Data Analyst

Job Detail

Qualifications/Experience

Bachelor’s degree in Data Analytics, Mathematics, Financial Engineering, Computer Science, Information Management or Statistics.
Data analytics certifications will be an added advantage.
Experience using tools such as SQL, Microsoft PowerBI, Tableau, Python, Jupyter Notebooks and Microsoft Excel.
A minimum of 2 years working experience as a Data Analyst, Business Analyst, Financial Analyst or a related field.

KEY RESULT AREAS

Work with data scientists to identify opportunities for improvement.
Analyze, interpret and present data in visual format that conveys useful insights, that are easily understood and actionable e.g. Dashboards.
Collaborate with different team members to collect and analyze data.
Establish KPIs to measure the effectiveness of business and business decisions.
Continuously review and identify data integrity issues that may require cleansing.
Create presentations and reports based on recommendations and findings.
Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.
Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary.
Assess new and emerging technologies to ensure existing tools and techniques remain relevant in performing this role.

TECHNICAL EXPERTISE

Can use data mining techniques in discovering patterns in large quantities of data for further analysis and to reach sound conclusions.
Conducts high quality and honest analysis of information and data to aid in problem solving.
Execution of data preparation, validation, profiling, auditing and data cleansing
activities.
Explore, Interpret and analyse data using statistical tools and techniques Working knowledge of data analysis and visualization tools.
Significant attention to detail and an ability to quickly spot and fix problems.
Understands that different situations may call for different skills and approaches, works to strengths and compensates for weaknesses.
Knows what to measure and how to measure so that complex processes can be refined, and more can be achieved with fewer resources.