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Strong employer brand, common mid-level data title, and 3-6 years experience amplify competition.
Core skills (SQL, Power BI, Python, Azure) are broadly transferable across industries.
Multiple explicit technical requirements and mandatory 3+ years make shortlisting highly selective.
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Analyze large datasets from multiple systems to generate actionable insights and support business decisions.
Build and maintain Power BI dashboards and reports to enable performance analysis and reporting.
Write and optimize SQL queries for data extraction, validation, and support day-to-day analytical requests.
3+ years of experience as a Business Analyst with hands-on expertise in Power BI, Excel, and SQL.
Experience with ML model development and deployment plus strong background in time-series forecasting.
Proficiency in Azure cloud services including Databricks, Azure ML, Data Factory, and Synapse environment.
Work Experience Required: 3+ years. No notice period explicitly mentioned.
Experienced in handling large datasets in cloud environments and delivering fast-paced analytical projects.
Skilled in integrating data-driven solutions with stakeholders and ensuring data accuracy and consistency in reporting.
Preferably has exposure to logistics or supply chain analytics, aligning with domain-specific insights.