Responsibilities:
1.Category Analysis: Systematically collect, analyze, and interpret sales, market share, and consumer behavior data. Utilize statistical methods and software tools such as Excel, Power BI, Python and SQL to reveal underlying trends, and opportunities for strategic category growth.
2.Category Acumen: Become proficient with ZURU’s comprehensive suite of category data sources including Nielsen, Walmart Luminate, CIRCANA, and other market data platforms.
3.Assortment Planning: In collaboration with cross-functional teams, devise and implement dynamic assortment strategies for FMCG and toys, considering market demand, competitive analysis, and seasonal influences.
4.Pricing Strategy Optimization: Perform pricing elasticity studies and apply BI techniques to understand and act upon pricing trends, competitive benchmarks, and consumer price perceptions, aiming to craft pricing strategies that bolster revenue and profitability while aligning with ZURU’s brand ethos.
5.Promotional Planning: Assess and measure the effectiveness of promotional campaigns, devising strategic initiatives to amplify sales and augment brand visibility/awareness within the FMCG and toy segments.
6.Competitive Intelligence: Monitor competitor activities, including pricing, promotions, and product launches, to identify competitive threats and opportunities for differentiation.
7.Performance Tracking and KPI Measurement: Develop and track critical KPIs using BI tools, crafting dashboards and reports to monitor category performance, gauge success against objectives, and pinpoint improvement areas.
8.Cross-Functional Collaboration: Engage closely with the marketing, sales, product development, and finance departments to align category strategies with broader business goals and ensure integrated execution.

Requirements:
1.Bachelor’s degree in data science, Marketing, Economics, or a related field, with a strong foundation in analytical principles.
2.Experience in category management, retail analytics, or related data analysis background preferred, relevant internship background in lieu of working experience is acceptable.
3.Strong analytical skills, with ability in statistical modeling, including regression analysis, cluster analysis, and programming languages such as Python.
4.Excellent communication and presentation skills, with the ability to distill complex data into actionable insights and influence cross-functional stakeholders.
5.Proven ability to drive impactful outcomes through the strategic management of product categories, such as assortment optimization, pricing analysis, and promotional planning.
6.Ability to conduct comprehensive market research, with a preference for candidates possessing knowledge of retail industry trends, competitive dynamics, and consumer preferences within the FMCG and toys categories..
7.Detail-oriented mindset with a passion for problem-solving and continuous improvement.
8.Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
9.Experience with Jira/confluence (project management) system and familiar with Scrum/Agile practices is a huge plus.