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Data analyst jobs have become increasingly in-demand in recent years due to the growing importance of data-driven decision-making in various industries. According to the Bureau of Labor Statistics, employment of data analysts is projected to grow by 25% from 2019 to 2029, which is much faster than the average for all occupations. Additionally, Glassdoor reported that data analyst was the second-best job in the United States based on job satisfaction, median base salary, and job openings. As of April 2023, there were over 35,000 data analyst job openings on Glassdoor alone. The median base salary for a data analyst in the United States is $76,000 per year, and it can go up to $116,000 per year for more senior roles. With the increasing importance of data in business decisions and the continuous growth of the technology industry, data analyst jobs are expected to continue to be in high demand for the foreseeable future.
According to recent statistics, the tech industry is booming in the United States, with job availability reaching an all-time high. In 2021, the technology sector created over 650,000 new jobs, despite the COVID-19 pandemic. Furthermore, the Bureau of Labor Statistics predicts that employment in computer and information technology occupations will grow by 11% from 2019 to 2029, which is much faster than the average for all occupations. The demand for tech talent is also reflected in the high salaries offered, with the median annual wage for computer and information technology occupations being $91,250 in May 2020, significantly higher than the median annual wage for all occupations. As technology continues to advance and integrate into various industries, the need for skilled tech workers will only continue to rise, creating exciting opportunities for those seeking a career in tech.
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Herndon, VA. Data Scientist Software Developer Position detailed description – Ideal candidate should have a degree in a quantitative field (e.g., mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.). Familiarity with programming for data analysis; Experience with data visualization tools, such as Tableau, Qlik, Power BI, d3.js, or equivalent. Knowledge of any relational database such as My SQL [read more].
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