Benefits:

401(k)

401(k) matching

Bonus based on performance

Competitive salary

Dental insurance

Employee discounts

Health insurance

Opportunity for advancement

Paid time off

Training & development

Vision insurance

Wellness resources

At Sport Clips, our mission is to deliver data-driven insights that shape marketing strategy, optimize and evaluate campaigns, and enhance client engagement. We do this by leveraging analytics, machine learning, and consumer research to support smart, scalable marketing decisions.

As a key member of the Data & Insights team, the Marketing Analyst is an individual contributor role responsible for developing marketing analytics solutions, delivering actionable insights, and supporting data-informed decision-making across the organization. This role works closely with marketing leadership, data engineers, analysts, media agencies, and research partners. It requires technical expertise, strong problem-solving skills, and the ability to turn data into meaningful recommendations that influence strategy and drive results.

Key Responsibilities:

Collaborate with cross-functional teams to define key marketing KPIs and success metrics.

Build and maintain dashboards and reports using tools like Power BI or Tableau.

Conduct advanced analyses using SQL, Python or R to support campaign performance, customer insights, segmentation, and attribution modeling.

Partner with media agencies and research vendors to evaluate marketing effectiveness across digital, CRM, and promotional channels.

Lead analysis on customer lifetime value (CLV), brand funnel performance, and marketing ROI.

Support the design and interpretation of consumer surveys and other primary research initiatives.

Translate complex data into clear, compelling presentations for marketing and business stakeholders.

Key Qualifications:

Bachelor’s or Master’s degree in Marketing Analytics, Statistics, Computer Science, Business, or related field.

3–5 years of experience in marketing analytics, marketing science, or a related field.

Proficiency in:

SQL for data querying and preparation

Python or R for statistical analysis and machine learning

Power BI or Tableau for data visualization

Experience with marketing attribution, CLV analysis, and brand tracking methodologies.

Knowledge of media mix modeling and digital marketing performance measurement.

Familiarity with designing and analyzing consumer research.

Strong communication skills, with the ability to turn data into actionable business insights.