PAI/PAEI Data Analyst

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 intelligent, diverse 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.

Job Description:

Parsons is looking for an amazingly talented Public Available Electronic Information (PAEI) Data Analyst to join our team. You will work closely with our DCSA partners as well as data engineers, analysts, and other stakeholders to ensure that our data-driven initiatives are effective and aligned with our organizational goals.

Note: Preference will be given to candidates in the NCR that can commute to Hanover, MD and be on-site 2x days a week. 

What You'll Be Doing:

• Collect, clean, and analyze large datasets from publicly available electronic sources to identify trends, patterns, and insights that can inform business decisions

• Develop and maintain dashboards and reports to visualize data and communicate findings to stakeholders

• Ensure the accuracy, completeness, and consistency of data by implementing data validation and quality control processes

• Collaborate with data engineers to design and maintain data collection processes, ensuring the integrity and quality of data from various public sources

What Required Skills You'll Bring:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.

• A minimum of 2 years of experience in data analysis or a related role

• Proficiency in data analysis tools and programming languages such as SQL, Python, or R

• Strong experience with data visualization tools such as Tableau, Power BI, or similar

• Familiarity with data cleaning and preprocessing techniques

• Excellent problem-solving skills and attention to detail

• Strong communication and collaboration skills, with the ability to work effectively in a team environment

What Desired Skills You'll Bring:

• Experience with web scraping tools and techniques

• Knowledge of statistical analysis and modeling

• Familiarity with big data technologies such as Hadoop or Spark

• Understanding of data privacy and security best practices

Minimum Clearance Required to Start:

Secret

This position is part of our Federal Solutions team.

Our Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our diverse, intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: 

$83,300.00 - $168,700.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.

Parsons is an equal opportunity employer committed to diversity, equity, inclusion, and accessibility in the workplace. Diversity is ingrained in who we are, how we do business, and is one of our company’s core values. Parsons equally employs representation at all job levels for minority, female, disabled, protected veteran and LGBTQ+.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Apply