Data Analyst (B2C Ecommerce)

Data Engineer / Data Analyst / Data Analytics (B2C Digital Platform)- Onsite - Dubai Company Overvivew: UAE-based pioneer delivering customer-centric experiences and unparalleled opportunities through cutting-edge technology, with six innovative tech ventures across the globe. Role Overview: We are seeking a strategic, analytical, and business-savvy Data Analytics and Business Intelligence to mana our analytics and BI function. This role is responsible for developing and executing analytics strategies, implementing advanced BI solutions, and delivering actionable insights that improve performance, efficiency, and growth. Key Responsibilities: Strategic Leadership: • Define and execute the data analytics and BI roadmap aligned with business goals. • Collaborate with senior leadership to identify key metrics and decision-making needs. • Evangelize data-driven culture across the organization. Team & Project Management: • Manage prioritization of analytics projects and ensure timely delivery of insights. • Oversee the development, deployment, and maintenance of dashboards and reports. Data & Insights Delivery • Translate complex data into actionable business insights and strategic recommendations. • Perform exploratory, predictive, and prescriptive analytics to solve business problems. • Ensure data accuracy, quality, and governance in all reporting and analytics processes. BI Tools & Infrastructure: • Own the strategy and optimization of BI platforms (e.g., Power BI, Tableau, Looker). • Collaborate with Data Engineering to maintain scalable data pipelines and infrastructure. • Drive automation and self-service analytics capabilities across business units. Cross-functional Collaboration: • Partner with stakeholders in Sales, Marketing, Finance, Product, and Operations. • Understand departmental KPIs and provide data support to improve performance. • Present key findings to executive leadership and recommend course of action. Qualifications: Education: • Bachelor's degree in Computer Science, Data Science, Statistics, Business, or related field. • Masters degree or MBA preferred. Experience: • 8+ years of experience in data analytics or business intelligence roles. • Experience in managing cross-functional analytics initiatives. Technical Skills: • Proficiency in SQL, Python, or R for data analysis. • Expertise in BI tools (e.g., Power BI, Tableau, Qlik, Looker). • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). • Strong understanding of data modeling, ETL processes, and cloud data platforms. Other Details: Work Mode: Onsite - Full Time Location: Al safa Dubai, UAE Experience: 8 to 10 years years Days: Monday to Friday Timing: 9am-6pm Benefits: • Health insurance for employee & family • Annual Ticket • 24 Annual leaves on year completion • Bonus - performance based • Annual increment About HR Ways HR Ways is an award-winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide, ranging from the world’s biggest SaaS Companies to the most competitive Startups. We have entities in Dubai, Canada, the US, the UK, Pakistan, India, Saudi Arabia, Portugal, Brazil, and other parts of the world. Join our WhatsApp Channel https://whatsapp.com/channel/0029VamSiLr5fM5fMtAdCS2M to stay updated, or visit www.hrways.co to know more. Show more Show less

Education: Bachelor's in Computer Science, Data Science, Statistics, Business, or related field; Masters or MBA preferred. Experience: 8+ years of experience in data analytics or business intelligence roles; experience in managing cross-functional analytics initiatives. Technical: Proficiency in SQL, Python, or R for data analysis; expertise in BI tools (Power BI, Tableau, Qlik, Looker); experience with data warehousing solutions (Snowflake, Redshift, BigQuery); strong understanding of data modeling, ETL processes, and cloud data platforms.

Define and execute the data analytics and BI roadmap aligned with business goals; collaborate with senior leadership to identify key metrics and decision-making needs; evangelize data-driven culture across the organization; manage prioritization of analytics projects and ensure timely delivery of insights; oversee the development, deployment, and maintenance of dashboards and reports; translate complex data into actionable business insights and strategic recommendations; perform exploratory, predictive, and prescriptive analytics to solve business problems; ensure data accuracy, quality, and governance in all reporting and analytics processes; own the strategy and optimization of BI platforms (Power BI, Tableau, Looker); collaborate with Data Engineering to maintain scalable data pipelines and infrastructure; drive automation and self-service analytics capabilities across business units; partner with stakeholders in Sales, Marketing, Finance, Product, and Operations; understand departmental KPIs and provide data support to improve performance; present key findings to executive leadership and recommend course of action.