POSITION: Data Analyst
 
JOB LOCATION: Gaithersburg, MD and other unanticipated sites throughout US
 
DESCRIPTION: Use statistical methods to analyze data and generate useful business
 reports. Identify and recommend new ways to save money by streamlining business
 processes. Work with programmers, engineers, and management heads to identify
 process improvement opportunities, propose system modifications, and devise data
 governance strategies. Implement various development, testing, automation and
 predictive advanced data analytical tools. Define and set development, test, release,
 update, and support processes for Robotic Process automation (RPA) solutions.
 Troubleshoot techniques and fix the automation code bugs. Integrate code, build, and test
 functions to smoothly function the multiple iterations of the RPA build cycle
 management. Encourage and build automated processes wherever possible across
 Business divisions. Identify and deploy information security, and data confidentiality
 measures by continuously performing vulnerability assessment and risk management.
 Process and program control management and root cause analysis. Support multi
 automation platforms including Automation Anywhere, Blue Prism, UI Path, and
 advanced analytical tools development using R Language and Python. Drive Lean Six
 Sigma Projects across functions delivering tangible and non-tangible benefits impacting
 bottom and top line margin of assigned client projects. Use statistical tools to identify,
 analyze, and interpret patterns and trends in complex data sets. Assign numerical value
 to essential business functions so that business performance can be assessed and
 compared over periods of time. Analyze local, national, and global trends that impact
 both the organization and the industry. Prepare reports for management stating trends,
 patterns, and predictions using relevant data, and final analysis reports for stakeholders.
 
REQUIREMENTS: Bachelor’s degree in any field. 2 years experience in job offered or
 2 years experience as Data Engineer, Business Intelligence Analyst, IT Services Manager
 or related occupation.
 
HOURS: 9 AM to 5 PM, 40 hours/week
 
SALARY: $126,000/year
 
CONTACT: Nidhi Gururani, Program Manager
