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Data Analytics Officer

Lagos, Lagos, Nigeria

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Pay
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
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What you’ll work on

Full posting
  • Collect, clean and validate data from multiple sources

  • Build dashboards, reports and visualizations of insights

  • Develop predictive models and machine learning forecasts

  • Monitor KPIs and recommend changes to business strategy

  • Ensure data work meets governance, privacy and security standards

From the employer’s posting
Collect, clean, and validate data from multiple sources to ensure accuracy and reliability.
develop dashboards, reports, and visualizations to communicate insights effectively
Develop predictive models and apply machine learning techniques to support forecasting and trend analysis.
Monitor key performance indicators (KPIs) and provide recommendations based on data insights to optimize business strategies.
Ensure compliance with data governance, privacy, and security standards.

What you’ll bring

All qualifications

Core experience

  • 3–5 years in data analysis, business intelligence or related roles
  • Bachelor's degree in Data Science, Statistics, Computer Science, Economics or related field
  • Proficiency in SQL and Python or R
  • Experience with Power BI, Tableau or similar visualization tools
  • Strong analytical, problem-solving and attention to detail
Qualification wording
Minimum of 3–5 years’ experience in data analysis, business intelligence, or related roles.
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field
Proficiency in SQL, Python/R, and data visualization tools
data visualization tools (e.g., Power BI, Tableau)
Strong analytical and problem-solving skills with attention to detail.

Tools in this posting

  • Python
  • R
  • SQL
  • Power BI
  • Tableau
Source — Tool mentions in context
The Data Analytics Officer will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The role will support strategic initiatives by leveraging data to improve operational efficiency, enhance customer experience, and inform product development. Key Responsibilities · Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. · Perform statistical analysis and develop dashboards, reports, and visualizations to communicate insights effectively. · Collaborate with cross-functional teams to identify data-driven opportunities for process improvement and business growth. · Develop predictive models and apply machine learning techniques to support forecasting and trend analysis. · Monitor key performance indicators (KPIs) and provide recommendations based on data insights to optimize business strategies. · Ensure compliance with data governance, privacy, and security standards. · Stay updated on emerging analytics tools, technologies, and best practices to enhance analytical capabilities. Requirements Qualification and Experience: · Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field; advanced degree or certifications in analytics is a plus. · Minimum of 3–5 years’ experience in data analysis, business intelligence, or related roles. · Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau). · Strong analytical and problem-solving skills with attention to detail. · Experience with big data platforms and cloud-based analytics solutions is an advantage.

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Status in our records
No longer listed
First seen by us
Jun 2, 2026 · 143 days ago
Recorded sightings
85
Last seen by us
Oct 19, 2026
Employer says posted
Dec 4, 2025

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Job description

View original posting ↗

The Data Analytics Officer will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The role will support strategic initiatives by leveraging data to improve operational efficiency, enhance customer experience, and inform product development. Key Responsibilities · Collect, clean, and validate data from multiple sources to ensure accuracy and reliability. · Perform statistical analysis and develop dashboards, reports, and visualizations to communicate insights effectively. · Collaborate with cross-functional teams to identify data-driven opportunities for process improvement and business growth. · Develop predictive models and apply machine learning techniques to support forecasting and trend analysis. · Monitor key performance indicators (KPIs) and provide recommendations based on data insights to optimize business strategies. · Ensure compliance with data governance, privacy, and security standards. · Stay updated on emerging analytics tools, technologies, and best practices to enhance analytical capabilities. Requirements Qualification and Experience: · Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field; advanced degree or certifications in analytics is a plus. · Minimum of 3–5 years’ experience in data analysis, business intelligence, or related roles. · Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau). · Strong analytical and problem-solving skills with attention to detail. · Experience with big data platforms and cloud-based analytics solutions is an advantage.
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Pay

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Location & working pattern

Lagos, Lagos, Nigeria

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