Data Analyst

Department: Data & AI Department

Reporting Manager: Head of Data / Chief Data Officer (CDO)

Supervision: N/A

Location: Agence Togo Digital

Internship positions available: 2

Main Mission

The Data Analyst Intern will be responsible for: Collecting, processing, and analyzing data from digital platforms and information systems; generating insights and analyses to inform data-driven decision-making; designing interactive dashboards and Key Performance Indicators (KPIs); ensuring data quality, reliability, and consistency; collaborating with business, product, and technical teams to unlock data value; participating in the implementation of data management best practices; contributing to transforming raw data into actionable insights; and maintaining a technology watch on data analysis tools and methodologies. He/she will specifically work on data models and produce reports regarding the technological innovation ecosystem in Togo.

Responsibilities

1. Data Collection and Preparation

• Collect data from disparate sources (databases, APIs, flat files, core business systems).

• Clean, structure, and transform raw data to make it analysis-ready (data wrangling).

• Ensure data quality, consistency, and integrity throughout the pipeline.

• Document data sources, definitions, and data processing workflows.

2. Data Analysis and Exploration

• Conduct descriptive and exploratory data analysis (EDA).

• Identify relevant trends, correlations, anomalies, and insights.

• Produce analytical reports and summaries for stakeholders.

• Address ad-hoc data analysis requests from business units and project teams.

3. Data Visualization and Reporting

• Design, build, and maintain interactive business intelligence dashboards.

• Define, track, and monitor Key Performance Indicators (KPIs).

• Ensure the clarity, readability, and business relevance of data visualizations.

• Automate the generation and distribution of recurring reports.

4. Collaboration and Decision Support

• Partner closely with product, technical, and business teams.

• Translate functional business requirements into data analysis models.

• Assist internal users and stakeholders in interpreting data results and insights.

• Contribute to fostering a data-driven culture across the organization.

Required Skills

• Core Analytical Tools: Advanced proficiency in Microsoft Excel and SQL querying.

• Data Visualization: Good knowledge of BI and visualization tools (e.g., Power BI, Tableau, Metabase).

• Programming Languages: Basic knowledge of programming languages for data analysis (Python, R) is a strong asset.

• Data Handling: Ability to manipulate and process large datasets.

• Database Management: Understanding of database concepts (SQL, NoSQL architectures).

• Soft Skills: Sharp analytical mind, strong synthesis capabilities, and high attention to detail.

• Data Storytelling: Ability to simplify, popularize, and communicate data findings to non-technical audiences.

• AI Tooling: Proficiency in leveraging AI-powered productivity and coding assistants.

• Languages: Technical English (ability to read and understand technical documentation).

Preferred Education and Experience

• Education: Currently pursuing or recently completed a Bachelor’s degree (Licence / BAC+3) in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.

• Experience: Any prior experience or personal projects in data analysis / business intelligence is highly valued.

• Data Governance: Understanding of data governance and data protection principles is an asset.

• Data Engineering: Familiarity with ETL (Extract, Transform, Load) tools or data processing pipelines.

• Methodology: Experience working within an Agile environment is a plus.