Position Summary
- Collaborate with retailers to enhance sales and market share
- Present key insights / recommendations to senior mgmt. & relevant teams
- Maintain Market share above predefined targets
- Resolve claim verification issues promptly
Role and Responsibilities
- Analyze market share data and provide insights / recommendations to the sales team to increase retailer’s sales potential
- Analyze store sales data to identify low performing KPIs (Key Performance Index) of the retailers and collaborate with retailers on improvement and action plans
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Determine the most suitable products to display in stores based on retail mapping and the sales characteristics of each store- Ensure actions plans are derived to maximize M/S in respective category/stores and follow up on actions in the next meetings with respective stake holders.
- Coordinate with retailers to conduct Partner RM to help improve sales in key stores by focusing on 4 Ps – Product, Place, Price, People
- Trade marketing experience to analyse competitive price movements, display status, competitive promotions, sell-out data and direct the sales teams where to take action on a weekly basis
- Manage Brand shop & Distributions store sell out analysis and provide the sales team with key insights.
- Liaise with the sales team and actively participate in Retail meeting with Retail Channel, Distributor to analyse previous sell out data and take action plans.
- Proactively seek opportunities to improve and provide quality inform action to the management and the sales team to improve promotional plan to drive higher sell out.
- Verification of Sales (Claims) by using Samsung internal system Market Communication system(MCS)
- In case of discrepancies check Electronic data interface(EDI), Point of sales system(MPOS), Supply chain management system (GSCM) and identify the issue (if any) and resolve the issue
- Upload manual data on MCS both SKU wise and IMEI/SKU which is received from the partners through KAMs
- Develop new reports and continuous improvement of existing reports
- Participate, support, or lead initiatives / projects to drive business performance and efficiencies
- Proactively communicate key variances, risks and opportunities to relevant stakeholders for corrective actions
- Organize and analyze data from available data sources to support retail reporting, projects and initiatives
- Create analysis, recommendations, and presentations to support retail initiatives and projects
- Develop standard templates, scorecards, and benchmarking capability across accounts and region
- Present retail analysis to both internal and external contacts
- Provide support and proposes recommendations for improvements to tools and information used within retail analytics
Skills and Qualifications
Requirements
- Minimum 5-7 years of experience, preferably with Mobile retail companies
- Degree in Mathematics/ Statistics/ Data Science/ Computer Science /Business /Finance
- Preferably advanced skills in business intelligence/ data visualization tools (Power BI/Tableau)
- Must be proficient with Excel, including use of pivot tables, financial functions, data analysis, auditing and additional functions; advanced formatting and analysis tools
- Must possess an understanding/ ability to perform statistical modeling and data extraction, and also provide insights and make strategic business recommendations through presentations, reports, and analyses
- Strong problem-solving and analytical skills and the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
- Market Exposure in consumer electronics retail & sales force activities
- Passion for driving business decisions through data-driven insights
- You have proven working experience as a Data Analyst or Business Data Analyst preferably in retail
- Strong communicative skills. The ability to prepare and present concise and clear results to stakeholders
- Preferably with SQL and working with databases and any scripting language (Python/R) (nice to have)
- Strong track record in delivering high impact from data through leading multiple cross-functional projects
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