Statistician

Job Summary:

We are seeking a highly motivated and detail-oriented Statistician to lead and support analytical initiatives across key business functions. The successful candidate is required to apply statistical techniques and predictive modeling to solve real-world problems in marketing effectiveness, product development, demand forecasting, and operational efficiency. You are required to transform raw data into meaningful insights that inform business strategies and optimize performance.

---

Key Responsibilities

1. Statistical Analysis & Modeling

• Develop, validate, and maintain predictive and descriptive models (e.g., regression, clustering, time series forecasting).
• Perform hypothesis testing, A/B testing, and experimental design for marketing campaigns and product trials.
• Conduct multivariate analyses to explore relationships between product, customer, and market variables.

2. Consumer & Market Insights

• Analyze customer segmentation, buying behavior, and brand performance using internal and external data sources.
• Collaborate with marketing and category managers to identify trends, opportunities, and risks in market performance.
• Support new product development (NPD) with data from sensory testing, consumer panels, and post-launch feedback.

3. Operational & Supply Chain Analytics

• Forecast product demand across channels and regions to support procurement and logistics planning.
• Identify inefficiencies in manufacturing and supply chain using statistical process control (SPC) methods.
• Build inventory optimization models and alert systems to reduce waste and improve service levels.

4. Data Visualization & Reporting

• Create dashboards, scorecards, and performance reports for senior leadership using Power BI, Tableau, or similar tools.
• Automate reporting processes and improve data access and usability for non-technical stakeholders.

5. Cross-Functional Collaboration

• Partner with internal stakeholders across Sales, Marketing, R&D, and Supply Chain to support business initiatives.
• Present complex statistical findings in a clear, concise manner to influence business decisions.

---

Qualifications:

• Bachelors or Master’s degree in Statistics, Mathematics, Data Science, Economics, or a related discipline.

• 2–5 years of experience in an analytical/statistical role, ideally within the FMCG, retail, or consumer products sector.
• Strong working knowledge of statistical software (R, Python, SAS, or SPSS) and SQL.
• Experience with BI and data visualization tools (e.g., Power BI, Tableau, Looker).
• Strong understanding of statistical concepts, probability, sampling, and model validation.
• Familiarity with CRM, ERP, or FMCG-related datasets is a plus.

---

Key Competencies:

• High attention to detail and accuracy.
• Strong problem-solving and critical thinking skills.
• Ability to work independently and manage multiple projects simultaneously.
• Excellent verbal and written communication skills.
• Collaborative mindset and ability to work with cross-functional teams.

hr@nikbakers.