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Lagos Full Time

Energy & Utilities NGN 1,200,000 - 1,500,000

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We are seeking a highly skilled Data Management & Quality Support Analyst (Level 3) to lead data governance, quality assurance, and management initiatives across the organization. This senior role is responsible for ensuring data integrity, consistency, and compliance while mentoring junior analysts and collaborating with business leaders.

• Minimum Qualification : Degree
• Experience Level : Senior level
• Experience Length : 10 years

Responsibilities:

• Lead the design, implementation, and enforcement of data management and quality standards.
• Monitor and improve data accuracy, consistency, and integrity across systems and applications.
• Manage master data, metadata, and data lifecycle processes.
• Identify and resolve complex data issues, working closely with business units and IT teams.
• Define and implement data governance frameworks, policies, and controls.
• Oversee data quality audits, validations, and cleansing activities.
• Collaborate with BI, analytics, and application teams to ensure reliable reporting.
• Mentor and guide Level 1 and Level 2 data analysts, promoting best practices.
• Ensure compliance with regulatory requirements (e.g., GDPR, HIPAA, and local data protection laws).
  Provide recommendations to enhance data strategy and architecture.

Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
• Minimum of 10+ years' experience in data management, data quality, or business intelligence.
• Advanced knowledge of SQL, data modeling, and ETL processes.
• Experience with data quality tools (Informatica, Talend, Collibra, or equivalent).
• Strong understanding of data governance frameworks and best practices.
• Familiarity with cloud data platforms (AWS, Azure, and Google BigQuery) is preferred.
• Certifications such as DAMATM Certified Data Management Professional (CDMP) or Microsoft/AWS Data certifications are an advantage.
• Strong leadership, analytical, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Job Title:
ESG Business Manager — Data Management & Ratings Agency Location: Lagos

Reports To:
Head of ESG / CEO

Role Summary

Lead the commercial, operational, and strategic management of the agency's ESG data and ratings business. You will define and grow ESG product offerings, ensure high-quality ESG data and methodology governance, manage client relationships and commercial activity, and coordinate cross-functional teams (research/analysts, data engineering, product, legal/compliance, sales) to deliver timely, accurate, and regulatory-compliant ESG solutions.

Key Responsibilities

1. Strategy & P&L

· Define and execute go-to-market and growth strategy for ESG data, scores, ratings, and analytics products.

· Own product PCL, pricing, packaging, and commercial negotiations to meet revenue and margin targets.

· Identify new market opportunities, partnerships, and product extensions (e.g., climate metrics, transition risk, ESG benchmarks).

2. Product & Roadmap Management

· Own lifecycle for ESG product portfolio: concept, roadmap, prioritization, and go-to- market.

· Translate client use cases and regulatory developments into product requirements and release plans.

· Work with product, UX, and engineering teams to deliver APIs, data feeds, dashboards, and integration options.

3. ESG Methodology & Governance

· Coordinate development and operationalization of ESG scoring and rating methodologies in partnership with research and analytics teams.

· Maintain transparent methodology documentation, version control, audit trails, and change-management processes.

· Ensure independent governance, conflict-of-interest controls, and periodic methodology reviews.

4. Data Sourcing, Operations & Quality

· Oversee ESG data sourcing strategy (public disclosures, filings, third-party providers, alternative data) and vendor selection/management.

· Implement data governance and QA frameworks: validation rules, completeness/consistency checks, reconciliation, and remediation workflows.

Drive automation and scalability of data ingestion, normalization, and distribution pipelines.

5. Regulatory & Standards Alignment

· Maintain deep knowledge of ESG regulatory requirements and standards (e.g., SFDR, EU Taxonomy, CSRD, ISSB/IFRS S1/S2, TCFD).

· Ensure products support client regulatory needs.

· Work with legal/compliance to prepare disclosures, audit support, and regulatory reporting capabilities.

6. Client Engagement & Commercial Support

· Manage key client relationships: institutional investors, asset managers, corporates, and intermediaries.

· Lead RFPs, proposals, demos, and commercial negotiations; support renewals and upsell initiatives.

· Collect client feedback and market intelligence to inform product improvements and thought leadership.

7. Cross-Functional Leadership & Vendor Management

· Lead cross-functional initiatives (product launches, large client implementations, methodology updates).

· Manage third-party data vendors and service providers; negotiate SLAs and track vendor performance.

. Mentor and develop direct reports (if applicable).

8. Performance Measurement & Reporting

· Define and track ESG-specific KPIs: product adoption, revenue, client retention, data quality metrics, coverage, and time-to-market.

· Produce regular business updates and present performance to senior leadership and external stakeholders.

Required Qualifications & Experience

· Bachelor's degree in Sustainability, Environmental Science, Finance, Economics, Data Science, Business, or a related field.

· Postgraduate degree (MBA, MSc in Sustainability/Climate) desirable.

· –10+ years' experience in ESG data, sustainability research, ratings, or

product/operations roles in financial services, ratings agencies, data vendors, or asset management.

· Demonstrable experience launching and commercializing ESG products or solutions.

· Strong working knowledge of ESG frameworks and regulations (e.g., SFDR, EU Taxonomy, CSRD, TCFD, ISSB).

· Experience with data lifecycle and governance practices; vendor management and SLA oversight.

· Familiarity with data tools and platforms (SQL, APIs, cloud data warehouses, BI tools); scripting (Python/R) advantageous.

Skills & Competencies

· Strong commercial acumen and strategic thinking specific to ESG market dynamics.

· Excellent stakeholder management and client-facing skills; able to engage with senior institutional clients.

· Robust project management and prioritization skills; delivers under tight timelines.

· High attention to detail and commitment to data quality, transparency, and regulatory compliance.

· Excellent communication skills for both technical and non-technical audiences.

· Leadership and team development capability.

Preferred Certifications (Optional)

· CFA Certificate in ESG Investing, SASB FSA, GRI Certified, IEMA, or related sustainability qualifications.

Key Performance Indicators (KPIs)

· Revenue growth and margin for ESG products.

· Client acquisition, retention, and Net Promoter Score (NPS).

· Coverage and completeness of ESG data (universe coverage %).

· Data quality: accuracy rate, error reduction, mean time to resolve.

· Time-to-market for product roadmap items and methodology releases.

· Vendor performance vs. agreed SLAs.

How to Apply:

If you are a motivated and experienced records management professional looking for a challenging role, please submit your application, including your resume, cover letter, and relevant certifications to
-
. We look forward to hearing from you.

Company Description

Career Insights offers hands-on training and practical work experience in Data Analysis and Business Intelligence. Our platform allows participants to gain experience in general data management and business intelligence. Participants learn to create digital strategies and utilize big data to improve business operations.

Role Description

This is an on
-site role for a
Data Analysis & BI Facilitator in Lagos. The facilitator will be responsible for providing training, conducting data analysis, modeling data, and generating business insights. Additionally, the role involves supporting digital transformation projects by applying analytical skills to understand and improve business processes.

Qualifications

• Strong Analytical
•

• Skills a
nd

• Data Analytics proficiency
  • Proficiency in Statistics and Data Modeling
  • Excellent Communication skills
  • Prior experience in conducting training or instructional roles is a plus
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • Ability to work effectively on-site in Lagos

Company Description

Perfekt Digital Hub (P-Hub) is a youth-focused digital empowerment and training organization that equips students, graduates, NYSC corps members, and career changers in Africa with globally relevant, remote-ready skills. By bridging the gap between education and employment, P-Hub provides hands-on training, project-based learning, and career development programs designed to launch digital careers. Our core offerings include digital skills training in areas like data analysis, digital marketing, and virtual assistance, along with job readiness support such as mentorship and internship matching. We collaborate with various educational institutions, nonprofit organizations, and youth development stakeholders to promote digital growth and opportunities for African talent.

Role Description

This is a contract remote role for a Data Analysis Instructor. The Data Analysis Instructor will be responsible for designing and delivering curriculum, conducting virtual training sessions, and providing hands-on project guidance in data analysis. The instructor will also support students in building data models, interpreting statistical data, and enhancing their analytical skills. Additionally, the instructor will mentor students and help them prepare for data-related roles in the workforce.

Qualifications

• Strong Analytical Skills and Data Analytics experience
• Proficiency in Statistics and Data Modeling
• Excellent Communication skills for virtual instruction
• Previous teaching or instructor experience is a plus
• Familiarity with digital tools and remote teaching methodologies
• Ability to work independently and manage time effectively
• Bachelor's or Master's degree in Data Analysis, Statistics, or a related field

Job Title:
Data Analysis Instructor

Location:
Hybrid (Lagos – Physical & Virtual Classes)

Employment Type:
Full-Time

About Us:

Hexagon Tech Hub is a leading technology training and innovation center dedicated to equipping individuals with in-demand digital skills. We train beginners and professionals, making learning practical, fun, and career-focused.

Role Overview:

We are seeking a passionate and experienced Data Analysis Instructor to join our growing team. The ideal candidate will be responsible for teaching data analysis to students at beginner and intermediate levels, integrating the use of modern AI-powered tools, and guiding them through real-world projects that prepare them for global opportunities.

Key Responsibilities:

• Deliver engaging and practical lessons in Data Analysis (both physical and virtual).
• Teach tools such as Excel, SQL, Python (Pandas, NumPy), Power BI, Tableau, and AI-powered analytics tools.
• Mentor students on real-world projects, ensuring they gain hands-on experience.
• Develop and update course materials, assignments, and assessments.
• Provide personalized support and feedback to students.
• Stay up to date with industry trends and recommend new technologies or approaches.

Requirements:

• Strong background in Data Analysis, Statistics, or related field.
• Proficiency in tools: Excel, SQL, Python, Power BI/Tableau (AI tools like Power BI Copilot, ChatGPT for data cleaning is a plus).
• Previous teaching, training, or mentorship experience is highly desirable.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for beginners.

Preferred Qualifications:

• Bachelor's degree in Data Science, Computer Science, Statistics, or related discipline.
• Industry certifications in Data Analysis or Business Intelligence.
• Experience with AI-driven tools in data workflows.

What We Offer:

• Competitive compensation.
• Opportunity to shape the next generation of tech professionals.
• Flexible teaching schedule (weekdays or weekends).
• Exposure to a vibrant learning community.

How to Apply:

• Interested candidates should send their CV and portfolio of data projects to

Job Title

: Data Analysis Specialist

Location:
Fully Remote

Contract Type:
Full-time

Job Overview:

The Data Analysis Specialist plays a vital role in our intern coaching program, dedicated to developing the next generation of data professionals. You will guide interns through real-world data projects, helping them clean, analyze, and visualize data to uncover actionable insights. Your expertise will ensure they gain practical skills with industry-standard tools and confidence in applying data analysis to solve business problems.

What You'll Do:

• Mentor interns on real-world data analytics projects.
• Guide them through data collection, cleaning, analysis, visualization, and interpretation.
• Design case studies that mirror real business challenges.
• Develop step-by-step guided solutions, including
  video walkthroughs
  to simplify learning.
• Create and update training materials, templates, and resource guides.
• Track intern progress, provide constructive feedback, and foster skill development.
• Lead outreach and free informational sessions to inspire and attract new interns.

What We're Looking For:

• Minimum 3 years' experience in Data Analytics or a related field.
• Strong expertise in data wrangling, modeling, visualization, and storytelling using tools like Excel, SQL, Python/R, and Power BI/Tableau.
• Ability to explain technical concepts in a simple, practical way.
• Excellent communication, coaching, and mentorship skills.
• Prior experience in training or guiding junior professionals is a strong plus.

Why Join Us?

• Shape the future of aspiring data analysts.
• Build your visibility as a mentor and thought leader in analytics.
• Contribute to a mission-driven program designed to equip interns with future-ready skills.

A Polite Note for Applicants:

We receive many applications for this role, but only a small percentage meet the requirements. To ensure your time and ours is well spent, please apply only if you have strong experience in data analytics and are eager to mentor others on their learning journey.

Job Title:
Data Analyst Tutor

Company:
Cirvee Academy

Location:
Ibadan, Oyo State, Nigeria (On-site)

Job Type:
Part-time

Note: MUST BE BASED IN IBADAN

Company Description

Cirvee Academy is a fast-rising EdTech institution in Ibadan, Nigeria, dedicated to equipping individuals with the digital skills needed to succeed in today's world. We have trained 2000+ students in less than two years, secured global accreditation, and hosted some of the largest youth-tech events in the region. Our mission is simple: to raise Africa's next generation of tech giants.

Role Description

We are seeking a passionate and skilled Data Analysis Tutor to join our academic team. The ideal candidate will teach, mentor, and inspire students to become confident in using data to solve real-world problems.

Responsibilities:

• Deliver engaging, practical training sessions on data analysis (Excel, SQL, Power BI, Tableau, Python for Data Analysis, etc.).

• Design and update course materials, ensuring alignment with industry standards.

• Mentor and guide students through hands-on projects and assignments.

• Assess student progress and provide constructive feedback.

• Stay up to date with current trends in data analytics and incorporate them into teaching.

• Collaborate with the education team to improve learning outcomes.

Qualifications

Required:

• Bachelor's degree in Computer Science, Statistics, Data Science, or a related field.

• Proven experience as a Data Analyst or Data Scientist.

• Proficiency in tools such as Excel, SQL, Power BI, Tableau, and/or Python (pandas, NumPy, matplotlib, etc.).

• Prior teaching, tutoring, or mentorship experience is an added advantage.

• Strong communication and presentation skills.

• Ability to simplify complex topics and make learning engaging.