Job Description

Statistician for Retail Stock Shrinkage Analysis

We are currently seeking an experienced statistician to join our team as we aim to enhance our stock management systems and reduce stock shrinkage. If you have a strong background in statistics and a passion for data analysis, we want to hear from you!

Duties and Responsibilities

- Develop statistical models and methodologies to analyze stock shrinkage within the retail outlet.
- Utilize advanced statistical techniques to identify trends, patterns, and potential causes of stock shrinkage.
- Collaborate with the inventory management team to gather relevant data and ensure accurate reporting.
- Interpret statistical findings and present actionable recommendations to senior management.
- Assist in the development and implementation of strategies to minimize stock shrinkage, including process improvements, employee training, and targeted audits.

Qualifications and Experience

Bachelor's degree in Statistics, Mathematics, or related field
- Proven experience working as a statistician, preferably within a retail or inventory management environment.
- Proficient in statistical software such as R, Python, or SAS will be an added advantage though not mandatory.
- Strong analytical thinking and problem-solving skills with the ability to interpret complex data sets.
- Excellent verbal and written communication skills to present findings and recommendations to various stakeholders.
- Detail-oriented and able to work with large amounts of data accurately.
- Ability to work independently and as part of a team.

Benefits:
- Competitive salary commensurate with experience and qualifications.
- Comprehensive health benefits package.
- Opportunities for career development and growth within the organization.
- Collaborative and supportive work environment.
- Access to the latest tools and technologies to enhance your statistical analysis capabilities.

How to Apply

To apply, please submit your cv along with a cover letter highlighting your relevant experience and statistical achievements. We thank all applicants for their interest; however, only selected candidates will be contacted for an interview.

Apply to - email : [email protected] or WhatsApp
+263 71 328 4153