • Identify Opportunities for Improvement: Monitor product usage, performance, and user feedback to identify issues and opportunities to make data products more accurate, accessible, and useful. Who You’ll Work With You’ll work closely with Reporting, Data Governance, and Data Product leads, business stakeholders, analysts, and data engineers to bring data products from discovery through delivery. This is a collaborative, cross-functional role where you’ll help connect business priorities with technical execution, build shared understanding, and ensure the products we deliver are trusted and useful. You’ll also have the opportunity to learn from experienced partners as you deepen your understanding of our data ecosystem and product practices. What You’ll Bring • A college degree. • At least two years of experience working alongside data or analytics teams in a business, analytical, technical, or product support capacity. • Basic SQL skills, including the ability to query, filter, join, and summarize data. • Experience working with databases or reporting and business intelligence tools. • Ability to gather business requirements and translate them into clear, organized documentation. • Strong written and verbal communication skills, with the ability to explain data concepts to business audiences and communicate business needs to technical teams. • A collaborative approach to working with stakeholders, analysts, and data engineers. • Strong attention to detail, problem-solving skills, and the ability to organize work and follow through on open items. What Will Help You Thrive • Hands-on experienc

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