Job Summary

We are looking for a highly motivated Junior Data Analyst to support our business intelligence efforts by creating insightful data visualizations, conducting data analysis, and offering advice to different business units in line with business priorities. The role requires a keen analytical mind, strong problem-solving skills, and the ability to communicate complex data findings effectively

Roles and Responsibilities

• Work closely with stakeholders to understand their data needs and deliver tailored visualizations.
• Develop and maintain interactive dashboards and reports that provide clear and actionable insights.
• Interpret data trends and patterns to advise businesses on potential risks and opportunities.
• Support A/B testing and other experimentation frameworks to enhance product and business performance.
• Collaborate with cross functional teams to enhance data-driven decision making.

Requirements

• Bachelor’s Degree in Information Systems, Computer Science, Data Management, or related fields.
• Proficiency in data visualization tools such as DOMO, Power BI, Tableau, or Looker.
• Strong skills in SQL for data extraction and manipulation.
• Experience with Python or R for data analysis is an added advantage.
• Knowledge of data modelling and analytics methodologies.
• Strong problem-solving skills with the ability to interpret and translate business needs into data-driven solutions.
• Excellent communication skills with the ability to present findings to both technical and non-technical audiences.
• Detail-oriented with strong organizational skills and the ability to work in a fast-paced environment
• Strong proficiency in data visualization tools such as DOMO, Power BI, Tableau, or Looker to create insightful and interactive dashboards.
• Ability to write and optimize complex queries from SQL & NoSQL Databases for data extraction, manipulation, and transformation.
• Knowledge of Python or R for data analysis, automation, and statistical modelling.
• Experience in cleaning, structuring, and integrating data from multiple sources for analysis.
• Understanding of statistical techniques, A/B testing, and predictive modeling to drive data-driven business decisions.