Data Analyst

As a Data Analyst, you will be responsible for converting complex data into actionable insights to support business decision-making. Your role will involve analyzing and interpreting large datasets, creating reports and visualizations, and working closely with various teams to identify trends and opportunities. You will use your analytical skills to provide recommendations that drive strategic objectives and enhance overall performance.

Roles and Responsibilities:

• Support business decisions by - formulating hypothesis, structuring the problem, analyse relevant data to verify hypothesis and prepare documentation to communicate the results with insights
• Monitor key metrics such as revenue, gross margin, item price, conversion, customer count etc.
• Influence various teams/stakeholders within the organization (planning, category etc.) to meet goals
• Analyzing platform and category level metrics to isolate problems/strength areas to solve/leverage
• Develop & implement strong reporting formats which give a 360 degree view of the health of the portfolio
• Use statistical methods to analyze data and generate useful business reports and insights
• Work with management team to create a prioritized list of needs for each business segment.
• Work with departmental managers to outline the specific data needs for each business method analysis project

Qualifications & Experience:

• Engineering Degree from an accredited university or college.
• Work experience as a data analyst or in related analytics area for at least 18 months
• Demonstrated experience in handling large data sets and relational databases (SQL exposure a must)
• High-competency in written and verbal communication skills
• Able to work with others in a fast-paced, team environment and to interact effectively with all levels of management.
• Results oriented with excellent communication and interpersonal skills, can work individually with minimal or no supervision
• Experience with advanced MS Excel, Python or R and SQL a must

Key skills required : Statistics/Math Skills, MS Excel, Python or R, SQL, PowerBi (optional)