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Data Analyst

Data Analyst Job Description

This role focuses on insights from technical data to support decision-making and improve technology and business operations. The data analyst also analyzes vast datasets, identifies trends, and communicates findings to technical and non-technical audiences.

Typical data analyst duties:

Collaborate with IT and engineering teams to identify and access relevant data sources (e.g., databases, logs, application metrics). Ensure data quality and accuracy through cleaning, validation, and normalization techniques. Utilize statistical methods, data visualization tools (e.g., dashboards, charts) to analyze and interpret data for storytelling. Generate reports and presentations that effectively communicate insights to technical and non-technical stakeholders.

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Salary for Data Analyst
74250 - 111750
Low
74250
The candidate is new to the role or has limited experience and is building necessary skills.
Mid
89500
The candidate has moderate experience in the role, meets most requirements or has equivalent transferrable skills, and may also have relevant certifications.
High
111750
The candidate has extensive experience and advanced skills for the role, and may also have specialized certifications.
Projected salaries for related positions Job title Low Mid High Data Architect 111750 145500 176500 Data Engineer 120250 143000 169000 Data Warehouse Analyst 82750 102500 130000 Database Manager 104500 134250 158750 Database Developer 101000 114750 138750 Database Administrator 76750 95250 121500 Business Intelligence Developer 83250 104500 125250 IT Business Intelligence Analyst 74750 94500 115250

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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.