| Location | Denver, CO |
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.
Ideal Candidate Statement
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.
Essential Duties and Responsibilities
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 quality, reporting, and analytics challenges identified through business engagement.
Advocate for data quality, metric consistency, and responsible use of organizational data to support effective decision-making.
Other Duties/Responsibilities
Job Qualifications
Required Qualifications
Bachelor's degree in Data Analytics, Data Science, Statistics, Business, Information Systems, Computer Science, or a related field and 2+ years of experience in data analytics, business intelligence, reporting, or a related discipline.
2+ years of experience developing dashboards and analytics solutions using BI tools such as Power BI or Tableau.
Experience extracting and transforming data from relational databases and enterprise systems (e.g., SQL Server, Oracle, PostgreSQL).
Experience with cloud data technologies (e.g., Snowflake, AWS, Azure Data Platform).
Demonstrated experience delivering analytics solutions that support business decisions, operational improvements, or measurable organizational outcomes.
Understanding of data quality, privacy, compliance, and information management principles.
Strong communication, facilitation, customer service, and stakeholder engagement skills.
Preferred Qualifications
Data analytics certifications (e.g. Power BI Data Analyst Associate, Tableau Certified Data Analyst, Google Data Analytics Professional Certificate, etc.)
Experience with advanced analytics, statistical analysis, Python, R, or machine learning concepts.
Experience in financial services, pension systems, or public sector organizations.
Working Conditions
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
Standard office environment with frequent telephone communication, computer operation, and other office productivity machinery, such as a copy and printer machine.
Occasional moving and positioning supplies in excess of 20 pounds
All employees are expected to present themselves in a professional manner in alignment with the financial services industry
Ability to sit for prolonged periods of time
Ability to operate standard PC equipment
Ability to manage frequent deadlines and tight schedules
Hybrid Work Option