Dashboard Developer, Mid-Level

Job Description

In an increasingly connected world, massive amounts of structured and unstructured data open up endless opportunities. Our dashboard developers unlock secrets held by data sets and explore new possibilities presented by IoT, machine learning, and artificial intelligence. They turn complex data sets into valuable information to solve global challenges across private and public sectors—from fraud detection to cancer research to national intelligence—by providing actionable insights that help leaders make informed decisions.

• Solid experience in distributed computing frameworks with hands‑on expertise in Databricks, SQL, and Spark.
• Proficient in designing and implementing ETL pipelines to transform and integrate data efficiently from diverse sources.
• Expertise in data visualization and business intelligence using tools such as Qlik, Tableau, and Power BI, with the ability to create intuitive dashboards and clear, actionable insights.
• Strong analytical modeling experience, including the development of forecasts, cost models, and trend analyses.
• Advanced proficiency in Python, with demonstrated experience writing efficient, scalable scripts for data processing and analytics.
• Ability to present insights effectively to senior leadership and collaborate with cross‑functional teams to meet organizational objectives.
• A curious, independent thinker who enjoys tackling challenging problems, offering creative solutions, and continuously seeking opportunities to innovate.
• Excellent time‑management and organizational skills to manage competing priorities in a complex matrix environment.

• 2+ years of experience with data science or analytics.
• Experience building robust analytical models, including forecasts, cost models, and historical trend analyses.
• Ability to navigate a complex matrix environment and manage competing priorities.
• Active Secret clearance.
• BA or BS degree.

• Strong knowledge of SQL and Python, with the ability to integrate structured and unstructured datasets into actionable formats.
• Experience facilitating training for BI tools to empower teams with self‑service analytics capabilities.
• Understanding of data‑management practices within the DoW environment, leveraging SQL or SAS for database manipulation and integration workflows.
• Outstanding communication skills to align stakeholder needs, articulate development plans, and track progress effectively.
• Exceptional critical thinking and statistical analysis capabilities, with the ability to derive actionable conclusions from complex data patterns.

• 401(k) with company match.
• Comprehensive health and wellness packages.
• Internal mobility team dedicated to career growth.
• Professional development opportunities, including paid education and certifications.
• Access to cutting‑edge technology.
• Paid vacation and holidays.

• Work Location:
  
  USA, IL, Scott AFB.
• Scheduled Weekly
  
  Hours:
  
  40.
• Travel Required:
  
  Less than 10%.
• Telecommuting Options:
  Onsite.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans