FirstExcelsia is a firm of highly versatile and renowned Human Resources, Organisational Development and Management consultants. We have an in-depth understanding of the Nigerian business terrain and we are very passionate about partnering with indigenous organisations to develop world class yet localized systems, processes and structures required to achieve optimum results. The firm commenced operations in 2015 and currently has a team of consultants that have successfully managed numerous Organisational Development, Human Resources and Management Consulting projects in varying leadership capacities across all sectors of the Nigerian Economy.
Our client is seeking a highly experienced and strategic Senior Data Analyst to join their team.
The ideal role holder will be responsible for owning the end-to-end data analysis process sourcing, transforming, analysing, and interpreting data to support strategic decision-making and improve business performance.
Role Responsibilities:
- Partner with business stakeholders to understand goals and define success metrics aligned with business objectives.
- Translate business problems into data questions; design robust analytical approaches to solve them.
- Develop predictive models and statistical analyses to forecast trends and identify opportunities.
- Proactively surface insights that inform strategic priorities, customer segmentation, channel effectiveness, and operational efficiency.
- Extract, clean, and transform large datasets from multiple sources including internal databases, CRMs, marketing platforms, and cloud data warehouses.
- Design and maintain advanced dashboards and self-service BI tools for various teams using Power BI, Tableau, or Looker.
- Implement and improve data governance, accuracy, and consistency across all analytics outputs.
- Track and evaluate KPIs across departments (marketing, finance, operations, etc.).
- Design and conduct A/B testing and other statistical experiments to measure business impact and guide decision-making.
- Identify bottlenecks, anomalies, and opportunities for optimization in real-time.
- Work cross-functionally with technical and non-technical stakeholders to translate insights into strategic recommendations.
- Provide mentorship and technical guidance to junior analysts and support upskilling across departments.
- Contribute to building a scalable data infrastructure and reporting framework that supports growth.
Person Specifications:
- Bachelor’s or master’s degree in data science, Statistics, Computer Science, Business Analytics, Economics, or a related field.
- 4+ years of proven experience in data analytics or business intelligence, preferably in a fast-paced, data-driven organization.
- Advanced proficiency in SQL for data extraction and manipulation.
- Strong experience with data visualization tools (Power BI, Tableau, Looker) and building interactive dashboards.
- Solid experience with Excel for reporting and analysis.
- Proficiency in at least one programming language for data analysis (e.g., Python or R).
- Experience with statistical modelling, forecasting, and machine learning is a strong advantage
- Strong analytical mindset with attention to detail and a passion for problem-solving.
- Ability to communicate insights effectively to both technical and non-technical audiences. Excellent time management skills and the ability to work independently and lead complex projects. Experience with Python or R for data analysis.
Method of Application
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