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Data Analysis Manager in Seattle, WA

Data Analysis Manager Job Description

Data analysis managers lead teams that transform raw data into actionable insights, helping organizations make informed decisions and optimize performance. These professionals oversee data strategy, ensure data integrity and collaborate across departments to support business goals.

Typical data analysis manager duties:

Managing data analytics projects from conception to executionLeading a team of analysts to deliver accurate and timely insightsDeveloping reports and data visualizations and maintaining dashboardsCollaborating with stakeholders to define key metrics and reporting needsEnsuring data quality, consistency and compliance with governance standardsIdentifying trends, patterns and opportunities through advanced analyticsSupporting strategic initiatives with data-driven recommendationsEnhancing data infrastructure and tools to improve efficiencyStaying current on industry best practices, technologies and methodologies

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Salary for Data Analysis Manager in Seattle, WA
151253 - 211560
Low
151253
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
184793
The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.
High
211560
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
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Our starting salary projections come from a rigorous, multistep process so that our numbers accurately reflect the marketplace. They are based on actual compensation for professionals Robert Half has matched with employers across the country and third-party job posting data from Textkernel that we use to independently validate the salary levels. Starting compensation—pay for someone new to a role—can vary significantly based on a candidate’s skills, experience and certifications, as well as other factors including industry, company size and revenue, and demand for the role. To reflect this variability, we report our salary data in three levels: low, mid and high.