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Common Data Analyst title, mid-level experience band, metro location, and known consulting brand increase applicant competition.
Core data analysis skills are highly transferable across industries, lowering background sensitivity.
No explicit years but required analytical skills and SQL/Python nice-to-haves make filters moderately strict.
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Gather, maintain, and analyze complex datasets to identify trends and coding errors.
Develop dashboards and visualizations to support decision-making across departments.
Collaborate with management and business units to align priorities and specify data requirements for tailored analysis projects.
Bachelor's degree in Computer Science, Information Management, Statistics, or related field.
Experience with statistical software, particularly Excel, and data analysis.
Strong analytical skills to compile, clean, and analyze large data sets accurately.
Superior communication and presentation skills to simplify complex data insights for non-technical audiences.
Experienced operating at the intersection of data analysis and business decision support with cross-departmental collaboration.
Skilled in translating complex datasets into actionable insights and visuals that influence management priorities.
Comfortable working with statistical tools and data dashboards to improve process efficiency and inform business strategy.