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Sr Data Analyst - Crecera BrandsSportsman's GuideMinneapolis, Minnesota, United States
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Sr Data Analyst - Crecera Brands

Sportsman's Guide
  • US
    Minneapolis, Minnesota, United States
  • US
    Minneapolis, Minnesota, United States

Über

ABOUT THE COMPANY Crecera Brands is the driving force behind Sportsman’s Guide, Salt Strong, The Golfer’s World, Play Baseball and Play Softball, five of America’s leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com. Position Overview We are seeking a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands‑on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non‑technical audiences. Key Responsibilities Data Analysis & Insights Analyze large, structured datasets to identify trends, patterns, and opportunities Translate business questions into data‑driven analyses and actionable recommendations Design and execute exploratory and statistical analyses using Python and R Develop KPIs and metrics to monitor performance and support business strategy
Data Management & SQL Write complex, optimized SQL queries to extract, transform, and validate data Work with data warehouses (e.g., Snowflake) to manage and model data Ensure data quality, integrity, and consistency across systems
Visualization & Reporting Build interactive dashboards and reports in Tableau (or similar BI tools) Provide clear storytelling through data to influence decision‑making Automate reporting processes and improve accessibility of insights
Stakeholder Collaboration Partner with cross‑functional teams (e.g., Product, Finance, Marketing, Operations) Gather requirements and translate business needs into analytical solutions Present findings and recommendations to leadership
Advanced Analytics & Continuous Improvement Develop predictive models or advanced analytics solutions where needed Identify opportunities to improve data processes, tools, and governance Mentor junior analysts and contribute to best practices
Required Qualifications Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status) Bachelor’s degree in data analytics, statistics, computer science, economics, data science, or related field 4+ years of experience in data analytics or a related role Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools Strong experience working with data warehouses and large datasets Solid understanding of statistics, data modeling, and analytical methods Proven ability to communicate insights to business stakeholders Preferred Qualifications Experience with modern data stacks (i.e., Snowflake etc.) Experience with Adobe Analytics or Google Analytics Exposure to A/B testing, machine learning, or predictive modeling Experience in a DTC e‑commerce environment Experience mentoring or leading projects Key Competencies Analytical problem‑solving Business acumen Data storytelling & visualization Attention to detail Collaboration and influence Compensation Base Salary: $75,000 - $110,000 depending on experience and qualifications Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
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  • Minneapolis, Minnesota, United States

Sprachkenntnisse

  • English
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