Systems Analyst; Hybrid

Position: Systems Analyst (Hybrid) - 28339
Location: Hanover

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges. We recognize that the most effective environment for your projects doesn’t always look the same.

Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team’s unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company’s success, so we seek to take care of you as much as you take care of us.

Here are a few highlights of our benefits package:
• 100% paid employee premium for healthcare, vision and dental plans.
• 10% 401k benefit.
• Generous PTO + 10 paid holidays.
• Education/training allowances. Anticipated Salary Range: $ - $. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills.

Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process.

Job Description Enlighten is looking for an experienced Systems Analyst to directly support the full spectrum of Product Management operations and assist in our growth strategy, with special emphasis on the Defense Counterintelligence and Security Agency (DCSA). Work is performed in a hybrid environment with some onsite work 2-3 days a week at customer site as well as occasional travel (e.g., twice per year), as necessary.

#LI-DW2 #Mid-Senior Level Essential

Job Responsibilities Integrates directly into the customer’s daily operations as directed by the Product Manager. Works closely with the product team to master the mission space and customer organization; understands the customer’s data holdings and business needs. Fosters and strengthens existing customer relationships, and works to develop new ones. Works closely with product management, application development, and engineering teams to ensure delivery tracks with customer targets and timelines.

Validates reported issues and provides resolutions on the spot or escalates to the software development team; tracks/reports required fixes to ensure customer satisfaction. Performs data analysis to support reporting, heighten business acumen, and enhance mission-focused decision-making. Interprets complex datasets and translates findings into key/actionable insights. Leverages a working knowledge of common data formats (e.g., CSV, JSON, and XML) and query languages (e.g., SQL) to utilize data within analytical workflows.

Structures and prepares datasets for reporting and analysis, including data transformation, validation, and organization to support repeatable analytics workflows. Prepares a variety of analytical products, reports, charts to provide key business insights for designated customer leaders and managers as directed by the Product Manager. Additional duties as assigned.

Minimum Qualifications Security Clearance: A current Secret level U.S. Government security clearance is required with ability to obtain Top Secret clearance with SCI eligibility; U.S. citizenship required. 5 years relevant experience with a B.A. or B.S. in Business, a technical field, or related; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.

Minimum of 5 years’ experience in analytical problem solving: demonstrated ability to combine business intelligence, data analysis, and emerging AI capabilities to deliver insights that support…