Data Analyst at Esoko

Full Time Job @Esoko Enterprise in IT & Telecoms Share this job

Job Detail

  • Job ID 73904
  • Career Level  Others
  • Experience  3 Years
  • Gender  Any
  • Qualifications  Bachelor's Degree
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Job Description

Data Analyst

Esoko

Employment Type: Full-Time
Location: Accra, Ghana
Application Deadline: 29 July 2026

About Esoko

Esoko is an innovative technology company that leverages digital solutions and data-driven insights to improve decision-making, enhance operational efficiency, and create sustainable impact across industries. Through technology, analytics, and innovation, Esoko empowers organizations and communities with actionable information that drives growth and measurable results.

We are looking for a highly analytical and detail-oriented Data Analyst to join our growing team. This is an exciting opportunity for a professional who enjoys transforming data into meaningful insights that support strategic business decisions and continuous improvement.

Position Overview

The Data Analyst will collect, analyze, and interpret data from multiple sources to generate insights that support business performance and decision-making. The successful candidate will work closely with cross-functional teams to develop dashboards, automate reporting, identify trends, and provide analytical recommendations that drive operational and commercial success.

Key Responsibilities

The Data Analyst will:

  • Collect, clean, validate, and analyze data from multiple internal and external sources.
  • Develop dashboards, reports, and data visualizations that communicate meaningful business insights.
  • Identify trends, patterns, risks, and opportunities within large and complex datasets.
  • Translate business questions into analytical requirements and actionable recommendations.
  • Monitor key performance indicators (KPIs) and prepare regular performance reports.
  • Support management and business teams with data-driven insights to improve decision-making.
  • Ensure data accuracy, consistency, quality, and integrity across reporting systems.
  • Conduct statistical analyses and develop models to support forecasting and business planning.
  • Collaborate with Product, Technology, Operations, Finance, Commercial, and Project teams to deliver data solutions.
  • Automate recurring reports and improve data collection, reporting, and analytical processes.
  • Prepare clear reports, dashboards, and presentations for both technical and non-technical stakeholders.
  • Maintain accurate documentation for datasets, dashboards, reports, and analytical processes.

Qualifications & Experience

The ideal candidate should possess:

  • A Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Information Systems, Engineering, or a related field.
  • A professional certification in Data Analytics, Business Intelligence, or a related discipline will be an added advantage.
  • A minimum of three (3) years’ relevant experience in Data Analytics, Business Intelligence, Research, or a similar analytical role.
  • Demonstrated experience analyzing complex datasets and delivering actionable business insights.
  • Experience developing dashboards, management reports, and business performance metrics.
  • Strong proficiency in Microsoft Excel and SQL.
  • Practical experience using data visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms.
  • Practical knowledge of Artificial Intelligence (AI) and Generative AI tools for data analysis, reporting automation, and insight generation will be an advantage.
  • Experience with Python, R, or other analytical programming languages will be an added advantage.
  • Familiarity with database systems, statistical analysis, and data management best practices.

Knowledge, Skills & Competencies

The successful candidate will demonstrate:

  • Strong analytical, numerical, and problem-solving abilities.
  • Excellent attention to detail and commitment to data quality.
  • The ability to interpret complex datasets and communicate findings clearly.
  • Strong reporting, dashboard development, visualization, and presentation skills.
  • Excellent stakeholder management and cross-functional collaboration skills.
  • Curiosity, adaptability, initiative, and a continuous improvement mindset.
  • Strong organizational skills with the ability to manage multiple priorities and meet deadlines.

How to Apply

Apply online by clicking the Application Button.

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