The mid-level dashboard developer uses the power of their analytical skills to assist and improve the defense industry in numerous ways, working closely with customers to understand their questions and needs and dig into their data-rich environment to discover the missing pieces in the information puzzle. Applying specific functional and general industry knowledge, our dashboard developers discover answers to a variety of problems of moderate scope and complexity by developing algorithms, writing scripts, building predictive analytics, maximizing automation, applying machine learning and combining tools and frameworks to turn disparate data points into objective answers that help military leaders make informed decisions. The dashboard developer offers customers a deep understanding of their data, what it all means, and how they can use it, and acts as a trusted source who optimizes the potential of data science for good in the defense industry. At the mid-level, this role works independently with some guidance and may review or guide activities of more junior employees.
What we’re looking for
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 programming languages like Python, with demonstrated experience in 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 effectively.
Basic Qualifications
2+ years of experience with data science or analytics
Experience with building robust analytical models, including forecasts, cost models, and historical trend analyses
