Data analyst

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

As a Data Solutions Analyst, you’ll play a key role in supporting the development of enterprise-wide analytics tools and insights. Reporting to the Data Solutions Manager, you’ll help translate business needs into data-driven solutions, build dashboards and reports, and contribute to the continuous improvement of our data ecosystem. Exceptional communication skills are essential, as you will need to share complex information in ways that are clear and engaging for both technical and non-technical audiences. This is an ideal opportunity for someone who’s passionate about solving problems with data, eager to grow in a fast-paced, collaborative environment, and dedicated to building strong working relationships across teams.

Responsibilities:

• Own small-scale data projects or components of larger initiatives, with guidance from senior team members, that empower teams to make data-informed decisions

• Perform exploratory analysis to uncover trends in customer behavior, product performance, and operational efficiency

• Apply analytical thinking and sound judgment to identify, investigate, and resolve data-related issues, ensuring accuracy and reliability in reporting

• Work alongside experienced stakeholders to understand business needs, and learn to translate them into clear technical requirements

• Demonstrate an understanding of how data initiatives contribute to broader business goals and proactively seek opportunities to drive impact

• Independently monitor and report on performance metrics, escalating issues as needed and identifying opportunities for improvement

• Share insights in a clear, engaging way that resonates with both technical and non-technical audiences, demonstrating strong communication skills in both written and verbal forms

• Contribute to the development of self-service data capabilities and reporting standards

• Stay current on data tools and technologies, bringing new ideas to the team, including advancements in AI and GenAI

• Grow your career by taking part in mentorship, training, and hands-on projects to build your skills in SQL, BI tools, analytics best practices, and emerging AI/GenAI applications

Qualifications & Attributes

• Bachelor's degree in Business Analytics, Computer Science, Information Systems, or a related field - or equivalent experience

• Greater than 2 years of experience in data analysis, business intelligence, or a related role

• Basic familiarity with SQL and data visualization tools (e.g., Power BI, Tableau, Looker)

• Proficiency in Microsoft Excel, including advanced functions and data analysis features

• Excellent communication skills and a collaborative, team-first mindset, with proven ability to explain complex topics to diverse audiences

• Strong analytical thinking and attention to detail

• Curiosity, grit, adaptability, and a desire to learn and grow

• Exposure to cloud platforms and modern data tools is a plus, but not required

• Comfort with artificial intelligence (AI) and generative AI (GenAI) tools and concepts, with a willingness to learn and apply these technologies in real-world scenarios

• Relocation not available for this position
  
  
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Benefits & Perks:

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YETI is proud to be an Equal Opportunity Employer.

Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at

yeti.com/esg.html.

All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.

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