Data Science Analyst Jobs in North Carolina

Senior Analyst

We are looking for someone who is passionate about using data to improve customer experiences and business outcomes. You love understanding how customers move through a product journey, identifying friction points, and uncovering opportunities to optimize conversion funnels. You are equally comfortable diving into complex datasets, defining measurement frameworks, and partnering with Product, Engineering, and Business leaders to turn insights into action.

You are naturally curious and constantly asking questions. Why are customers dropping off at a particular stage? What product experiences drive higher engagement and conversion? Are we measuring the right things? What data should we be collecting today to answer the questions we'll have tomorrow?

In this role, you will serve as a strategic analytics partner to Product, Engineering, and Business leaders. You will help define and measure the customer journey, identify opportunities for funnel optimization, and influence product strategy through data-driven recommendations. You will also play a critical role in shaping our analytics infrastructure by partnering with Data Engineering teams to establish scalable data pipelines, event tracking frameworks, and trusted datasets that power future insights.

Success in this role requires strong analytical thinking, a bias toward action, and the ability to translate ambiguity into structured frameworks and measurable outcomes. You will need to challenge assumptions, influence stakeholders across the organization, and communicate complex findings through clear, compelling narratives grounded in data.

We are a learning culture. People who do well here:
- Are proactive and take ownership of both business outcomes and their own development
- Demonstrate curiosity by asking thoughtful questions and digging deeper to understand root causes
- Think strategically while remaining focused on execution
- Build strong partnerships across Product, Engineering, Marketing, and Analytics teams
- Seek feedback, continuously improve, and help elevate those around them
- Operate with a growth mindset and embrace change as new information becomes available

In this role, you can expect the following from us:
- Meaningful impact. Your work will directly influence product strategy, customer experience, and business performance.
- Autonomy and ownership. You will have the opportunity to define analytical approaches, shape measurement strategies, and drive high-visibility initiatives.
- Cross-functional collaboration. You will work closely with Product Managers, Engineers, Data Engineers, and business leaders to solve complex challenges.
- Continuous learning. You'll be surrounded by curious, driven teammates who value experimentation, innovation, and professional growth.

Responsibilities

- Partner with Product and Business leaders to identify opportunities for funnel optimization, customer experience improvements, and revenue growth
- Develop analytical frameworks that measure product performance across the customer journey and inform strategic decision-making
- Conduct deep-dive analyses to identify drivers of customer behavior, conversion, engagement, retention, and product adoption
- Define, monitor, and communicate key product performance metrics and KPIs
- Lead measurement planning for new product launches, features, and experiments
- Design and analyze A/B tests and other experimentation frameworks to evaluate product changes and quantify business impact
- Collaborate with Data Engineering teams to design, validate, and maintain foundational data assets, event tracking strategies, and scalable analytics datasets
- Identify data quality issues, measurement gaps, and opportunities to improve analytics infrastructure
- Build dashboards, reporting solutions, and self-service analytics tools that empower stakeholders across the organization
- Translate complex analyses into actionable recommendations and compelling business narratives for technical and non-technical audiences
- Influence product roadmaps and strategic priorities through data-driven insights and recommendations
- Mentor and support junior analysts while helping establish best practices across the analytics organization

QUALIFICATIONS

- 3+ years of experience in Analytics, Product Analytics, Data Science, Business Intelligence, or a related field
- Advanced SQL skills with demonstrated experience working with large, complex datasets
- Experience with Python, R, or other analytical programming languages
- Strong experience analyzing customer journeys, conversion funnels, and digital product performance
- Experience designing and evaluating experiments, including A/B testing methodologies
- Experience partnering with Product Managers, Engineers, and cross-functional stakeholders to drive business outcomes
- Strong understanding of data modeling, event tracking, and analytics data architecture concepts
- Experience with BI and visualization tools such as Tableau, Looker, Power BI, or similar platforms
- Strong communication and storytelling skills with the ability to influence decisions through data
- Ability to operate effectively in ambiguous environments and independently drive projects from concept to completion
- Strategic thinker who can connect tactical analyses to broader business objectives
- Pragmatic and action-oriented; understands when to pursue perfection and when to deliver iterative value

NICE TO HAVE

- Experience in marketplace, fintech, lending, or consumer-facing digital products
- Experience working with modern data platforms such as Snowflake, Databricks, BigQuery, or Redshift
- Experience building event taxonomies, tracking plans, and measurement frameworks
- Experience leading analytics initiatives that influenced product strategy and roadmap decisions

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.

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.

Base salary: $105,000 to $115,000k depending on 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.

LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.