Data Analyst

Job Title : Data Analyst

Job Type: Contract (W2)

Location: Washington D.C., DC, USA

Duration: 6+ Months

Start Date: Immediate

About US At Vilwaa (, we are focused towards delivering IT services and solutions in Data Engineering, Cloud Infrastructure solutions, Digital Application Development, (IoT) - Internet of Things.

We are seeking an experienced Data Analyst with deep expertise in WAN assessments to lead and deliver end-to-end enterprise transformation. You ll be working directly with client stakeholders to guide them through requirements, configuration, integration, and post-go-live support.

Job Description

• Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Experience with advanced regression methods and causal inference methods (differences-in-differences, regression discontinuity, etc.)
• The tasks of a data analyst encompass executing a comprehensive lifecycle analysis, which includes requirements gathering, activities, and design. Data analysts will cultivate analytical and reporting competencies. They will also oversee performance and quality control strategies to find enhancements.
• Interpret data, analyze results utilizing statistical methodologies, and furnish continuous reports.
• Design and execute databases, data collection methods, data analytics, and additional tactics that enhance statistical efficiency and quality.
• Obtain data from primary or secondary sources and manage databases/data systems
• Recognize, evaluate, and elucidate trends or patterns in intricate data sets
• Refine and sanitize data by examining computer reports, printouts, and performance metrics to identify and rectify coding issues
• Collaborate with management to prioritize organizational and informational requirements.
• Identify and delineate potential for process enhancement.
• Interpret data, analyze outcomes utilizing statistical methods, and deliver continuous reports.
• Design and execute databases, data collection methods, data analytics, and additional tactics that enhance statistical efficiency and quality.
• Obtain data from primary or secondary sources and manage databases/data systems
• Recognize, examine, and elucidate trends or patterns in intricate data sets
• Refine and sanitize data by examining computer reports, printouts, and performance metrics to identify and rectify coding issues
• Collaborate with management to prioritize organizational and informational requirements.
• Identify and delineate novel potential for process enhancement.
• Proficient in sophisticated regression techniques and causal inference methodologies (such as differences-in-differences and regression discontinuity).
• Experience with WAN assessments.
• PM experience is highly preferred.