Data Analyst

Parsons Corporation

168d • $86,700 - $151,700

About The Position

In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We’ve got what you’re looking for. Are you ready for a challenge that will keep you on the edge of the US military’s use of big data? Do you have experience overseeing and applying data methodologies to aid in the development of analytic and operational vignettes? Imagine yourself working on a top-level, critical mission alongside other seasoned professionals. Parsons is now hiring a Data Analyst with a passion for innovation and solving novel challenges to support our US INDOPACOM customer.

Requirements

• 2+ years relevant experience with Bachelor's in related field; will consider experience in lieu of degree.
• 2+ years’ experience working in a multi-skilled team environment collaborating on data automation.
• Experience working with structured and unstructured data with the ability to automate data processing and analysis tasks.
• Excellent written and verbal communication skills.
• Ability to convey complex, technical issues in an easy-to-understand manner.
• Strong organizational and planning skills for tracking requests and project fulfillment.
• Active DoD Secret-level security clearance.

Nice To Haves

• Prior military experience supporting US INDOPACOM activities.
• Experience utilizing and applying data visualization tools and techniques.

Responsibilities

• Collaborate closely with stakeholders to understand requirements and meet objectives; perform data collection, analysis, and interpretation to support strategic initiatives.
• Analyze structured and unstructured data, assess value, and provide expertise in the production of use cases for consumption by command staff.
• Explain complex, technically difficult information in an easily understood manner to technical and non-technical audiences.
• Educate and mentor on how to effectively use and interpret data, ensuring customers can independently derive insights and make informed decisions.
• Demonstrate foundational proficiency in programming languages such as Python, R, or SQL.
• Utilize familiarity with machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch).
• Employ data visualization tools (e.g., matplotlib) and big data technologies (e.g., Pandas, Spark).
• Solve complex problems intuitively, working independently with minimal guidance.
• Exhibit strong analytical and problem-solving skills, with a keen attention to detail.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Paid time off
• 401(k)
• Life insurance
• Flexible work schedules
• Holidays

What This Job Offers

• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees