Mid-Level Data Analyst

AMO is looking for a Mid-Level Data Analyst to work in Indian Head, MD.

• Perform data analysis, data mining, statistical analysis, and operations research to support analytics objectives.
• Support software integration and testing activities, including analyzing, developing, and implementing test plans and test scripts.
• Use scripting languages such as Python and R to perform data analysis and advanced analytics.
• Apply data science packages, tools, and methodologies commonly used for advanced analytics.
• Apply statistical methods, operations research techniques, and analytical tools to evaluate data and support decision-making.
• Work with structured and unstructured data using technologies such as Structured Query Language (SQL) and Non-Structured Query Language (No
  
  SQL).
• Build and support Application Programming Interfaces (APIs) and Extract, Transform, and Load (ETL) pipelines.
• Work with Web Application Servers and Search Index technologies as applicable to data integration and analytics efforts.
• Apply data science, data mining, statistical, and graph algorithm techniques to support analytical requirements.
• Develop and use analytical solutions with tools and technologies such as Python, Jupyter Notebook, Pandas, Num Py, and Requests.
• Apply complex mathematical and statistical concepts to analyze data and solve operational and analytical problems.
• Use spreadsheets and related tools for data manipulation, analysis, and visualization.
• Support the development, testing, validation, and documentation of analytical solutions and data-driven products.
• Collaborate with technical and analytical teams to identify data sources, evaluate information, and support project objectives.

• Bachelor’s degree (BA/BS) in a related field is desired. An Associate’s degree (AA/AS) and four (4) additional years of related experience may be substituted for the Bachelor’s degree.
• Seven (7) years of experience in operations research is required.
• Demonstrated experience applying statistical and operations research methods and tools.
• Experience with data analysis, data science, data mining, statistics, or advanced analytics.
• Experience with software integration and/or testing, including test plans and test scripts.
• Experience using scripting languages such as Python and R.
• Experience working with data science and advanced analytics packages and tools.
• Experience with SQL and/or No
  
  SQL databases.
• Experience with APIs, ETL pipelines, Web Application Servers, and/or Search Index technologies.
• Experience using tools such as Jupyter Notebook, Pandas, Num Py, and Requests.
• Ability to apply mathematical and statistical concepts to complex analytical problems.
• Experience using spreadsheets for data manipulation, analysis, and visualization.
• Active Secret security clearance or the ability to obtain and maintain a Secret clearance.

• Relevant industry certification in data analytics, cloud technologies, cybersecurity, or related technical disciplines.
• Experience with graph algorithms and advanced data science methodologies.
• Experience developing or supporting data-driven applications and analytical solutions.
• Experience with complex datasets and integrating data from multiple sources.
• Experience supporting U.S. Government, Department of Defense, or other federal programs.

• CompTIA Cloud Essentials
• Microsoft Technical Associate (MTA)
• Certificate of Cloud Security Knowledge (CCSK)
• CompTIA A+
• CompTIA Security+
• EMC Data Science Associate (EMCDSA)
• Cloudera Certified Data Scientist (CCDH)
• Certified Apache Hadoop Developer (HCAHD), Hortonworks
• Certified Information Systems Security Professional (CISSP)
• Certified Cloud Professional (CCP), Cloudera
• Microsoft Certified Professional…