Associate Data Analyst at Sproxil Nigeria Limited

Sproxil is a global brand protection & consumer engagement solutions provider specialized in the provision of cutting edge advanced technology to combat counterfeiting, product theft and adulterations; as well as providing a platform for consumer engagement.

We are recruiting to fill the position below:

Job Title: Associate Data Analyst

Location: Lagos

Role Summary

• The Associate Data Analyst will support Sproxil’s Analytics & Data Intelligence team in turning large volumes of product verification, consumer engagement, supply chain, and public health data into actionable insights.
• Working directly under the Lead Data Analyst, the role holder will assist in the full data analysis lifecycle — from data acquisition and cleaning to dashboard development and reporting — across Sproxil’s diverse client programmes in pharmaceuticals, FMCG, cosmetics, agribusiness, and donor-funded public health initiatives.

Key Responsibilities

• Apply descriptive and inferential statistical methods to extract meaningful findings from surveys, and public health datasets.
• Conduct hypothesis testing, regression analysis, and significance testing to validate trends and support evidence-based decision-making.
• Collect, clean, validate, and organise data from multiple internal and external sources including Sproxil’s authentication platform, call centre systems, CRM, field surveys, and client datasets.
• Conduct exploratory data analysis to uncover trends, patterns, and anomalies across product verification volumes, consumer behaviour, supply chain activity, and campaign performance.
• Develop and maintain dashboards and automated reports using Power BI, Tableau, or similar tools to communicate key metrics to internal teams and clients.
• Support the Lead Data Analyst in preparing data-driven insight reports, presentations, and periodic client performance reviews.
• Write SQL queries to extract, transform, and load data from PostgreSQL and other relational databases used across Sproxil’s technology stack.
• Assist in the design and implementation of data quality frameworks, ensuring accuracy, completeness, and consistency of data across all pipelines.
• Support the analysis of CATI (Computer-Assisted Telephone Interview) survey data and field operations data for programme evaluation and reporting.
• Collaborate cross-functionally with product, engineering, service delivery, and business development teams to provide data support for decision-making.

Requirements
Qualifications & Experience:

• Bachelor’s degree or its equivalent in Statistics, Epidemiology, Public Health, Biostatistics, Mathematics, Computer Science, or a related quantitative field.
• Minimum 2 years of hands-on experience in a data analyst or quantitative research role. Demonstrable exposure to public health or health programme data environments is an added advantage
• Proven practical experience in data modelling — preferable statistical, predictive, or epidemiological models — applied to real-world public health datasets (e.g. disease surveillance, HMIS data, programme evaluations).
• Proficiency in SQL for data extraction and manipulation (PostgreSQL experience preferred).
• Working knowledge of Python or R for data wrangling, analysis, and basic visualisation (Pandas, NumPy, Matplotlib, or equivalent).
• Experience with Power BI at least one other BI/visualisation tool —, Tableau, Google Looker Studio, or similar.
• Solid understanding of data cleaning, transformation, and quality assurance principles.
• Familiarity with Microsoft Excel for data analysis, including pivot tables, VLOOKUP, and basic statistical functions.

Nice to Have:

• Exposure to machine learning concepts or predictive modelling.
• Experience working with supply chain, consumer engagement, or public health datasets.
• Knowledge of data pipeline tools or ETL processes.
• Familiarity with Git or version control for analytical projects.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online