Analysis Reporting Specialist

BRF Medya Reklam - Analysis Reporting Specialist

BRF, founded in 2009, is a direct marketing agency dedicated to enhancing clients' sales and brand value. The company's main businesses are retail and events, and it has partnerships with world-leading organizations in various categories, including consumer electronics, mobile phones, FMCG, banking, and healthcare.

We are looking for an analytical and patient Analytics & Reporting Specialist who will bring their attention to detail and love for data to be part of our dynamic, cool, fun-to-work organization for our business partner in Eyüp/Flatofis.

Objectives

• Act as the main point of contact between the Marketing and Sales team for any RM (Retail Management) Projects in the TV Department.
• Coordinate all RM activities between Field Force, PM, Sales Team, and Training Team.
• Responsible for store & SKU data analysis and Promoter initiatives.
• Optimize SKU allocation and KPIs to drive maximum store sellout capability.
• Engage with Sales & PM teams to provide appropriate guides/tools/improvements to increase all aspects of the team’s business processes and efficiency.

Key Activities

• Support all RM Projects in the TV Department.
• Support online channel retail visibility.
• Manage Campaign Marketing on Samsung TV Platforms and provide the necessary information flow to PM and Trade teams.
• Monitor RM KPIs (Run Rate, Dead SKU) weekly, and prepare regular (monthly/quarterly) RM reports.
• Conduct SKU Optimization & Efficiency Analysis (e.g., Account SKU candidate selection and suggestion).
• Perform regular retail mapping responsibilities (coordinate and conduct store mapping based on data provided by the Field Force team).
• Organize and lead weekly RM Day meetings with Field Force and Sales teams.
• Distribute action plans based on prepared reports, then follow up and track results.
• Report weekly and monthly sell-out results.
• Keep the software used by the Field Force team constantly updated and make updates according to needs.

• Bachelor's degree or equivalent education (preferably in Engineering, Statistics, or Mathematics).
• Excellent skills in Microsoft Office packages, particularly Excel.
• Strong numeracy skills.
• Ability to interpret and produce results by establishing meaningful relationships between tables and data.
• Strong verbal, written, and presentation skills.
• Strong attention to detail.
• Fluent in English.
• Proven team player behavior.
• Proven team management skills.
• Ability to work within deadlines.
• Comfortable working in a fast-paced environment.