Analytics Engineer

job summary: Required Qualifications A bachelor's degree from an accredited college or university in Computer Science, Information Systems, or other related field is required. Alternatively, equivalent work experience can be substituted for the educational requirement on a year-for-year basis, when applicable. The Department requires the following experience, skills, and knowledge for this position: A minimum of five (5) years of experience in business intelligence or analytics, including three (3) years building Power BI solutions at an enterprise scale; Expert DAX and strong Power Query and M skills syntax, backed by deep tabular modeling experience and Structured Query Language (SQL) proficiency across complex datasets; Proven experience implementing RLS, OLS, workspace governance, and secure sharing protocols in highly regulated environments (CJIS and HIPAA); Experience with Deployment Pipelines, Azure DevOps, and environment promotion within GCC tenants, alongside a solid familiarity with Premium capacities and licensing considerations; and Exceptional collaboration skills to engage data engineers, stewards, PMO, InfoSec, and business stakeholders effectively across OIT and program teams. NOTE: In addition to the above list, the selected Candidate must successfully complete a Level II Background Check. Preferred Qualifications The Department prefers the Candidate to have the following experience, skills, and/or knowledge for this position: Expertise in BI technologies (e.g., Microsoft Certified: Power BI Data Analyst Associate [PL-300]), Fabric Analytics Engineer Associate [DP-600], Azure Data Engineer [DP-203], and Azure Fundamentals [AZ-900]; Hands-on experience with Azure Synapse Analytics workloads, including Power BI integrations, Data Warehousing, Lakehouse architectures, and Synapse integration pathways; Practical familiarity with Microsoft Purview for automated enterprise cataloging, classification, and lineage tracking; and Exposure to performance engineering at scale, including composite models, aggregations, Incremental Refresh (IR) policies, and formal data governance processes.

Scope of Work/Job Characteristics The Power BI Developer will design, build, secure, and operationalize analytic solutions on Microsoft Power BI and Azure Synapse Analytics to deliver trusted, timely insights from the Department Enterprise Data Warehouse and related Department systems. The role spans semantic model design, report development, governance, performance optimization, and deployment lifecycle management, with strict adherence to Criminal Justice Information Services (CJIS), Health Insurance Portability and Accountability Act (HIPAA), and agency data-governance policies.

The duties and responsibilities of this position are as follows:

Report, Dashboard, and Semantic Model Development

• Design star schema tabular models that consume Silver and Gold datasets, defining clear facts, dimensions, hierarchies, and relationships that reflect business rules and formal audit needs;
• Develop performant Data Analysis Expressions (DAX) measures, calculation logic, key performance indicators (KPIs), and reusable measure templates to ensure consistent reporting standards across the enterprise;
• Build user-centric, accessible Power BI reports and dashboards, incorporating advanced features like drill-through, bookmarks, tooltips, and parameterized views tailored for both operational and leadership audiences;
• Implement robust Power Query/M transformations during model preparation while strictly respecting upstream cleansing and data lineage standards defined by the Data Warehouse team;
• Support paginated reporting pipelines when required to fulfill regulatory mandates or operational print workflows.

Governance, Security, and Compliance

• Implement Row Level Security (RLS) and Object Level Security (OLS) aligned to CJIS and HIPAA requirements, agency retention rules, and OIT governance decisions, while thoroughly documenting access matrices and test coverage;
• Administer workspace roles and dataset permissions, ensuring full alignment with the M365 Government Community Cloud (GCC) licensing posture for Power BI Pro and Premium;
• Partner with security and data governance teams to register datasets, lineage, and classifications, leveraging Microsoft Purview where applicable for cataloging, policy awareness, and consumer trust;
• Embed strict internal controls for audit logging, data refresh auditing, and change tracking per OIT and program compliance standards.

Performance Engineering and Reliability

• Optimize dataset size, entity relationships, and measure logic by utilizing composite models, aggregations, and Incremental Refresh where appropriate to strictly meet agreed-upon service levels;
• Target, monitor, and continuously improve report render times and dataset refresh performance to adhere to defined service level agreements (SLAs);
• Collaborate with the Data Warehouse team on distributed processing choices that directly impact DirectQuery, Direct Lake, and Import modes to ensure optimal capacity utilization and cost-efficient infrastructure management.

Deployment Lifecycle and DevOps

• Use Power BI Deployment Pipelines and Azure DevOps for versioning, environment promotion Development and Production (DEV/PROD), approvals, and rollback strategies;
• Automate refresh schedules, key vault secrets, service principals, and Continuous Integration and Continuous Delivery (CI/CD) checks consistent with OIT change and incident management processes.

Collaboration and Stakeholder Engagement

• Work closely with Data Owners, stewards, analysts, Project Management Office (PMO), and Information Security (InfoSec) to translate business use cases into governed analytics, participating actively in Data Owners and Governance meetings as scheduled;
• Provide coaching and knowledge transfer to Super Users and report developers within the Bureau of Research and Data and other stakeholder groups.

Documentation and Best Practices

• Maintain model documentation, DAX catalogs, data dictionaries, lineage notes, RLS and OLS matrices, refresh schedules, and standard operating procedures (SOPs);
• Publish workspace governance guides, report accessibility standards, and User Acceptance Testing (UAT) scripts consistent with OIT documentation frameworks;
• Contribute to the enterprise data catalog in Microsoft Purview and to SharePoint knowledge bases with versioned artifacts linked directly to Correctional Information Management System (CIMS) datasets and interfaces.

For applications and inquiries, contact:View email address on us.fitly.work