Senior Data Process Analyst

The Senior Data Analyst is responsible for managing and interpreting our organization's data systems. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement. This position requires active secret clearance.

Responsibilities

• Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
• Identify opportunities for process enhancements
• Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes
• Detect, examine, and decode trends or patterns within intricate datasets
• Employ statistical techniques to scrutinize data and produce actionable business insights
• Your analysis will help extract meaningful insights and trends, which can then inform business decisions and strategies
• Develop data dashboards, charts, and visual aids to support decision-making across departments
• Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights

Basic Qualifications

• 2 years of experience in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
• 2 years of experience in compiling, structuring, examining, and presenting substantial data sets with precision and thoroughness.
• 2 years of experience critically evaluating data to derive meaningful, actionable insights.
• 2 years of experience in communication and presentation of data capabilities with the ability to simplify complex data insights for audiences without a technical background.
• US Citizen with an Active Secret Clearance

Preferred Qualifications

• 4 years of experience in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R.
• 4 years of experience in compiling, structuring, examining, and presenting substantial data sets with precision and thoroughness.
• Ability to work under pressure and meet tight deadlines.
• A deep understanding of the industry and business operations is a plus.

Evolver Federal is an equal opportunity employer and welcomes all job seekers. It is the policy of Evolver Federal not to discriminate based on race, color, ancestry, religion, gender, age, national origin, gender identity or expression, sexual orientation, genetic factors, pregnancy, physical or mental disability, military/veteran status, or any other factor protected by law.