Loss Prevention Analyst
Columbia Sportswear CompanyMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level analytics role in metro market with common BI/SQL skills increases candidate competition.
Requires retail loss prevention domain knowledge but uses transferable analytics skills, so moderate cross-industry fit.
Explicit 3–6 years requirement plus BI/SQL and domain expertise makes shortlisting moderately strict.
Job Description
Structured overview of role & requirementsAbout This Role
Analyze retail transactional data and exception-based reports to identify fraud, theft, and operational risks across stores and regions.
Develop reports, investigative summaries, and dashboards (using Power BI/Tableau) to communicate findings and support Loss Prevention leadership.
Partner with North America–based Loss Prevention teams to deliver actionable insights and case support.
Minimum Requirements
3–6+ years of experience in data analysis, fraud detection, loss prevention, or retail operations.
Strong proficiency in Microsoft Excel including pivot tables and formulas.
Experience with data visualization tools such as Power BI and/or Tableau.
Work Experience Required: 3–6+ years in relevant fields; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Demonstrates strong investigative and analytical skills with attention to detail, comfortable working with large datasets to identify patterns and anomalies.
Experienced collaborating with global and North America–based teams implying ability to operate in cross-cultural environments.
Proficient in building data visualizations and refining analytical methods to improve fraud detection accuracy and reduce false positives.