Data Analyst at Pack 'N' Pay

Pack ‘N’ Pay is a product of CIC Integrated Services LTD. CIC was created as a wholesale store that supplies food to offshore catering companies to feed the offshore workers. Pack ’N’ Pay was created as a product that would leverage technology to solve the problems of retailers and wholesalers. Pack ‘N’ Pay officially started operations on January 18th 2021 and launched her ecommerce website on March 1st 2021.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Port Harcourt, Rivers

Job Summary

• We are seeking a motivated and detail-oriented data analyst to join our team at Pack’N’Pay, which is a leading player in the FMCG sector.
• The ideal candidate will leverage data-driven insights to support strategic decision-making, optimize operations, and enhance product performance.

Key Responsibilities

• Gather and organize data from various sources, including sales, marketing, and supply chain systems.
• Ensure data integrity and accuracy through regular audits and validation processes.
• Analyze large datasets to identify trends, patterns, and anomalies in sales performance, customer behavior, and market dynamics.
• Create and maintain dashboards and reports to provide actionable insights to stakeholders.
• Conduct market research to understand the competitive landscape and consumer preferences.
• Support product development and marketing strategies through data-driven recommendations.
• Work closely with cross-functional teams, including marketing, finance, and operations, to drive data-informed decisions.
• Present findings and insights to management and key stakeholders clearly and concisely.
• Develop and track key performance indicators (KPIs) to measure business performance.
• Provide recommendations for process improvements based on data analysis.

Skills &Qualifications

• Bachelor's Degree in Data Science, Statistics, Business Analytics, or a related field.
• 2+ years of experience as a Data Analyst, preferably in the FMCG industry.
• Proficiency in data analysis tools and languages like SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling reports and dashboards.
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
• Familiarity with market research methodologies and statistical analysis is a plus.

What We Offer

• Competitive salary and benefits package
• Opportunities for professional development and career advancement
• A dynamic and collaborative work environment.

Application Closing Date
25th October, 2024.