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High: Tier‑1 brand, mid‑level generalist BI/data role, and broad technical skillset make applicant density high.
Medium: analytics and cloud skills transfer across industries, but ML/forecasting and BI focus need domain familiarity.
High: explicit 3+ years plus mandatory ML, cloud, and analytics tech stack filters.
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Analyze large datasets from multiple systems to generate actionable business insights.
Build and maintain Power BI dashboards and reports to support performance analysis and reporting.
Write and optimize SQL queries for data extraction and validation, supporting day-to-day analytical projects and stakeholder requirements.
3+ years of experience in business/data analysis.
Hands-on experience with Power BI, Excel, and SQL mandatory.
Experience with ML model development & deployment and strong background in time-series forecasting.
Experience working with large datasets in cloud environments, specifically Azure (Databricks, Azure ML, Data Factory, Synapse) and Python (pandas, PySpark).
Experienced in handling fast-paced analytical projects involving logistics or supply chain analytics (preferred but not mandatory).
Skilled in delivering data-driven solutions and managing performance reporting and ad hoc business requests.
Comfortable working with cloud-based data infrastructure and advanced analytics tools to ensure data accuracy and reliability.