Position Details
About this role
Senior data analytics professional responsible for collecting and modeling data to drive business decisions, forecasting, and upsell opportunities. Collaborates with executives, mentors junior members, and stays current with analytics trends.
Key Responsibilities
- Leads discussions with business leaders to understand data needs and requirements
- Analyzes large data to derive actionable insights using self-service analytics
- Queries Teradata, SQL Server, Hadoop, and AWS data sources
- Oversees forecasting models to predict sales and key metrics
- Communicates findings through narrative-driven presentations and data visuals
Technical Overview
Skilled in Teradata, SQL Server, Hadoop, AWS, NLP, and forecasting techniques; applies A/B testing and segmentation, builds self-service analytics and effective visualizations for executives.
Ideal Candidate
The ideal candidate is a senior data analytics professional with 10+ years of experience, strong expertise in Teradata, SQL Server, Hadoop, and AWS, and a proven track record in building forecasting models and self-service analytics. They should be adept at communicating data-driven insights to executives and mentoring junior team members.
Must-Have Skills
None listed
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of relevant experience, Lack of experience with Teradata/SQL Server/Hadoop/AWS, Bachelor's degree not met
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