Job Description :
- 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 clear 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.
Comprehensive insurance plans.
Collaborative and supportive work environment.
Chance to learn and grow with a talented team.
A positive and fun work environment.
Required Skills :
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 clear 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.
Key Skills
Apparel Merchandising,Freelancing,Courier Delivery,Marine Services,Air Conditioning
Employment Type : Full Time
Experience : years
Vacancy : 1