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.
Perks
· Competitive
salary and performance-based bonuses.