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.
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.
Create and maintain dashboards and reports to provide actionable insights to stakeholders.
Conduct market research to understand the competitive landscape and consumer preferences.
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.
Method of Application
Interested applicants should forward their CV and cover letters to: packnpayhr@gmail.comusing the Job Position and Location as the subject of the mail.