Data Analyst at Amy Consulting

Key Responsibilities:

Data Collection & Management:

• Gather, clean, and structure large datasets from various sources (internal databases, APIs, external reports, etc.).
• Maintain and manage databases using SQL, Excel, or other relevant tools.

Data Analysis & Interpretation:

• Conduct statistical analysis to identify trends, patterns, and correlations.
• Interpret data to support strategic decision-making and business growth.
• Perform predictive and prescriptive analytics to forecast business outcomes.

Data Visualization & Reporting:

• Develop dashboards and reports using tools like Power BI, Tableau, or Google Data Studio.
• Present findings and insights to management and stakeholders in a clear, actionable format.

Performance Monitoring:

• Track key performance indicators (KPIs) and business metrics.
• Identify opportunities for improvement based on data insights.

Collaboration & Strategy Development:

• Work with various teams (marketing, finance, operations, IT) to understand data needs and improve business processes.
• Provide recommendations based on data insights to optimize efficiency and profitability.

Qualifications & Requirements:

Education:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.

Experience:

• 3–5 years of experience in data analysis, business intelligence, or a related role.

Technical Skills:

• Proficiency in SQL, Python, R, or Excel (advanced functions, pivot tables, macros).
• Experience with data visualization tools like Power BI, Tableau, or Google Data Studio.
• Knowledge of statistical methods and predictive modeling.
• Familiarity with ETL (Extract, Transform, Load) processes and database management.

Analytical & Problem-Solving Skills:

• Strong ability to analyze complex datasets and extract meaningful insights.
• Critical thinking and attention to detail.

Communication Skills:

• Ability to translate data findings into clear, actionable recommendations for stakeholders.
• Strong verbal and written communication skills.

Preferred Certifications:

• Google Data Analytics Certification, Microsoft Certified: Data Analyst Associate, or other relevant certifications.

Preferred:

• Experience working in Nigerian or African markets.
• Familiarity with local business environments and economic trends.
• Experience in fintech, e-commerce, banking, or a fast-paced digital industry.