Retail Intelligence Strategist
6 days ago
About Styleverse Lifestyle Pvt Ltd
We offer a competitive salary package, including an estimated annual salary of ₹1,200,000 to ₹2,500,000, depending on experience and qualifications.
Job Description:
The Retail Intelligence Strategist will play a key role in leveraging data analytics, market insights, and consumer trends to enhance retail strategies, optimize operations, and drive business growth. This role involves collaborating with cross-functional teams, utilizing advanced tools, and presenting actionable recommendations to senior leadership.
Key Responsibilities:
- Analyse retail data, including sales, customer behaviour, and market trends, to identify opportunities and challenges.
- Develop dashboards and reports to track key performance indicators (KPIs) and provide insights for decision-making.
Market and Competitor Analysis:
- Monitor industry trends and competitor activities to inform strategies and maintain a competitive edge.
- Conduct market research to understand consumer preferences and emerging retail technologies.
Strategy Development and Execution:
- Collaborate with leadership to create data-driven strategies for pricing, promotions, and assortment planning.
- Support store performance optimization through insights on foot traffic, layout effectiveness, and inventory management.
Qualifications and Skills:
- 4-5 years of relevant experience in retail marketing in apparel sector.
- Bachelor's degree in Business, Marketing, Data Science, or a related field (Master's preferred).
- Proven experience in retail analytics, market research, or a related role.
- Strong analytical skills with expertise in tools such as Tableau, Power BI, Excel, or SQL.
- Familiarity with machine learning or statistical modelling techniques is a plus.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong attention to detail and problem-solving abilities.
Key Competencies:
- Strategic Thinking
- Data-Driven Decision Making
- Market and Consumer Insight Expertise
- Technological Proficiency
- Collaborative Leadership
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