Senior Data Analytics Developer (on site)

ETSU•Johnson City, TN

9d•Onsite

About The Position

The Senior Data Analytics Developer will lead the development and use of data, technology, and reporting tools to help make informed decisions for the Office of Administration Units. This role oversees the collection, organization, and analysis of operational, financial, and administrative information, turning complex data into clear insights that improve performance, identify trends, manage risk, and support strategic planning. The Senior Data Analytics Developer should possess excellent leadership skills with a strong background in data analytics, technology, and process improvement and have a proven ability to build and lead high-performing teams, solve complex problems, and communicate technical information in a way that is meaningful to executives and other stakeholders. Success in this role requires strong analytical skills, attention to detail, excellent written and verbal communication, and a track record of improving efficiency, streamlining operations, and delivering measurable results in complex, highly regulated environments. This role is 100% on-site and is not eligible for remote work.

Requirements

Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics, Software Engineering, or a closely related technical field.
Minimum 5-7 years of progressive experience in systems analysis, enterprise software engineering, data analytics platform development, ETL/data warehousing, and/or business intelligence systems.
At least 3-5 years in a formal supervisory, project lead, or technical leadership role managing multi-person teams.
Demonstrated expertise building and modernizing production-grade applications and data pipelines using Python, SQL, Java/C#, modern web frameworks (e.g., Django, React, .NET), and relational databases (MySQL, PostgreSQL, Oracle).
Proven leadership of Agile teams and CI/CD delivery of complex data/software systems, with documented results in performance optimization, processing-time reduction, and operational efficiency gains.
Excellent leadership, communication, and strategic thinking skills with the ability to translate sophisticated technical solutions and large-scale data insights into clear, actionable recommendations for non-technical senior leaders.
Experience managing cross-functional teams and driving organization-wide data, systems, and process-automation initiatives in high-stakes, regulated, or compliance-sensitive environments (e.g., law enforcement, healthcare, government, or critical infrastructure).
Knowledge of data analytics, business intelligence, and reporting systems.
Knowledge of software development, databases, and modern application technologies.
Knowledge of data management, quality assurance, automation, and system integration.
Knowledge of cloud technologies, security, and software development best practices.
Knowledge of project management, organizational operations, and regulatory/compliance environments.

Nice To Haves

Advanced graduate education, such as a Ph.D. or an additional master’s degree.
Professional certification or advanced training in digital forensics, cybersecurity, or a related investigative or technical discipline.
Demonstrated success in delivering measurable improvements in application performance, data-processing speed, reporting capabilities, or team operational efficiency.
Experience with Microsoft Azure, Docker, CI/CD pipelines, Git-based workflows, and modern DevOps practices supporting the reliable delivery of analytics systems.
Experience leading technical teams, including mentoring software engineers and data professionals, managing performance, and implementing process improvements.
Hands-on experience developing or supporting systems used for financial or operational modeling, budgeting, forecasting, or administrative decision-making through custom development, ETL processes, and analytics platforms.
Experience integrating Tableau or Power BI is preferred but not required when comparable custom solutions have been delivered.

Responsibilities

Lead the development and use of data, technology, and reporting tools.
Oversee the collection, organization, and analysis of operational, financial, and administrative information.
Turn complex data into clear insights that improve performance, identify trends, manage risk, and support strategic planning.
Build and lead high-performing teams.
Solve complex problems.
Communicate technical information in a way that is meaningful to executives and other stakeholders.
Improve efficiency, streamline operations, and deliver measurable results in complex, highly regulated environments.
Develop web applications, databases, and enterprise software solutions.
Analyze complex data and create reports, dashboards, and visualizations.
Automate processes, integrate systems, and improve operational efficiency.
Lead technical projects and implement technology solutions.
Communicate technical information and collaborate with cross-functional teams.
Analyze data and provide actionable recommendations that support organizational decision-making.
Design, develop, and maintain secure, reliable, and scalable technology solutions.
Lead projects, mentor technical staff, and manage competing priorities.
Identify opportunities for process improvement and implement innovative solutions.
Communicate effectively with technical and non-technical stakeholders.
Modernize legacy systems while maintaining operational reliability and compliance requirements.