Research & Data AnalystLagos Business School

• The primary purpose is to utilize data-driven approaches to enhance the organization’s understanding of market trends, customer behavior, and operational performance.
• Ultimately, the role aims to support evidence-based decision-making, leading to more informed and effective strategies that positively impact the organization’s goals and outcomes.

Essential Duties / Key Job Roles And Responsibilities

• Gather data from various sources, ensuring accuracy and completeness.
• Develop and maintain data pipelines to streamline the collection process.
• Analyze large datasets to identify trends, patterns, and correlations.
• Provide insightful data interpretations to support business strategy.
• Conduct market research to identify industry trends and competitive landscapes.
• Provide actionable insights to inform product development and marketing strategies.
• Define and monitor key performance indicators (KPIs) for different business functions.
• Set targets for KPIs and track performance against goals.
• Create visually appealing and easy-to-understand dashboards and reports.
• Utilize data visualization tools to effectively communicate findings.
• Develop and implement predictive models to forecast future trends.
• Evaluate model accuracy and refine as necessary to achieve a minimum of 85%.
• Analyze competitor data and market benchmarks.
• Provide insights to enhance competitive positioning and market share.
• Collaborate with different departments to understand data needs and provide relevant insights.
• Act as a liaison between technical and non-technical teams.

Qualifications

• Bachelor's Degree in Statistics, Data Science, Economics, or a related field; master’s Degree.

Professional Qualification:

• Relevant data Analysis Certifications.

Experience:

• Minimum of 4 years in Research and Data Analyst.

Required Competencies:

• Proven experience in data analysis and research
• Proficiency in statistical analysis tools (e.g., R, Python) and data visualization tools (e.g., Tableau)
• Strong understanding of database management and SQL
• Excellent communication and presentation skills
• Ability to translate complex data into actionable insights.
• Detail-oriented with strong problem-solving skills
• Flexibility and ability to work under pressure.
• Excellent communication skills.