Data Analyst - SolidFire
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Job Summary:
The Data Management and Analytics team charter is to provide data analysis and management services to the entire organization to generate actionable decisions. We are looking for a Data Analyst.
Successful candidates will turn data into information, information into insight, and insight into business decisions.
They will also be curious, friendly, excited by new technology, flexible, detail-oriented and collaborative.
Responsibilities:
- Query noSQL and SQL DBs, interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, and data analytics
- Acquire data from primary and/or secondary data sources and maintain data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and "clean" data
- Work with peers and management to prioritize information needs
- Look for opportunities to continually improve processes and products
Requirements:
- Expertise with data models, DB design development, data mining and/or segmentation techniques; experience using AWS is a plus
- Strong knowledge of and experience with reporting packages, databases that are both structured (SQL) and highly unstructured (Nested JSON and noSQL), and programming (Python, R, etc.)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Python, R, Matlab/Octave, SPSS, etc.)
- Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings (Hive, SparkSQL, Presto, etc)
Education & Experience:
- A minimum of 5 years of experience is required. 6 to 8 years of experience is preferred
- A Bachelor of Science Degree, or a Master Degree, or a PhD in Mathematics, Computer Science, Statistics, Physics, or other STEM field, or equivalent experience is required
- Demonstrated ability to have successfully completed multiple, moderately complex technical tasks
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