Data Analyst - Mid Level at Lumos Nigeria

Lumos is a market leader in Africa in offering affordable and clean solar energy to a pan-African potential market of 1.3 billion customers. Lumos Group has existed since 2013 and has deployed more than 200,000 solar home systems to SMEs and retail customers.
In the last 1.5 years, Lumos has developed a new business strategy addressing both the changing customer needs and challenges in the industry. The change in strategy is successful and has resulted in a solid stream of sales. Based on this result, management has decided to expand the sales in 2024 and accelerate the growth.

We are recruiting to fill the position below:

Job Title: Data Analyst - Mid Level

Location: Apapa Expressway, Lagos
Employment Type: Full-time

Role Overview

• We are seeking a proactive and insight-driven Data Analyst with strong hands-on experience in Python, SQL, and Advanced Excel. 
• This role is ideal for someone who thrives in a fast-paced environment, takes full ownership of data problems, and transforms raw data into meaningful insights that drive business decisions. 
• You will work with minimal supervision and play a key role across data extraction, transformation, reporting, and analytics.

Key Responsibilities

• Extract, clean, transform, and validate data from multiple sources using SQL, Python, and Excel
• Design and maintain efficient ETL processes to support reporting and analytics needs
• Build insightful reports, dashboards, and analytical outputs that support operational and strategic decisions
• Perform exploratory data analysis to identify trends, patterns, risks, and opportunities
• Translate business questions into clear analytical approaches and actionable insights
• Ensure data accuracy, consistency, and integrity across reports and datasets
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Continuously improve data processes, reporting efficiency, and analytical methods

Required Skills & Qualifications

• Strong proficiency in SQL for querying, aggregations, and performance-aware data extraction
• Practical experience using Python for data manipulation and analysis (e.g., pandas, numpy)
• Advanced Excel skills (Power Query, Pivot Tables, formulas, data modeling)
• Solid understanding of data cleaning, transformation, and basic ETL concepts
• Ability to work independently, prioritize tasks, and deliver with minimal supervision
• Strong analytical thinking with a problem-solving and solution-oriented mindset
• Excellent attention to detail and data accuracy

Preferred Attributes:

• Ownership mindset with a strong sense of responsibility for outputs and outcomes
• Comfortable working in a fast-paced, dynamic, and evolving environment
• Curious, creative, and proactive in identifying better ways to use data
• Strong communication skills with the ability to explain insights to non-technical stakeholders
• Willingness to learn new skills, grow and give back to the business in same measure

What Success Looks Like:

• Reliable, accurate, and timely reporting
• Actionable insights that influence decisions
• Improved data efficiency and reduced manual effort

Application Closing Date
31st January, 2026.