Senior Data Analyst at Afrinvest West Africa Limited

Job Description:

• The ideal candidate will have a strong background in data analysis, business intelligence, and data visualization.
• You will be responsible for collecting, processing, and analyzing data to help drive informed business decisions.
• This role requires proficiency in Power BI, SQL, Python, JavaScript, Tableau, Excel, and Microsoft Access.

Key Responsibilities:

• Collect and analyze data from various sources to identify trends, patterns, and insights.
• Develop and maintain interactive dashboards and reports using Power BI and Tableau.
• Write complex SQL queries to extract and manipulate data from SQL Server, MySQL, and PostgreSQL databases.
• Utilize Python (Pandas, NumPy, SciPy, MatPlotLib) for data analysis and visualization.
• Create and automate data pipelines using Power Query and other ETL tools.
• Perform data cleaning, transformation, and validation to ensure data accuracy and consistency.
• Develop data models and perform statistical analysis to support business strategies and decision-making.
• Use Excel for advanced data analysis, including VLookup, Conditional Formatting, and Pivot Tables.
• Manage and analyze data using Microsoft Access.
• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
• Present findings and recommendations to stakeholders in a clear and concise manner.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Proficiency in Power BI (DAX, Power Query, Data Visualization).
• Strong SQL skills (SQL Server, MySQL, PostgreSQL).
• Experience with Python (Pandas, NumPy, SciPy, MatPlotLib).
• Knowledge of JavaScript for data manipulation and visualization.
• Expertise in Tableau (DAX, Data Visualization).
• Advanced skills in Excel (VLookup, Conditional Formatting, Pivot Tables, Data Visualization).
• Familiarity with Microsoft Access.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Detail-oriented with a strong focus on accuracy.

Preferred Qualifications:

• Experience with other BI tools and technologies.
• Knowledge of machine learning and predictive analytics.
• Certification in data analytics or related disciplines.