Headquartered in Ohio, Erie Home is a leading direct-to-consumer provider of home improvement products and services. Growing revenue by nearly 10x over the past 5 years, and with 21 office openings in the past 12 months alone, Erie Home is one of the fastest-growing, technology-enabled home solutions brands in North America.

This rapidly-expanding company is shaking things up in the replacement sector of home improvement and has proven itself to be a true industry pioneer by prioritizing an organic growth strategy fueled with key training systems, personnel development and strategic planning.

From small beginnings years ago as a single store local business, to a company now eclipsing $450M in annual revenue, Erie Home finds its geographic footprint stretching across 40 states staking operations in over 75 U.S. cities as the organization embarks on new product, vertical integrations to take to market. As the nation’s largest volume roofing replacement contractor, Erie Home now sets its sights on foundational waterproofing.

Home ownership is a significant investment for one to make, a shelter, a place to call home, and a place where families are raised and memories are made. Erie Home paves the way as an unparalleled, direct-to-consumer leader, shaping its concentration as the premier brand and provider of complete home protection.

Collectively, both consumers and employees alike make Erie Home the highest rated home improvement brand in the U.S. Outstanding ratings across all major review sites including Google, BBB, GuildQuality, Trust Pilot, Birdeye, Indeed and Glassdoor give the brand a trusting reputation from every angle.

As Erie Home looks ahead to continue its vast nationwide market-expansion, it seeks like minded people who want to partner in a journey of enormous growth and opportunity.

Erie Home is looking for a detailed-oriented analytics practitioner to join our team as a Data Analyst. This position will concentrate on gathering, analyzing, and interpreting data in support of enterprise initiatives aimed at improving business processes and optimizing the customer experience. The role requires working closely with cross-functional teams to integrate findings into existing workflows that will advance business strategies.

Responsibilities

• Support data-driven projects from inception to completion, including structured and unstructured data collection, cleansing, transformation, and visualization.
• Organize and analyze large datasets from various sources including sales data, advertising performance, market trends, and operational metrics.
• Proactively analyze digital metrics, including website unique visitors, email clicks, paid media click-thru-rate, social engagements, and revenue, to identify trends, behaviors, opportunities, risks and anomalies.
• Advance A/B testing framework; conduct experiments to measure efficacy.
• Partner with business intelligence team to maintain and expand reporting solutions for monitoring key metrics.
• Collaborate with cross-functional teams including marketing, sales, operations, and finance to understand business requirements and translate them into actionable analytics solutions.
• Conduct ad hoc analysis and provide data-driven recommendations to enable quick adjustments in response to market changes.
• Stay current with industry trends and best practices in data analytics, continuously enhancing our analytical capabilities and tools.

Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
• Proven experience as a Data Analyst or related role, preferably in a B2C setting.
• Proficiency in SQL for data extraction and manipulation; experience with Python, R, or other programming languages is a plus.
• Experience with data visualization tools such as Power BI or similar.
• Experience in web analytics through tools such as GA4, Adobe Analytics, or similar. Prior experience with marketing attribution and incrementality is a plus.
• Strong quantitative skills, attention to detail, and a high aptitude for problem solving.
• Ability to communicate complex findings and technical concepts to non-technical stakeholders effectively.