Responsibilities

Identifying opportunities for better data usage and new strategies to improve efficiency and performance.
Designing, maintaining, and optimizing databases and data systems.
Experience in Assemble large, complex data sets using SQL & Python.
Work closely with business users, tech team and data engineers to understand the context and meaning of all data.
Experience Collaborating with stakeholders to design and implement key reporting dashboards.
Identifying high impact analytics projects through project scoping with end users.
Using statistical methods (like SQL, R, Python) to analyze data, identify trends, patterns, and correlations, and interpret results.
Creating reports, dashboards (using tools like Power BI, Tableau), charts, and graphs to communicate findings clearly.
Responsible for involing in transforming raw data into actionable insights, ensuring data quality, and collaborating with teams to meet specific business needs, using tools like SQL, Excel, Tableau, or Power BI.

Requirements

Bachelor’s Degree or higher in Data Science, Computer Science, Statistics, Economics, Quantitative Social Science.
Must have 3-5 years of relevant experience.
Experience in analytics programming languages (e.g. Python, R).
Must have exp in E-commerce domain.
Experience in database languages (e.g. SQL).
Hands-on experience with data visualisation software like Google Data Studio, Tableau.
Must have exp in Cloud technologies.

Data Analyst