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Popular analytics role with GenAI interest and broad skill requirements yields moderate applicant competition.
Core SQL, Power BI and Python skills are highly transferable across industries.
Mandatory SQL, Power BI, Python and senior designation create rigorous technical screening.
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Lead development of scalable analytics and BI solutions using SQL, Power BI, and Python for large, complex datasets across domains like fraud, pricing, customer behavior, and operations.
Design and implement AI/ML and GenAI applications including predictive models, automation, and AI integrations into dashboards and data workflows.
Manage and optimize end-to-end data pipelines and ensure data quality, consistency, and governance across platforms like Snowflake, AWS, and Azure.
Strong expertise in SQL with experience writing and optimizing complex queries for large datasets.
Proficient in Power BI for data modeling, DAX calculations, and interactive reporting.
Hands-on experience with Python for data analysis, scripting, and AI/ML model development using libraries such as Pandas, NumPy, and Scikit-learn.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data analyst/engineer comfortable with integrating AI/ML and GenAI capabilities into data products and business workflows.
Skilled at translating complex business problems into data-driven, scalable analytics and automation solutions.
Familiar with cloud data platforms (Snowflake, AWS, Azure) and data governance to ensure reliable, performant data ecosystems.