Sr Analyst - Retail
Catalina
San José, Provincia de San José
hace 1 día

Our Team

The Retail Analytics team is responsible for providing analyses, insights and recommendations that address the business needs of the Catalina retail sales team or the retail client, in support of internal strategic projects and external retailers.

These analyses, insights and recommendations whether based on standard reports or custom analyses should serve as the basis for discussions with the retail sales team and client, provide actionable insights and recommendations that address client strategies, initiatives, and objectives.

The position reports to the Executive Director of Retail Analytics.

Responsibilities

Meet the retail sales team and client’s analytical needs by

Providing analytical insights that identify and quantify business opportunities and lead to improved shopper campaign performance and new retailer initiatives

Providing targeting solutions that optimize the client’s strategies and consumer value propositions

Evaluating performance of targeted shopper campaigns using appropriate analyses

Performing ad hoc custom analyses

Present analytic insights, results, and recommendations to internal analytics and business development teams in a clear and compelling manner

Work with the Executive Director of Retail Analytics and the retail sales team to build relationships with key contacts at this key client.

Qualifications

Bachelor’s Degree in Statistics, Math, Business Analytics or other related quantitative fields (Data Science, etc.) required, with minimum of 1 year of experience using Python or R in a quantitative, analytical capacity

Extensive experience with SQ

Strong command of quantitative methods and statistical applications

Ability to rapidly develop sufficient familiarity with proprietary data systems and IT infrastructure to extract data needed to support quantitative research projects

Excellent communication and presentation skills

Proficient in Microsoft Office Software

Excellent communication and presentation skills

Preferred Qualifications

Master’s Degree in Statistics, Math, Business Analytics or other related quantitative fields (Data Science, etc.), with minimum of 1 year of experience using Python or R in a quantitative, analytical capacity

Modeling and segmentation experience a plus

Experience in a CPG, retail or data-driven environment helpful

Working experience with PySpark a plus

Experience analyzing digital promotional data a plus

Advanced Python development a plus

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