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Mid-level BI/data role with common skills and metro context creates medium competition.
Core BI and data engineering skills are transferable, though business-operations domain knowledge moderately matters.
Explicit 7+ years plus mandatory SQL/Python, PowerBI, data modelling and ML requirements increases strictness.
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Develop end-to-end BI reporting solutions including data modeling, transformation, dashboard creation, and visualization using SQL, Python, PowerBI, and Gen-UI.
Leverage predictive modeling, machine learning, and generative AI to deliver business performance insights and optimize real-time analytics for informed decision-making.
Lead standardized reporting, experimentation, data documentation, and collaborate with stakeholders to align KPIs and data requirements with business priorities.
7+ years of relevant experience in data modeling, analytics, reporting, and BI development.
Strong skills in SQL, Python, data transformation, and expertise with PowerBI and Gen-UI for dashboard and report development.
Hands-on experience with predictive modeling, machine learning, and AI implementation use cases in BI.
Work Experience Required: 7+ years
Experienced in large-scale data warehouse/lakehouse environments with strong knowledge of data architecture and data flow mapping from source to reporting.
Able to design advanced visualizations focusing on business KPIs and applying UX best practices for actionable and user-friendly reports.
Skilled at collaborating with business stakeholders to translate complex data into clear, actionable insights and continuously improving reporting based on feedback.