Statistician / Data Analyst

Introduction

NOIPolls is the No. 1 for country-specific polling services in the West African region.

We remain at the forefront of providing much-needed data and information on the opinions, perceptions, attitudes, and preferences of the Nigerian population and Africa as a whole.

Objective of the Assignment

We aim to hire a qualified and experienced Statistician / Data Analyst to assist with the design, analysis, interpretation, and reporting of quantitative data from surveys, monitoring & evaluation activities, and research studies. The role will help generate actionable insights and ensure high-quality data outcomes that support decision-making and program management.

Key Responsibilities

The Statistician / Data Analyst will be responsible for the following tasks:

1.     Develop statistical analysis plans (SAPs) in line with the study design or monitoring framework.

2.     Clean, process, and manage large datasets (#s of respondents, multiple waves, etc.).

3.     Apply appropriate statistical methods (e.g., descriptive statistics, inferential statistics, regression modelling, multivariate analysis) to answer programme/research questions.

4.     Use statistical software packages (e.g., R, STATA, SPSS, Python) to conduct analysis, create reproducible code, and ensure transparency.

5.     Generate data visualisations (dashboards, charts, tables) and summary results to present to stakeholders.

6.     Interpret and communicate statistical findings clearly in written reports and presentations.

7.     Collaborate with the data collection and data management teams to ensure data integrity and quality assurance.

8.     Guide sampling methodology, weighting, and representativeness.

9.     Support the monitoring, evaluation, and learning (MEL) agenda through providing analytical expertise, contributing to learning briefs, and supporting decision-making.

10.  Ensure that all statistical outputs meet accepted standards, including documentation of code, methods, and assumptions.

Deliverables

The Statistician / Data Analyst will deliver:

1.     A detailed statistical analysis plan within the probation period of employment.

2.     Cleaned and documented datasets ready for analysis.

3.     Statistical analysis outputs (tables, charts, regression results) aligned with the SAP.

4.     A draft analytic report (and presentation slide deck) summarising key findings, implications, and recommendations.

5.     Final analytic report incorporating feedback from stakeholders.

Duration & Level of Effort

The assignment is based in Abuja, Nigeria, and may require occasional travel within Nigeria.

1.     Duration: Full-Time

2.     Working days/hours: 8:30 am to 5:00 pm Mondays to Fridays

Required Qualifications and Experience

Essential:

1.     Master's degree (MSc or equivalent) in Statistics, Biostatistics, Data Science, Mathematics, Economics (with heavy quantitative work), or a relevant analytical field.

2.     At least 5 years of professional experience in quantitative data analysis within research institutions, non-governmental organisations, consulting firms, or equivalent.

3.     Demonstrated proficiency in the use of statistical software packages (R, STATA, SPSS, Python) and data visualisation tools (Power BI, Tableau, etc).

4.     Proven track record of designing and analysing surveys, research studies, or monitoring & evaluation programmes and producing actionable insights.

5.     Strong analytical thinking, attention to detail, and ability to translate complex quantitative results into clear messages for non-technical stakeholders.

6.     Excellent written and verbal communication skills in English.

7.     Ability to work collaboratively as part of a multidisciplinary team and operate under deadlines in Abuja.

Desirable:

1.     Experience working in Nigeria or West Africa, with an understanding of local data contexts and challenges.

2.     Experience with sampling, weighting, and handling large-scale datasets.

3.     Experience with machine learning / predictive modelling, though not essential.

4.     Experience in dashboard development and interactive data visualisation.

5.     Familiarity with open-source software and reproducible analytical workflows.

Payment & Remuneration

Payment will be made monthly in line with NOIPolls' payment structure.

Any approved travel or operational expenses will be reimbursed in accordance with NOIPolls policies.

Application
Process

Interested candidates should submit:

1.     A detailed CV highlighting relevant experience and software proficiency.

• 2.     At least two (2) examples of previous analytic work (could be reports, dashboards or publications) with quantitative data.
• Send application to
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