Dashboard Developer, Mid-Level

General Dynamics Information Technology

Scott Air Force Base (IL)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

General Dynamics Information Technology is seeking a mid-level dashboard developer to turn complex data into actionable insights for defense customers at Scott Air Force Base. You will build dashboards and analytics, collaborate with stakeholders, and apply ML techniques as appropriate.

You will mentor teammates, design ETL pipelines, and present findings to senior leadership. Requires 2+ years in data science or analytics, active Secret clearance, and a BA/BS.

Qualifications

  • 2+ years of experience with data science or analytics.
  • Active Secret clearance.
  • BA or BS degree.
  • Experience with data science projects and building analytical models, including forecasts, cost models, and historical trend analyses.

Responsibilities

  • Develop dashboards and data visualizations to present insights from structured and unstructured data.
  • Analyze data to identify patterns, trends, and opportunities; apply algorithms and machine learning techniques as appropriate.
  • Design and implement ETL pipelines to transform and integrate data from diverse sources, ensuring data quality and accessibility.
  • Collaborate with customers and cross-functional teams to understand questions, gather requirements, and translate them into actionable insights.
  • Develop scripts and automate processes to maximize efficiency and reproducibility of analyses.
  • Present insights to senior leadership and stakeholders; communicate complex results clearly and concisely.
  • Mentor or guide junior team members as needed in a matrix environment.

Skills

Databricks
SQL
Spark
ETL pipelines
Power BI
Tableau
Qlik
Python
Forecasting
Cost modeling

Education

Bachelor's degree

Tools

Databricks
SQL
Spark
Tableau
Power BI
Qlik
Python

Job description

Overview

The mid-level dashboard developer works with data-rich environments to turn complex data into valuable information. This role supports the defense industry by collaborating with customers to understand questions, explore data, and develop dashboards and analytics that inform decision making.

Responsibilities
  • Develop dashboards and data visualizations to present insights from structured and unstructured data.
  • Analyze data to identify patterns, trends, and opportunities; apply algorithms and machine learning techniques as appropriate.
  • Design and implement ETL pipelines to transform and integrate data from diverse sources, ensuring data quality and accessibility.
  • Collaborate with customers and cross-functional teams to understand questions, gather requirements, and translate them into actionable insights.
  • Develop scripts and automate processes to maximize efficiency and reproducibility of analyses.
  • Present insights to senior leadership and stakeholders; communicate complex results clearly and concisely.
  • Mentor or guide junior team members as needed in a matrix environment.
Basic Qualifications
  • 2+ years of experience with data science or analytics.
  • Active Secret clearance.
  • BA or BS degree.
  • Experience with data science or analytics projects and building analytical models, including forecasts, cost models, and historical trend analyses.
Preferred/Additional Qualifications
  • Strong knowledge of distributed computing frameworks; hands-on experience with Databricks, SQL, and Spark.
  • Proficiency in designing and implementing ETL pipelines; experience with data visualization and BI tools (e.g., Qlik, Tableau, Power BI).
  • Advanced programming skills in Python for data processing and analytics.
  • Ability to present insights effectively to senior leadership and collaborate across functions.
  • Excellent time management, organizational skills, and ability to manage competing priorities in a matrix environment.
  • Experience integrating structured and unstructured datasets for actionable insights.

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Note: The content above reflects job responsibilities, qualifications, and expectations as described by the employer.

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