Data Analyst

Job Title: Data Analyst

Location: HyderabadWork Mode : Semi Hybrid Mode (4days work from office) and (1 day work from home(either Monday or Wednesday or Friday)) in a weekJob DescriptionAbout the Company & the team:vidaXL is a leading company in the retail/e-commerce industry, committed to transforming the shopping experience for our customers through innovative technology solutions.

Our Data & Analytics team plays a critical role in enabling & empowering all the business domains across the omni-retail value chain for delivering their strategic priorities and business leveraging our Data & Analytics Products & Services.

Job Description

We are seeking a Data Analyst to join our dynamic team of Data & Analytics function. The ideal candidate will have a strong background & experience in transforming raw data into actionable insights and supporting decisions across Omni-retail value chain (Sales, Marketing, Logistics, Product, Pricing etc.)You will:Data Collection & Preparation: Extract, clean, and validate large datasets from e-commerce & Sales platforms, loyalty programs, marketing channels etc.Data & Analytics Product Delivery Support:Analyze the business case request for D&A Product development (Data marts, Data feeds, Data Science, AI / ML solutions) and share the expected business impactPerform Data Analysis activities like Data availability & Data mapping assessments from the data sources for successfully delivering D&A Products andValidate the quality of the deliverables and evaluate whether it is meeting the business expectationsAnalysis & Insights: Identify sales trends, customer behavior patterns, inventory performance, and campaign effectiveness.Reporting & Visualization: Develop interactive dashboards (using tools like Looker, Powerbi, Tableau etc.) and reports for KPIs like conversion rates, AOV, customer lifetime value.Stakeholder Collaboration: Partner with analysts, leads and managers to define needs, present findings, and translate business questions into analytical projects.Business Recommendations: Provide data-driven suggestions for promotions, pricing, Marketing, Merchandising, customer segmentation etc.Data Quality: Support data governance, troubleshoot data issues, and ensure accuracy for reliable reporting. .We ask:Bachelor's degree (or preferably) in Computer Science, Statistics, or a related field and high level of English proficiency.The ideal candidate has 3+ years of strong experience in Data, BI, Analytics, Data Science or AI domains, preferably within Ecommerce, Retail, Consumer goods, or a related data-intensive industry.Strong statistical knowledge, ability to interpret complex data, understand correlation vs. causation.SQL (advanced), Excel (advanced), Tableau/Power BI/Looker. Python/R a plus.Experience working with GBQ/GCP is highly desirable but not mandatoryExperience with frameworks like Scrum, Kanban, or SAFe, and a track record of working in an iterative environment