Data Analytics Specialist

Summary Of Job Responsibilities

The Data Analytics Specialist at Colorado PERA plays a critical role in advancing the organization's mission through modern, data-driven practices. This position is focused on enabling effective use of data across the organization by establishing scalable analytics workflows, improving access to trusted data, and empowering employees through education, training, and analytics enablement.

Working closely with business and technical teams, this role transforms data into actionable insights that support strategic and operational decision-making. The Data Analytics Specialist serves as a champion for data literacy, self-service analytics, and continuous improvement while helping expand PERA's analytics capabilities and modern data ecosystem. This role offers a unique opportunity to help shape the future of analytics at PERA by influencing how data is accessed, analyzed, and leveraged across the enterprise.

Our ideal candidate is a highly analytical, curious, and service-oriented professional with strong technical, communication, and problem-solving skills. They are passionate about helping others use data effectively and are comfortable working at the intersection of analytics, technology, and business strategy. They excel at building scalable analytics processes, simplifying complex data concepts, and translating business needs into actionable insights. They enjoy partnering with stakeholders, developing analytics capabilities in others, and creating intuitive data experiences that empower employees to make informed decisions.

This individual is equally motivated by delivering meaningful analysis, improving organizational data literacy, and helping build a mature analytics culture across PERA.

Employees are held accountable for all duties of the job. Individuals must be able to perform these duties with or without reasonable accommodations.

• Analytics Workflow Development & Optimization
  • Design and continuously improve scalable workflows for analytics intake, prioritization, development, and delivery.
  • Establish standards, templates, and best practices that improve the consistency, quality, and efficiency of analytics solutions.
  • Develop analytics products, reporting frameworks, and performance measures that support organizational goals.
  • Partner with stakeholders to identify opportunities where data and analytics can improve business outcomes and decision-making.
  • Evaluate and recommend enhancements to analytics tools, processes, and methodologies.
• Data Literacy & User Enablement
  • Lead initiatives that increase data literacy and foster a culture of data-informed decision-making across the organization.
  • Serve as a subject matter expert for Power BI and related analytics tools.
  • Develop and deliver training programs, workshops, documentation, and learning resources for users with varying levels of technical expertise.
  • Establish and support user communities, communities of practice, and knowledge-sharing opportunities that encourage adoption and continuous learning.
  • Coach and support stakeholders in the effective use, interpretation, and communication of data and analytics.
• Data Analysis & Visualization
  • Analyze organizational data to identify trends, risks, opportunities, and actionable insights that support strategic and operational objectives.
  • Design and develop intuitive dashboards, reports, and visualizations that effectively communicate insights to business and executive audiences.
  • Partner with stakeholders to define meaningful key performance indicators (KPIs), metrics, and success measures.
  • Apply and promote best practices in data visualization, dashboard design, accessibility, and storytelling with data.
  • Perform exploratory and diagnostic analyses that help drive process improvements and organizational performance.
• Data Access & Platform Enablement
  • Improve access to trusted, analytics-ready data by helping users discover, understand, and leverage relevant data sources.
  • Collaborate with data engineering, architecture, and technology teams to enhance the availability, usability, and discoverability of enterprise data assets.
  • Support the adoption and effective use of modern data platforms and analytics technologies, including Snowflake, AWS, and related tools.
  • Organize and maintain analytics resources, datasets, and documentation that support self-service analytics capabilities.
  • Identify opportunities to expand and enhance enterprise analytics capabilities, tools, and data sources.
• Data Governance
  • Support enterprise data governance initiatives by ensuring analytics solutions align with established data standards, definitions, and business rules.
  • Partner with data owners and stewards to promote consistency, transparency, and confidence in reporting and analytics.
  • Incorporate standardized metrics, business definitions, and trusted data sources into dashboards, reports, and analytics products.
  • Participate in governance forums and provide feedback on data…