Job Description
-Gather, normalize, and integrate data from multiple sources
-Develop and maintain data pipelines to support ongoing monitoring, analysis, and reporting.
-Support with analysis of throughput, delay reduction, queue management, and overall efficiency improvements.
-Analyze data from test events including Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Operational Readiness Demonstrations (ORD).
-Provide quantitative assessments and visualizations
-Design and maintain dashboards and visual reporting tools (e.g., Power BI, Tableau) to present key performance indicators (KPIs) for internal and external stakeholders.
-Tailor dashboards to support roles such as system engineers, site implementation leads, and program managers.
-Identify trends, anomalies, and outliers in operational data; perform root cause analysis to uncover system issues or inefficiencies.
-Generate actionable insights to inform system enhancements, procedural changes, or additional training needs.
-Validate the accuracy, completeness, and consistency of datasets, identifying and resolving data integrity issues.
-Collaborate with systems engineers and developers to ensure data logging and telemetry meet analysis requirements.
-Contribute to the development of models that support predictive surface metering, queue estimation, and traffic flow optimization.
-Assist in evaluating model performance and recommending improvements based on historical data trends.
-Translate technical requirements into data products that support program goals and decision-making.
-Ensure data handling complies with data governance policies, privacy requirements, and cybersecurity standards.
-Maintain proper documentation of methodologies, assumptions, and data sources to ensure transparency and reproducibility.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
-Must be eligible to obtain a Public Trust Clearance.
-Bachelor’s degree in data science, Statistics, Computer Science, Economics, or a related field.
-Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI).
-Experience with statistical analysis and tools like Python, R, or Excel.
-Strong problem-solving and critical-thinking skills.
-Excellent communication and presentation abilities.
-Attention to detail and a passion for data accuracy
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.