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IT Systems Data Analyst United States Jobs

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People Data Analytics & Systems Analyst
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Join Archer as a People Data Analytics & Systems Analyst in San Jose. You will optimize HR systems and data workflows to drive strategic workforce insights. This hands-on role requires 5+ years of experience in people analytics, data visualization, and translating data into actionable recommendat...
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United States , San Jose
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Archer Aviation
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Until further notice
Human Resources Systems and Data Analyst
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United States , Dallas
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Crow Holdings
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Until further notice
Business Systems Analyst (Data Integration Projects)
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Join our team in West Des Moines as a Business Systems Analyst, specializing in data integration projects. You will leverage your SQL, ETL, and analytical skills to design solutions and collaborate with cross-functional teams. We seek a candidate with strong problem-solving abilities and a backgr...
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United States , West Des Moines
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Robert Half
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Until further notice

About the IT Systems Data Analyst role

Explore a world of opportunity in IT Systems Data Analyst jobs, a dynamic career path that sits at the crucial intersection of information technology, data science, and business operations. Professionals in this role are the vital link, ensuring that an organization's core software systems not only function seamlessly but also become powerful engines for data-driven decision-making. They possess a unique blend of technical expertise and business acumen, allowing them to translate complex data and system functionalities into actionable business intelligence.

A typical day for an IT Systems Data Analyst involves a diverse set of responsibilities centered on system management, data flow, and user support. On the systems side, they are often responsible for the administration and configuration of key enterprise software, such as ERP (Enterprise Resource Planning) or CRM (Customer Relationship Management) systems. This includes managing user access and permissions to ensure security, performing routine system maintenance and health checks, and troubleshooting technical issues raised through IT support tickets. Their goal is to maintain system integrity, optimize performance, and ensure reliability for all end-users.

The data aspect of the role is equally critical. These analysts are tasked with designing, extracting, transforming, and analyzing data from various systems. They write complex SQL queries to interrogate databases, build and maintain ETL (Extract, Transform, Load) processes for data integration, and develop comprehensive dashboards and reports using visualization tools like Power BI, Tableau, or Qlik. By structuring datasets and performing in-depth analysis, they uncover trends, identify inefficiencies, and generate the insights that help shape business strategy. Furthermore, they frequently collaborate with cross-functional teams to gather requirements, streamline data workflows, and ensure that new system enhancements or data projects align with organizational goals.

To succeed in these jobs, a specific skill set is required. Technical proficiency is paramount, with strong skills in SQL for database querying being almost universal. Experience with specific ERP or business system platforms is highly valued, as is knowledge of data visualization tools and ETL concepts. Beyond technical prowess, successful analysts exhibit sharp analytical and problem-solving abilities to diagnose both system and data-related issues. Excellent communication and interpersonal skills are essential for bridging the gap between technical teams and non-technical business stakeholders. Typically, employers seek candidates with a bachelor’s degree in computer science, information systems, data analytics, or a related field, complemented by several years of hands-on experience in a systems-focused data role.

If you are a technically-minded problem solver who is passionate about harnessing data to improve business outcomes, exploring IT Systems Data Analyst jobs could be your next career move. This profession offers the chance to work at the heart of modern business, turning complex information into a clear competitive advantage.

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