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High competition due to Tier-1 brand, generalist data analyst title, mid-level range, metro location, and broad skill requirements.
Low because analytical, SQL, and cloud skills are broadly transferable across industries.
High due to explicit 2–5 year requirement and specific big-data stack plus predictive modelling experience.
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Collaborate with business leaders to define data requirements, develop predictive models, and extract actionable insights to support decision-making.
Query and integrate data from various big data platforms (Teradata, SQL Server, Hadoop, AWS) for comprehensive analysis and measurement of business performance.
Ensure compliance with data governance policies while conducting exploratory data analysis, hypothesis testing, and evaluating campaign effectiveness.
Bachelor's Degree preferred; combination of coursework and experience or extensive related professional experience may be considered.
2-5 years of relevant work experience.
Proficiency with big data platforms including Teradata, SQL Server, Hadoop, and AWS for querying and analysis.
Ability to work nights, weekends, and variable schedules as necessary.
Experienced in advanced analytics with hands-on skills in self-service tools and predictive modeling to identify key business drivers.
Comfortable independently managing significant analytical projects and exercising sound judgment.
Capable of collaborating across multiple teams and handling complex data integration tasks in a fast-paced, variable schedule environment.