Assistant Manager, Retail Sales Analyst – Innovation

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
• 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 stakeholders
• Provide support and proposes recommendations for improvements to tools and information used within retail analytics

Skills and Qualifications

Qualifications:

• Minimum 5-7 years’ experience, preferably in retail.
• Degree in Mathematics / Statistics / Data Science / Computer Science / Business / Finance.
• Advanced skills in business intelligence / data visualization tools (Power BI) is a must.
• 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 modelling 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 communication skills, with the ability to prepare and present concise and clear results to stakeholders.
• Expertise 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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