Data Analyst

vidaXL; Hyderabad; Hybrid; INR 800,000 - 1,400,000; Full time

Benefits offered by this job

Semi-hybrid work mode (4 days in‑house

1 day work-from-home

Job summary

vidaXL is seeking a Data Analyst to join our Data & Analytics team in a semi-hybrid mode (4 days in office, 1 day work-from-home). You will transform raw data into actionable insights across the omni-retail value chain (sales, marketing, logistics, product, pricing) and build dashboards to track KPIs like conversion rates, AOV, and CLV.

The ideal candidate has 3+ years in Data/BI/Analytics, strong statistics, and experience with Looker/Power BI/Tableau and GBQ/GCP is a plus.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, or a related field and strong English proficiency.
• 3+ years experience in Data, BI, Analytics, Data Science or AI domains, preferably in Ecommerce/Retail.
• Strong statistical knowledge; ability to interpret data and distinguish correlation vs. causation.
• Experience with GBQ/GCP is desirable but not mandatory.
• Experience with Scrum/Kanban/SAFe in iterative environments.

Responsibilities

• Extract, clean, and validate large datasets from e-commerce & sales platforms, loyalty programs, marketing channels, etc.
• Analyze business cases for Data & Analytics product development (data marts, data feeds, data science, AI/ML).
• Perform data analysis and data mapping from sources to deliverables.
• Validate data quality and ensure it meets business expectations.
• Identify sales trends, customer behavior, inventory performance, and campaign effectiveness.
• Develop interactive dashboards and reports for KPIs (conversion rate, AOV, CLV) using Looker, Power BI, Tableau.
• Collaborate with stakeholders to translate questions into analytical projects and provide data-driven recommendations for promotions, pricing, marketing, merchandising.

Skills

Data collection

Data analysis

Looker

Power BI

Tableau

Google BigQuery

Data governance

Education

Bachelor’s degree in CS / Statistics / related field

Tools

Looker

Power BI

Tableau

Google BigQuery (GBQ) / GCP

Job description

Work Mode : Semi Hybrid Mode (4days work from office) and (1 day work from home(either Monday or Wednesday or Friday)) in a week

Job Description

About 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 impact
• Perform Data Analysis activities like Data availability & Data mapping assessments from the data sources for successfully delivering D&A Products and
• Validate the quality of the deliverables and evaluate whether it is meeting the business expectations
• Analysis & 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.
• Experience working with GBQ/GCP is highly desirable but not mandatory
• Experience with frameworks like Scrum, Kanban, or SAFe, and a track record of working in an iterative environment