Quick Summary
Leadership & Team Development Drive engagement, development, and performance of team members. Mentor and coach data analysts and decision scientists in best practices, methodology,
Responsibilities
~1 min read-
Drive engagement, development, and performance of team members.
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Mentor and coach data analysts and decision scientists in best practices, methodology, and privacy/security standards.
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Extract, synthesize, and clean data from multiple sources, including Azure Data Lake, SQL Server, Oracle, and other legacy systems.
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Conduct exploratory data analysis, aggregate data, and ensure privacy-compliant handling of 1st, 2nd, and 3rd-party customer data.
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Guide the team in preparing unfamiliar or complex datasets for analysis.
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Produce standard and custom reports, charts, graphs, and dashboards from structured data sources.
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Translate complex data into actionable insights and effectively communicate findings to non-technical stakeholders.
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Mentor the team on best practices for visualization, storytelling, and privacy-compliant reporting.
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Procure and reshape large-scale, complex datasets for analysis across cloud (AWS, Azure) and on-premise systems.
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Identify anomalies, data issues, and work cross-functionally to resolve them.
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Apply statistical and predictive modeling techniques (regression, clustering, survival analysis, anomaly detection, factor analysis, etc.) to drive business decisions.
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Coach team members on code, methodology selection, and model development.
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Develop deep understanding of business problems and key metrics.
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Partner with stakeholders to identify core questions and design optimal solutions.
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Operationalize insights by integrating analytics into business processes and driving KPI-focused improvements.
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Lead analytics refresh exercises and model/rule tuning processes.
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Collaborate across organizational levels to evangelize advanced analytics and decision sciences.
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Foster a culture of curiosity, rigor, and passion for analytics across the team.
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Strong proficiency in SQL, SAS, Python, or R
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Skilled in Microsoft Office (Excel, PowerPoint)
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Solid understanding of statistics (descriptive, regression, etc.)
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Experience with cloud data platforms (Azure, AWS) and BI tools (Tableau, Power BI)
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Ability to handle and maintain the confidentiality of sensitive information
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Strong analytical, problem-solving, and communication skills
Location & Eligibility
Listing Details
- First seen
- March 26, 2026
- Last seen
- April 28, 2026
Posting Health
- Days active
- 32
- Repost count
- 0
- Trust Level
- 20%
- Scored at
- April 28, 2026
Signal breakdown
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