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Key job responsibilities
This role will be responsible for:
• Applying your deep analytic and business skill to extract meaningful insights from large, complicated datasets.
• Own key executive reports and metrics that are consumed by our VPs and Directors.
• Engage business stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and/or scripting.
• Partner with fellow Data/Applied Scientists to implement scalable, automated infrastructure for data extraction, processing, computation, and delivery.
• Work closely with data engineering and product management to deliver features to customers.
• Identifying new opportunities to influence business strategy and product vision using data.
• Support fellow engineers and scientists to deliver analytical projects and build proof of concept applications.
• Learn new technology and techniques to support product and process innovation.
• Work through significant business and technical ambiguity delivering on analytics roadmap across the team with autonomy.
- Bachelor’s degree in Data Science, Engineering, Statistics, Mathematics or related field or equivalent experience.
- 7+ year of relevant professional experience working with data and applied analytics.
- Experience in programming language (e.g., Python) for automation of data extraction/processing, statistical computation, and/or web scraping. Advanced SQL knowledge for ETLM operations.
- Excellent communication (verbal/written) and data presentation skills and demonstrated ability to successfully partner with business and technical teams.
- Experience with data visualization using QuickSight, Tableau, or similar tools.
- Demonstrated ability to work with business and technical partners to define requirements and deliver against complex business questions.
- Ability to deal with ambiguity and competing objectives in a fast-paced environment.
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