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Data Analyst

Athena Institute of Business and Technology (AIBT)
Nigeria (Remote) Posted Oct 20, 2026
Remote

About this role

Data Analyst at Athena Institute of Business and Technology (AIBT)

Athena Institute of Business and Technology (AIBT) is building Africa’s next generation of business, policy, and tech leaders, through flexible, practical, and impact-driven learning.

We are recruiting to fill the position below:

Location: Nigeria (Remote)

Employment Type: Full-time

Job Description

  • We are seeking a detail-oriented and analytical Data Analyst to collect, process, analyse, and interpret data to support informed business decisions and improve organisational performance.
  • The successful candidate will transform complex datasets into meaningful insights, reports, dashboards, and recommendations that support strategic planning, operational efficiency, and business growth.
  • The ideal candidate should possess strong analytical and problem-solving skills, demonstrate proficiency in data analysis tools, and communicate findings effectively to both technical and non-technical stakeholders.

Key Responsibilities

  • Collect, clean, validate, and organise data from multiple sources to ensure accuracy, consistency, and reliability.

  • Analyse structured and unstructured datasets to identify trends, patterns, performance gaps, and opportunities for improvement.

  • Develop and maintain dashboards, reports, and visualisations using tools such as Microsoft Power BI, Tableau, or Excel.

  • Use SQL and other relevant analytical tools to extract, manipulate, and analyse data.

  • Prepare periodic reports and present actionable insights to management and relevant stakeholders.

  • Monitor key performance indicators (KPIs) and evaluate organisational performance against established targets.

  • Identify data quality issues and recommend appropriate corrective measures.

  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

  • Conduct trend analysis, comparative analysis, and basic statistical analysis to support forecasting and planning.

  • Maintain accurate documentation of data sources, analytical methodologies, reports, and processes.

  • Ensure the confidentiality, security, and appropriate use of organisational data.

  • Continuously improve data collection, reporting, and analytical processes to enhance efficiency and decision-making.

  • Education and Qualifications

  • Bachelor's Degree or HND in Statistics, Mathematics, Economics, Computer Science, Data Science, Information Technology, Business Analytics, or a related discipline.

  • Relevant certifications in data analytics, Microsoft Power BI, SQL, Tableau, or related tools will be an added advantage.

  • Additional training in statistics, business intelligence, or data visualisation is desirable.

  • Equivalent practical experience and demonstrable analytical skills may be considered.

Experience

  • 2–3 years of relevant experience in data analysis, reporting, business intelligence, or a related role.
  • Demonstrable experience working with datasets, preparing reports, and developing dashboards.
  • Practical experience using Excel and at least one data visualisation tool, such as Power BI or Tableau.
  • Experience writing SQL queries and working with databases is desirable.
  • Evidence of previous analytical projects, reports, or dashboards will be an advantage.
  • Experience supporting management decisions through data-driven insights is preferred.
  • Candidates with strong analytical foundations, relevant project experience, and a demonstrable portfolio may be considered even if they do not meet every experience requirement.

Required Skills and Competencies:

Technical Skills:

  • Proficiency in Microsoft Excel, including formulas, pivot tables, data cleaning, and reporting.
  • Working knowledge of SQL for querying and manipulating databases.
  • Experience with data visualisation tools such as Power BI or Tableau.
  • Knowledge of statistical analysis, data interpretation, and analytical techniques.
  • Familiarity with data cleaning, validation, transformation, and quality assurance.
  • Basic knowledge of Python or R for data analysis is an advantage.
  • Understanding of relational databases, data structures, and reporting systems.
  • Ability to prepare clear, accurate, and visually effective reports and dashboards.

Professional Skills:

  • Strong analytical and critical-thinking abilities.
  • Excellent attention to detail and commitment to data accuracy.
  • Effective written and verbal communication skills.
  • Ability to translate complex data into clear, practical recommendations.
  • Strong organisational, time-management, and problem-solving skills.
  • Ability to work independently and collaboratively within a team.
  • Professional integrity and a strong commitment to data confidentiality.

Application Closing Date

27th October, 2026.

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