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High due to Tier-1 brand, broad BI/data skillset, and a visible mid-level analytics role.
Medium because core BI and data engineering skills transfer across industries, but business-function domain knowledge matters.
High because of explicit 7+ years and multiple mandatory BI, data engineering, and ML technical requirements.
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Develop end-to-end BI reporting solutions including data collection, transformation, and visualization using SQL, Python, PySpark, PowerBI, and Gen-UI.
Design analytical frameworks applying machine learning and predictive modeling to deliver actionable business performance insights.
Lead standardized reporting and data storytelling efforts, collaborating with stakeholders to create self-serve, user-friendly dashboards aligned to business priorities.
7+ years of relevant experience in data modeling, analytics, BI development, and reporting.
Strong technical skills in SQL, Python, PySpark, PowerBI, Gen-UI, and advanced Excel.
Experience with predictive modeling, machine learning algorithms, and AI-led BI implementations.
Relocation assistance provided; Work Experience Required: 7+ years.
Experienced in handling large-scale data warehouses/lakehouse with expertise in data architecture design and optimization.
Proven ability to translate complex data into clear business insights and dashboards for varied audiences.
Skilled at managing ambiguity, prioritizing tasks in dynamic environments, and driving innovation in BI solutions.