We are looking for a certified Data Analyst who will help us turning data into information, getting insights and developing business decisions based on the analysis results. Your responsibilities will include conducting full lifecycle analysis to include requirements, activities and design and also monitor performance and quality control plans to identify improvements.
We expect you to possess analytical mindset with creative approach to tasks and the ability to find patterns and correlation when dealing with big volumes of information. You should also be able to work under a flexible schedule and report on your findings in a detailed and straightforward manner.
About Intelligent Payload Solutions:
At Intelligent Payload Solutions, we are at the forefront of technological innovation, revolutionizing data science, AI, and cybersecurity. Located in Colorado Springs, we are not just a software company but a team of visionaries shaping the future. Our work spans from architecting cloud solutions for the U.S. Government to modernizing legacy systems for FinTech organizations. We prioritize work-life balance, offering generous time-off benefits, a 401k match, an equity sharing program, and a remote-first work approach. Join us to become part of something significant!
Manage databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Collect required data, analyze results using statistical techniques and provide ongoing reports
Retrieve information from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Review computer reports, printouts, and performance indicators to locate and correct code problems
Collaborate with management to prioritize business and information needs
Find and evaluate new process improvement opportunities
2+ years' experience of working on a Data Analyst or Business Data Analyst position
Significant experience of working with data models, database design development, data mining and segmentation techniques
Excellent knowledge of statistics and experience using statistical packages for analyzing datasets, including Excel, SPSS, SAS and so on
Good practical experience with reporting packages (e.g. Business Objects), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Good report writing and presenting skills
BS degree in Mathematics, Economics, Computer Science, Information Management or Statistics
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