Entry-Level Data Analyst Salary in Nigeria 2025: Full Details with Complete Breakdown

Overview

Entry-level data analysts in Nigeria perform tasks such as collecting, cleaning, and analyzing data, creating reports, and supporting business decision-making. These roles typically require proficiency in tools like Excel, SQL, Python, or Power BI. Salaries vary based on location, education, skills, industry, and employer type. Below is a detailed breakdown of salary data, including base pay, additional compensation, and influencing factors.

Average Salary

  • Annual Salary: The average annual salary for an entry-level data analyst in Nigeria ranges from ₦1,500,000 to ₦2,400,000 (~₦125,000–₦200,000/month).
  • Monthly Salary: Entry-level salaries typically range from ₦120,000 to ₦200,000, with a median of ₦150,000/month.
  • Hourly Rate: Based on survey data, the average hourly rate is approximately ₦1,000–₦1,500, though this varies by employer and contract type.

Salary by Location

Salaries are higher in urban centers due to demand and cost of living:

  • Lagos:
    • Average: ₦150,000–₦200,000/month (15–20% higher than other regions).
    • Range: ₦120,000–₦250,000/month, with top firms paying up to ₦300,000/month for skilled candidates.
  • Abuja: Salaries range from ₦130,000–₦200,000/month, slightly lower than Lagos.
  • Port Harcourt: Averages around ₦100,000–₦160,000/month.
  • Other Regions: Smaller cities like Ibadan or Enugu offer ₦80,000–₦130,000/month.

Additional Compensation

  • Bonuses: Approximately 40% of entry-level data analysts receive performance-based bonuses, adding ₦10,000–₦30,000/month.
  • Benefits: Common benefits include:
    • Transport allowances (~₦10,000–₦20,000/month).
    • Health insurance (HMOs) in corporate roles.
    • Training or certification sponsorships (e.g., Microsoft Power BI, Google Data Analytics).
    • Housing allowances in some multinational firms.
  • Total Pay: Including bonuses and benefits, total monthly compensation typically ranges from ₦130,000–₦230,000 in Lagos or Abuja.

Salary Distribution

  • Median Salary: Approximately ₦1,800,000 annually (~₦150,000/month), with 50% of entry-level data analysts earning below and 50% above this amount.
  • Percentiles:
    • 25th percentile: ₦1,440,000 annually (₦120,000/month).
    • 75th percentile: ₦2,160,000 annually (₦180,000/month).
  • Range: Salaries below ₦100,000/month are uncommon in urban areas, while figures above ₦200,000/month are achievable with certifications or employment at top firms.

Factors Influencing Salary

  1. Education:
    • Diploma/Certificate: ₦1,200,000–₦1,500,000 annually (₦100,000–₦125,000/month).
    • Bachelor’s Degree: ₦1,500,000–₦2,400,000 annually (₦125,000–₦200,000/month), a 20–25% increase.
    • Degrees in Statistics, Computer Science, or Data Science are preferred (60% of job postings require a degree).
  2. Certifications:
    • Certifications like Microsoft Power BI, Google Data Analytics, or Tableau can increase salaries by 10–20%.
    • Certified analysts may earn ₦150,000–₦200,000/month compared to ₦120,000/month without certifications.
  3. Location: Lagos and Abuja offer higher salaries due to higher demand and cost of living.
  4. Industry:
    • Finance, Fintech, Telecom: Pay ₦150,000–₦250,000/month due to data-driven needs.
    • E-commerce/Startups: Pay ₦120,000–₦180,000/month.
    • Public Sector/NGOs: Pay ₦80,000–₦130,000/month.
  5. Skills:
    • Proficiency in SQL, Python, R, Excel, or Power BI can boost salaries by 15–25%.
    • Soft skills like communication and problem-solving are valued for client-facing roles.
  6. Employer Size:
    • Multinational firms (e.g., PwC, MTN, Deloitte) offer ₦150,000–₦250,000/month.
    • Local startups or SMEs pay ₦100,000–₦150,000/month.
  7. Gender: A 5–8% pay gap exists, with male data analysts earning slightly more on average.

Salary Progression

  • Experience: After 1–2 years, salaries can increase to ₦200,000–₦300,000/month. With 3–5 years, mid-level roles pay ₦300,000–₦500,000/month.
  • Certifications: Adding certifications within the first year can boost pay by ₦20,000–₦50,000/month.
  • Career Path: Entry-level roles lead to positions like Data Scientist or Senior Data Analyst, with salaries of ₦3,600,000–₦7,200,000 annually within 5 years.

Job Market Insights

  • Demand: The data analytics field is growing rapidly in Nigeria, driven by digital transformation in finance, telecom, and e-commerce. Over 500 data analyst job postings were listed in Nigeria in 2024.
  • Key Employers: MTN, Access Bank, Flutterwave, PwC, and Andela are top recruiters for entry-level roles.
  • Roles:
    • Data Analyst: Analyze datasets, create visualizations (~₦120,000–₦200,000/month).
    • Business Intelligence Analyst: Focus on reporting tools like Power BI (~₦150,000–₦220,000/month).
    • Data Specialist: Support data infrastructure (~₦100,000–₦180,000/month).
  • Remote Work: Remote or hybrid roles are increasing, with salaries around ₦130,000–₦200,000/month.
  • Skills in Demand: SQL, Python, Excel, Power BI, and Tableau are critical. Knowledge of cloud platforms (e.g., AWS, Azure) adds value.

Strategies to Increase Earnings

  1. Earn Certifications: Google Data Analytics, Microsoft Power BI, or Tableau certifications can increase pay by 10–20%.
  2. Build a Portfolio: Showcase projects on GitHub or Kaggle to demonstrate skills.
  3. Network: Attend tech meetups or join online communities (e.g., Data Science Nigeria) for job opportunities.
  4. Learn Advanced Tools: Proficiency in Python, R, or cloud platforms can lead to higher-paying roles.
  5. Relocate: Move to Lagos or Abuja for 15–20% higher salaries.

Notes

  • Salaries are gross figures before tax deductions. Net salaries vary based on tax rates and benefits.
  • Data is sourced from PayScale, Glassdoor, MySalaryScale, and job boards like MyJobMag, reflecting 2024–2025 trends.
  • Outliers (e.g., ₦50,000/month or ₦300,000/month) may reflect inaccurate data or niche roles.
  • Nigeria’s tech sector growth and government focus on digital skills (e.g., 3 Million Technical Talent program) ensure strong demand for data analysts.

For further details, explore platforms like PayScale, Glassdoor, MySalaryScale, or MyJobMag.


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