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Business Intelligence Analyst in Canton, OH

Business Intelligence Analyst Job Description

Business intelligence analysts help organizations turn data into strategic insights that drive decision making and performance. These professionals collect, analyze and visualize data to uncover trends; identify opportunities for business growth, process optimization and risk mitigation; and support business objectives across departments.

Typical business intelligence analyst duties:

Designing and developing dashboards, reports and data visualizationsGathering and analyzing data from internal and external sourcesIdentifying patterns, trends and insights to support strategic initiativesCollaborating with stakeholders to define key metrics and reporting needsEnsuring data accuracy, consistency and integrity across platformsSupporting data-driven decision making through predictive and prescriptive analyticsEnhancing business intelligence tools and processes for scalability and efficiencyConducting ad hoc analysis to address specific business questionsStaying current on BI technologies, methodologies and industry best practices

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Salary for Business Intelligence Analyst in Canton, OH
57270 - 86320
Low
57270
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
70965
The candidate has moderate experience in the role, meets most requirements or has equivalent transferable skills, and may also have relevant certifications.
High
86320
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.