Data Analyst

AI summary

Audacious Circle Careers is hiring a detail-oriented Data Analyst to join its team in Abuja (FCT) on a full-time basis within the Warehousing & Distribution industry. The role involves collecting, cleaning, and analyzing business data to produce dashboards, reports, and actionable insights that support inventory management, sales performance, and operational efficiency. Candidates should have a Bachelor's degree in a quantitative field, at least 3 years of data analysis experience, and strong skills in Excel, SQL, and Power BI or Tableau.

• Full-time Data Analyst role based in Abuja (FCT)
• Focus on warehousing, distribution, and inventory analytics
• Requires Bachelor's degree and minimum 3 years experience
• Key tools: advanced Excel, SQL, and Power BI or Tableau
• Competitive salary with career growth and learning opportunities
• Apply by sending CV to careers@audaciouscircle.com with subject 'Data Analyst'

Original source description

Data Analyst Job at Audacious Circle Careers | Jobgurus Toggle navigation Jobs Job Seekers Aptitude Test Scholarships Register Sign in Employer? Post a Job CLICK HERE TO JOIN OUR WHATSAPP CHANNEL Data Analyst Job at Audacious Circle Careers Audacious Circle Careers was founded with a singular conviction: that Africa's organisations deserve a talent partner as ambitious as their vision. We exist at the intersection of consulting rigour and human empathy — combining data-driven methodology with a genuine commitment to the people and businesses we serve. From our headquarters in Lagos, we've grown into a trusted partner to 500+ organisations and 5,000+ professionals across the continent. Our approach rejects the transactional nature of traditional recruitment in favour of strategic, long-term partnerships that create enduring value. We are recruiting to fill the position below: Job Position: Data Analyst Job Location: Abuja (FCT) Employment Type: Full-time Industry: Warehousing & Distribution Work Schedule: Monday – Friday Job Summary We are looking for a detail-oriented and analytical Data Analyst to collect, analyze, and interpret business data to support strategic decision-making. The ideal candidate will provide actionable insights that improve operational efficiency, inventory management, sales performance, and overall business growth. Key Responsibilities: Collect, clean, analyze, and interpret data from multiple business sources. Develop dashboards and reports to monitor key business and operational metrics. Analyze inventory, sales, warehouse, and distribution data to identify trends and opportunities. Generate periodic performance reports for management. Identify process inefficiencies and recommend data-driven improvements. Collaborate with operations, finance, sales, and warehouse teams to support business decisions. Monitor KPIs and provide insights on business performance. Ensure data accuracy, integrity, and confidentiality. Automate recurring reports where possible. Present findings and recommendations to management in a clear and concise manner. Support forecasting and business planning through data analysis. Requirements: Bachelor's Degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field. Minimum of 3 years of experience: as a Data Analyst, preferably in a warehousing, logistics, FMCG, manufacturing, or distribution company. Proficiency in Microsoft Excel (advanced), SQL, and Power BI or Tableau. Strong analytical and problem-solving skills. Experience: working with ERP systems is an added advantage. Knowledge of statistical analysis and data visualization techniques. Excellent communication and presentation skills. High attention to detail and accuracy. Key Competencies: Data Analysis & Interpretation SQL Microsoft Excel (Advanced) Power BI/Tableau Data Visualization Reporting & Dashboard Development Business Intelligence Statistical Analysis Critical Thinking Problem-Solving Attention to Detail What We Offer Competitive salary Career growth and development opportunities Collaborative work environment Continuous learning and professional development Method of Application Interested and qualified candidates should send their CV to: [email protected] using "Data Analyst" as the subject of the email. 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