{"id":2551329,"url":"https://alion.io/job/davidorlah-farms-data-analyst","title":"Data Analyst","company":{"id":3894516,"name":"Davidorlah Farms","domain":"davidorlahfarms.com","url":"https://alion.io/company/davidorlah-farms","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lagos, Nigeria"],"countries":["NG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":400000,"currency":"NGN","period":"month","gross":true,"usd_annual":3612},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google 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representative, location, marketing channel, and customer segment.\nIdentify trends, patterns, business risks, and opportunities from company data.\nAnalyze customer purchasing behaviour and provide insights that can improve customer retention and repeat purchases.\nWork closely with the Sales and Marketing teams to evaluate lead quality, conversion rates, campaign performance, and advertising effectiveness.\nAnalyze product performance and identify best-selling, slow-moving, and underperforming products.\nMonitor order fulfilment, cancellations, failed deliveries, returns, and other operational metrics.\nInvestigate unusual changes in revenue, sales, customer behaviour, or operational performance and provide explanations to management.\nDevelop automated dashboards and reporting systems using Power BI, Excel, Looker Studio, Tableau, or similar tools.\nUse SQL and other analytical tools to extract and manipulate data from different databases.\nEnsure the accuracy, consistency, and integrity of business data.\nProvide forecasts and trend analysis to support sales, inventory, and business planning.\nPresent complex findings in a simple and understandable format to management.\nRecommend data-driven strategies for improving revenue, conversion, operational efficiency, and profitability.\n\nRequirements:Bachelor's degree/HND in Statistics, Mathematics, Computer Science, Economics, Data Science, Business Analytics, or a related field.\nMinimum of 2–4 years of experience in Data Analysis, Business Intelligence, or a related position.\nPrevious experience in e-commerce, retail, FMCG, logistics, fintech, or another data-driven environment is an advantage.\nStrong proficiency in Microsoft Excel/Google Sheets.\nGood knowledge of SQL for data extraction and analysis.\nExperience with Power BI, Tableau, Looker Studio, or similar visualization tools.\nKnowledge of Python or R for data analysis is an added advantage.\nExperience working with large datasets and multiple data sources.\nUnderstanding of e-commerce and digital marketing metrics.\nStrong reporting and data visualization skills.\n\nPreferred qualifications:\nData Analysis & Interpretation\nAdvanced Excel\nSQL\nPower BI / Tableau\nDashboard Development\nData Cleaning & Validation\nSales & Revenue Analysis\nE-commerce Analytics\nMarketing Performance Analysis\nCustomer Behaviour Analysis\nForecasting & Trend Analysis\nProblem-Solving\nAttention to Detail\nCommercial Awareness\nReporting & Presentation","description_format":"text","description_chars":2921,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Farming & Agriculture","Real Estate","Land & Agriculture 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