Data Analyst 2

Responsible for working cross-functionally to collect data and develop models to determine trends utilizing a variety of data sources.

• Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements.
• Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed.
• Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools.
• Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS.
• Combines data as needed from disparate data sources to complete analysis.
• Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing.
• Develops forecasting models to predict sales, demand and other key business metrics.
• Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement.
• Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers.
• Promotes and evangelizes a culture of excellence, data-driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork.
• Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.

• Bachelor's Degree
• 2-5 Years

• Paid Time off
• Physical Wellbeing
• Financial Wellbeing
• Emotional Wellbeing
• Life Events + Family Support

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