Data Product Analyst

LendingTree•Charlotte, NC

1d•$90,000 - $95,000•Hybrid

About The Position

The Data Product Analyst helps transform business needs into trusted, usable data products that support reporting, analytics, and business decisions. The role bridges business stakeholders and technical teams, contributing throughout the data product lifecycle—from discovery and requirements gathering through design support, testing, documentation, delivery, and ongoing improvement. The analyst works closely with Reporting, Data Governance, and Data Product leads, business stakeholders, analysts, and data engineers. The position is based in Charlotte, North Carolina, and requires attendance at the South End office three days per week. Candidates must be legally authorized to work in the United States; LendingTree will not provide employment visa sponsorship.

Requirements

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, including 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 and problem-solving skills, with the ability to organize work and follow through on open items.
Legal authorization to work in the United States; employment visa sponsorship is not available.

Nice To Haves

Hands-on experience in analytics, business intelligence, or data engineering.
Experience writing user stories, development tickets, acceptance criteria, or product requirements documents.
Experience supporting user acceptance testing or validating reports, datasets, or data pipelines.
Familiarity with data governance concepts, including data quality, business definitions, ownership, lineage, and data contracts.
Experience using tools for project tracking, documentation, or data cataloging.
Curiosity about how data products are designed, developed, governed, and used to solve business problems.
Comfort using AI tools to support discovery, requirements gathering, data product design, prototyping, and documentation, while validating outputs for accuracy and ensuring responsible data use.
Experience designing or building AI agent workflows and automations to streamline tasks, connect tools or data sources, and support business processes.
A proactive mindset, strong relationship-building skills, and the ability to navigate open questions and evolving requirements.

Responsibilities

Partner with business stakeholders to understand goals, reporting needs, workflows, and data challenges.
Document requirements and translate discovery findings into user stories, development tickets, and acceptance criteria.
Collaborate with Data Product leads, reporting teams, and data engineers to define data needs, business rules, definitions, dependencies, and expected outcomes.
Write and maintain product requirements documents, data contracts, business definitions, and usage guidance.
Work with Data Governance and engineering teams to document data structures, quality expectations, ownership, and refresh requirements.
Use basic SQL and reporting tools to explore data, investigate discrepancies, and validate results.
Prepare and execute user acceptance testing, coordinate business participation, document defects, and confirm fixes meet acceptance criteria.
Communicate requirements, proposed designs, testing results, and product demonstrations to technical and business audiences.
Keep partners informed about open questions, issues, and progress.
Monitor product usage, performance, and user feedback to identify issues and opportunities to improve data products.
Help ensure delivered data products are accurate, accessible, useful, well-documented, and trusted.