Lead Data Engineer/Analyst

Lead Data Engineer/Analyst

Requirements

• BS, MS, or PhD in a relevant technology field (e.g., data science, computer science, operations research, statistics) or equivalent experience.
• 6+ years of relevant data engineering and analytics experience.
• 3+ years of experience with data visualization tools such as Power BI, Tableau, or Flourish.
• 3+ years of team leadership experience.
• Strong research, analytical, and troubleshooting skills with the ability to gather and interpret relevant data and information.
• Proficiency in project management.
• Ability to work independently and collaboratively within a team.
• Excellent written and verbal communication skills.
• Proven experience navigating complex multi-agency or company-level business goals, analyzing data sets, and identifying trends, patterns, and insights to improve business processes.
• Understanding of agile development methodology.
• 4+ years of experience with SQL (e.g., MS SQL Server).
• Experience with data analysis techniques to facilitate data modeling and work with large data sets.
• Experience working in cloud environments such as Azure, using tools Azure Synapse.
• Proficiency in Python and R programming languages.

Responsibilities

• Expanding Research and operational data sets using data pipelines and ETL processes
• Design, develop, and optimize ETL pipelines to ingest, transform, and distribute large-scale data efficiently.
• Monitor, troubleshoot, and optimize data infrastructure performance, improving query speeds and system efficiency.
• Implement and enforce data governance, quality, and security best practices to ensure data integrity and compliance.
• Build measures, KPI’s, metrics and visualizations that provide visibility into agency operations and the activity around the criminal justice journey
• Lead the data quality review process, elevating issues impacting key data elements
• Synthesize findings into clear and actionable recommendations for improving pretrial operations and outcomes.
• Build and maintain data visualizations using Power BI reports.
• Work to understand complex business problems and provide recommendations to improve reporting processes
• Gather data to support business decisions and research
• Work closely with stakeholders across the organization to identify areas for improvement, raise issues and risks to stakeholders and management
• Collaborate with other technical staff on data pipelines, system improvement, analysis techniques and opportunities for improvement
• Increase data literacy and data expertise through mentoring, collaboration, and development of best practices & documentation
• On-Call Responsibilities: Ensure system and data availability.
• Serve as the escalation point for business processes, systems, and technology. This would include database, query, and report performance
• Ensure data services team understands the priorities and meets key deliverable dates
• Handle the prioritization and triage of planned and ad-hoc request work items, to maximize value to the business
• Focus on team building, working with the data services team to train, mentor, all while helping to center their personal & professional development.

Preferred Qualifications

No preferred qualifications provided.