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Data Analyst I/II Jobs

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Data Analyst I/II
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United States , Audubon
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Not provided
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Synkriom
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Until further notice
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Launch your career in a high-demand field by exploring Data Analyst I/II jobs. These entry to early-career positions are the foundational gateway into the world of data, where professionals transform raw information into actionable insights that drive business decisions. A Data Analyst I/II is responsible for collecting, processing, and performing statistical analyses on data sets. Their core mission is to identify trends, develop charts, and create visual presentations that help stakeholders understand the data's narrative and implications. This role is critical across virtually every industry, from finance and healthcare to marketing and technology, making these jobs versatile and widely available. Typical daily responsibilities for a Data Analyst I/II include designing and maintaining data systems and databases, which involves fixing coding errors and other data-related problems. They gather data from primary and secondary sources, then filter and clean it to ensure accuracy and reliability for analysis. A significant portion of their work involves using statistical tools to interpret data sets, focusing on trends and patterns that could be valuable for diagnostic and predictive analytics. They routinely prepare reports for management, effectively communicating their findings through visualizations like graphs, charts, and dashboards. Collaboration with programmers, engineers, and organizational leaders to identify process improvement opportunities, propose system modifications, and develop data governance policies is also common. To succeed in Data Analyst I/II jobs, candidates generally need a blend of technical and soft skills. A bachelor's degree in data science, statistics, computer science, information systems, mathematics, or a related field is a typical entry requirement. Proficiency in key tools is essential: SQL for querying databases, Excel for data manipulation and pivot tables, and visualization software like Tableau or Power BI. Programming knowledge in Python or R for more complex statistical analysis is increasingly sought after. Foundational understanding of statistical analysis and database management concepts is crucial. Equally important are strong analytical and problem-solving skills to approach data challenges methodically. Excellent communication skills are non-negotiable, as analysts must translate complex technical findings into clear, actionable business recommendations. Attention to detail, curiosity, and the ability to manage multiple tasks in a dynamic environment are the hallmarks of a promising candidate. For those with a passion for uncovering stories hidden within numbers, Data Analyst I/II jobs offer a rewarding path with significant growth potential into senior analytical or data science roles.

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