Hybrid Business Intelligence Analyst chez Sock Club

Business Intelligence Analyst

About Sock Club

Sock Club is a growing custom promotional products company focused on delivering exceptional service and speed in an industry known for the opposite. Our team of 65+ people is based in Austin, TX, and we pride ourselves on being a pleasure to work with while maintaining strong operational efficiency.

About the Role

We're seeking a BI professional who excels at democratizing data across organizations. You'll build Sock Club's analytics foundation and then focus on enabling all teams to become data-driven through self-service reporting, training, and scalable BI solutions. While you'll initially set up our data infrastructure, your primary mission is making data accessible and actionable for everyone. This role requires 3+ days/week in our Austin, TX office (remaining 2 days can be remote).

Primary Responsibilities

• Data Democratization (70% of role): Train non-technical teams to build their own reports and analyses in Sigma
• Self-Service Analytics: Design intuitive data models and dashboards that teams can easily understand and modify
• Cross-Functional Partnership: Work directly with Marketing, Sales, Operations, and Product teams to understand their analytical needs
• Analytics Training: Conduct workshops and create documentation to build data literacy across the organization
• Stakeholder Enablement: Transform complex data into business-friendly insights and recommendations

Technical Foundation Work (30% of role)

• Establish cost-effective data pipelines from Hubspot, APIs, and other sources to and from Snowflake
• Build business-friendly data structures in Sigma that allow teams to easily find and use data without technical knowledge
• Optimize Snowflake spend and performance
• Create and maintain data governance standards

Ideal Candidate Profile

• Enablement Focus: You get energized by teaching others and building systems that scale beyond yourself
• Business Partnership: You've successfully worked with non-technical stakeholders to solve business problems with data
• Technical Foundation: Strong enough in Snowflake/Sigma/SQL to build reliable infrastructure, but your passion is the business application

Note: While this role involves some technical infrastructure work initially, we're specifically looking for someone excited about the people and process side of analytics. If you prefer heads-down technical work, this may not be the right fit.

Required Experience

• 4+ years in BI roles with significant stakeholder-facing responsibilities
• Proven track record of building self-service analytics capabilities
• Experience training non-technical teams on BI tools
• Strong Snowflake and Sigma experience (or extensive experience with similar modern BI tools and willingness to learn Sigma quickly)
• Advanced SQL and data modeling skills
• Excellent communication and teaching abilities

Preferred Background

• Previous experience scaling analytics at growing companies
• Experience with change management and user adoption initiatives
• Background in data governance and best practices

What Success Looks Like

• Teams across the organization regularly create their own reports without your direct involvement
• Reduced time-to-insight for business questions
• High user adoption rates of self-service tools
• Cost-effective and reliable data infrastructure

Growth Opportunity

This role has the potential to evolve into a more senior data leadership position as the company continues to grow. We're looking for someone who can grow with us and eventually lead a larger analytics function.

Compensation & Benefits

• Competitive salary: $85,000 - $110,000 (based on experience)
• Health insurance, dental, and vision
• 401(k) with company match
• Flexible PTO policy

Ready to join a growing team that's improving the promotional products industry through data-driven decision making?

Please apply with your resume and a brief note about why you're excited about enabling others through analytics. Bonus points if you can share examples of self-service BI systems you've built or teams you've trained.