Data Specialist
Town of Normal
Job Description
The starting salary is $71,028 to $92,232, depending upon qualifications. The full salary range for this position is up to $112,958.
Are you passionate about harnessing data to drive smart city transformation, elevate government performance, and foster a culture of transparency and innovation? The Town of Normal’s Innovation & Technology (I&T) Department is looking for a mission-driven and collaborative Data Specialist to shape how data empowers our community.
In this exciting role, you will lead end-to-end data initiatives—from collecting and transforming data to visualizing insights and developing data governance frameworks. You’ll work closely with departments to identify opportunities for data-driven improvements, build capacity through training, and champion open data and transparency efforts.
You will also play a critical role in advancing the Town’s What Works Cities Certification—a prestigious national standard for data-informed governance—by supporting assessments, performance tracking, and aligning Town practices with best-in-class benchmarks. Additionally, you’ll contribute to shaping the Town's Artificial Intelligence (AI) strategy and integrating data into cutting-edge technologies like IoT and digital twins.
If you thrive in a dynamic, forward-thinking environment and are excited to use data for the public good, this role is for you!Duties/Essential Job Functions
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- Data Collection, Integration & Automation
- Extract, transform, and load (ETL) data from multiple sources and systems.
- Develop automated data pipelines and scripts to streamline data workflows.
- Integrate data from APIs, databases, and third-party platforms.
- Maintain a comprehensive data inventory across departments, including metadata, source, and access levels.
- Analysis & Visualization
- Conduct exploratory and statistical analysis to uncover trends and patterns.
- Build interactive dashboards and reports using Power BI, ArcGIS, or similar tools.
- Develop predictive models and perform hypothesis testing to support strategic initiatives.
- Communicate findings effectively to technical and non-technical audiences.
- Data Governance & Quality Assurance
- Assist in implementing data policies, including data classification and open data policies.
- Evaluate and improve data quality, completeness, and readiness for publication.
- Ensure datasets meet compliance and security standards such as PII and sensitive data.
- Cross-Departmental Collaboration, Training & Certification Support
- Partner with departments to define KPIs and metrics that align with business goals and support accountability measures.
- Lead the Town's Data Innovation Team (iTeam) and create resources to improve data literacy.
- Provide technical documentation, user guides, and process maps.
- Support transparency by contributing to open data initiatives and public-facing dashboards.
- Innovation, Research & Smart City Integration
- Collaborate on the Town’s pursuit and maintenance of What Works Cities Certification by contributing to data assessments, benchmarks, and reporting deliverables.
- Help track progress toward certification standards and assist in aligning departmental practices with What Works Cities’ data-driven governance criteria.
- Monitor industry trends and recommend enhancements to the Town’s data strategy.
- Contribute to integration of data with smart city tools such as IoT sensors, digital twins, or AI-based analytics.
- Participate in special projects and assume additional responsibilities as needed.
- Data Collection, Integration & Automation
Required Knowledge, Skill and Abilities
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- Technical Skills
- Intermediate to advanced understanding of
- SQL skills and experience working with relational databases;
- data visualization platforms (e.g., Power BI, ArcGIS).;
- Python or other scripting languages and automated data workflows;
- Working knowledge of
- HTML and CSS
- windows PowerShell.
- connectors such as APIs, and ODBC;
- Machine Learning and Large Language Models (LLMs);
- Generative AI models & frameworks e.g. OpenAI family, open source LLMs, Dall-e
- DevOps tools like GIT
- High level proficiency with ETL tools and techniques, reporting systems, and data modeling.
- Understanding data classifications, privacy regulations, and governance standards.
- Intermediate to advanced understanding of
- Analytical & Communication Skills
- Ability to conduct statistical analysis and interpret complex datasets.
- Clear written and verbal communication skills, including ability to translate data concepts to technical and non-technical audiences.
- Strong documentation, report writing,
- Ability to teach data concepts and tools to various audience.
- Organizational & Project Skills
- Excellent time management and multitasking abilities.
- Detail-oriented with a strong sense of accountability.
- Self-starter with a collaborative mindset and ability to work across departments.
- Ability to ask the right questions and understand business needs
- Other Requirements
- Must possess a valid Driver’s License.
- Must pass a criminal background check and polygraph.
- Public sector experience is a strong plus.
- Technical Skills
Desirable Training and Experience
A bachelor’s degree from an accredited college or university in data science, mathematics, statistics, economics, or computer science or four years of relevant data management and/or data as a service experience. Completed coursework, training, or continued education in a related field, including but not limited to, Data Analytics, Computer Science, and/or skills-based training.