- Minimum + years of relevant experience in Retail / Marketing / Customer Analytics
- Hands-on experience in data visualization and transformation tools like PowerBI and strong SQL experience is a must.
- Knowledge and understanding of the Python programming Experience
- Proficient in coding and creating compelling presentations for senior stakeholders.
- Ability to translate a business or marketing question into a well-defined analytical plan that includes data requirements for technical resources to extract the necessary data.
- Eagerness to learn and the ability to work with limited supervision. Great interpersonal communication and influencing skills
Requirements
Responsibilities:
- Partner with business stakeholders across retail/e-commerce operations to identify key questions and data needs.
- Design and execute complex data queries using SQL to extract and analyze data from various internal and external sources.
- Develop transparent and compelling reports and interactive dashboards using Power BI to communicate data insights effectively.
- Utilize basic Python scripting to automate data manipulation and analysis tasks for increased efficiency.
- Analyze trends, identify opportunities, and develop data-driven recommendations to improve retail /e-commerce performance across areas like revenue, CRM, marketing, campaign performance, and more.
- Collaborate with cross-functional teams (e.g., marketing, IT) to ensure data accuracy and accessibility.
- Present findings and recommendations to stakeholders in a clear, concise, and impactful manner.
- Stay up-to-date on industry trends and best practices in retail analytics.
Benefits
· Competitive salary and performance-based bonuses.