Overview of the role
The Data Analyst is responsible for transforming large datasets into meaningful insights that support strategic business decisions. The role focuses on developing dashboards, performing advanced data analysis, and ensuring data quality using tools such as Power BI, Python, and SQL.
What you will do
- Design and maintain interactive dashboards and reports using Power BI to track key performance indicators.
- Perform data extraction, cleaning, transformation, and automation using Python.
- Integrate and manage data from multiple sources to ensure consistency and accuracy.
- Conduct in-depth analysis to identify trends, patterns, and insights supporting business objectives.
- Collaborate with stakeholders to understand analytical needs and translate them into technical solutions.
- Maintain strong data governance and validation processes to ensure reliability of data.
- Develop automated reports and support business presentations with data insights.
Required Skills to be successful
- Strong proficiency in Power BI dashboard development and visualization.
- Advanced Python skills for data analysis and automation.
- Good understanding of SQL and relational databases.
- Strong analytical thinking and problem-solving abilities.
- Ability to work with large and complex datasets.
- Effective communication and stakeholder management skills
What equips you for the role
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields.
- 23 years of experience in data analytics, business intelligence, or similar analytical roles.
- Experience with Power BI, Python, SQL, and data visualization tools.
- Exposure to ETL pipelines and data engineering practices is an added advantage.
- Retail Industry Operational Understanding
- Proficient In English
Behavioral Competencies
- Strong analytical mindset and attention to detail.
- Ability to translate complex data into clear insights.
- Effective communication with both technical and non-technical stakeholders.
- Collaborative and stakeholder-oriented working style.
- Proactive and solution-driven approach to problem solving.
