Data Analyst

Company Description Growvelt is a modern career company that combines tech learning, practical experience, and hiring opportunities on one platform. The organization focuses on in-demand skills such as data analytics, Python, SQL, and machine learning, delivered through hands-on projects, mentorship, and industry-aligned programs. Growvelt Careers connects job seekers with roles, application tracking, and skills showcasing, while helping recruiters efficiently find qualified talent. Whether individuals are starting in tech, upskilling, or hiring, Growvelt provides tools and guidance to support career growth and smarter hiring. The company’s mission is to make career development and recruitment smarter, faster, and more accessible.

Role Description This is a part-time, hybrid Data Analyst role based in Abuja, with flexibility to work remotely for part of the week. The Data Analyst will collect, clean, and organize data from multiple sources to support business decisions and product improvements. Responsibilities include building reports and dashboards, performing exploratory and statistical analysis, and translating data findings into clear, actionable insights for internal teams. The role involves collaborating with product, operations, and learning teams to track program outcomes, measure user engagement, and identify growth opportunities. The Data Analyst will also contribute to improving data processes, documentation, and best practices within the organization.

Qualifications

• Strong Analytical Skills and proficiency in Data Analytics to interpret complex datasets and support data-informed decision-making.
• Solid foundation in Statistics and practical experience applying statistical methods to real-world problems.
• Experience with Data Modeling to structure data for reporting, analysis, and scalable insights.
• Effective Communication skills, including the ability to present findings clearly to technical and non-technical stakeholders.
• Hands-on experience with tools such as Excel/Google Sheets and at least one analytics or BI tool (e.g., Power BI, Tableau, Looker) is preferred.
• Working knowledge of SQL for data extraction and transformation; familiarity with Python or R for analysis is an advantage.
• Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Economics, Computer Science) or equivalent practical experience.
• Ability to work independently, manage time effectively in a part-time hybrid setting, and collaborate with cross-functional teams.
• Experience in edtech, talent platforms, or career services is a plus.

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