Data Analyst - Customer Analytics

Granicus is hiring a Data Analyst, Customer Analytics to lead customer analytics workstreams for its Granicus Experience Group. The role designs measurement frameworks and reporting solutions, communicates findings and recommendations to government customers, and sets analytics practices while mentoring junior analysts.

Responsibilities:

• Lead end-to-end ownership of analytics workstreams for assigned GXG customer engagements — from requirements definition through delivery, insight communication, and optimization recommendations — operating independently without routine escalation
• Independently design, build, and maintain measurement frameworks that define KPIs, success metrics, and performance benchmarks for government customer digital communication programs across email, web, surveys, forms, and other channels
• Lead the architecture, development, and ongoing optimization of dashboards and reporting solutions integrating data from multiple sources; own data accuracy, reliability, and governance for all workstream-level reporting outputs
• Define, document, and champion analytics standards, reporting methodologies, and data governance best practices for GXG's Customer Analytics practice; serve as the team's subject-matter expert and internal escalation point for complex analytical challenges
• Make independent analytical and methodological decisions within the GXG customer analytics domain, including selection of approaches, metrics frameworks, visualization strategies, and tool architectures — without requiring managerial approval for routine technical judgments
• Author and maintain owned SOPs, analytics playbooks, reporting specifications, and knowledge-base documentation to ensure consistency, repeatability, and institutional knowledge retention across the GXG team
• Serve as the primary analytics point of contact for assigned customer engagements; lead requirements-gathering sessions, present data-driven findings and strategic recommendations to technical and non-technical audiences, including government stakeholders
• Mentor and coach junior analysts on SQL, data visualization, measurement strategy, and analytics best practices; conduct structured peer reviews and quality assurance of team deliverables
• Own investigation, root-cause analysis, and resolution of data quality and consistency issues across GXG reporting systems; establish preventive controls and documentation standards to reduce recurring errors
• Identify, evaluate, and introduce emerging analytics approaches, AI-enabled tools (Copilot, Cursor, etc.), and productivity technologies into GXG's analytical workflows; lead research and proof-of-concept efforts to advance the practice's analytical capabilities
• Lead analytics-related Agile ceremonies including sprint planning, backlog refinement, retrospectives, and stand-ups; define and track analytics acceptance criteria and delivery milestones
• Proactively identify opportunities where data can improve customer program outcomes and GXG service delivery; present evidence-based recommendations that influence customer measurement strategy

Requirements:

• Advanced SQL proficiency — complex query design, data modeling, performance optimization, and multi-source dataset manipulation
• Expert-level BI & data visualization — deep expertise in QuickSight, Tableau, Power BI, or Looker; dashboard architecture and design for executive and operational audiences
• Measurement framework design — ability to define KPIs, success metrics, and analytics strategies for digital communication programs from first principles
• Data governance & quality ownership — ability to define and enforce data quality standards, validation frameworks, and governance practices at the workstream level
• ETL & data integration — strong understanding of data pipeline concepts, ETL processes, and data validation in multi-source environments
• Digital channel analytics expertise — email, web, survey, social, CRM, and forms analytics; cross-channel measurement and attribution modeling
• AI-assisted analytics — ability to evaluate, adopt, and integrate AI-enabled productivity and analytics tools responsibly and effectively within data governance requirements
• Communication & influence — ability to lead analytical presentations and influence customer measurement strategy through data storytelling for both technical and non-technical audiences
• Mentoring & coaching — demonstrated ability to develop junior analyst skills through structured guidance, peer review, and actionable feedback
• Agile methodology — advanced familiarity with Scrum/Kanban; ability to lead analytics ceremonies and manage workstream-level delivery
• 4–6 years of experience in a data analyst, analytics engineer, digital analyst, or reporting analyst role in a professional services, agency, or technology environment
• Demonstrated ownership of analytics workstreams, measurement frameworks, or reporting infrastructure — with evidence of leading deliverables end-to-end, not merely contributing
• Advanced SQL skills with demonstrated experience in complex query design and multi-source data environments
• Expert-level proficiency in at least one major BI platform (QuickSight, Tableau, Power BI, or Looker), with evidence of dashboard architecture for multiple stakeholder audiences
• Demonstrated experience designing measurement strategies or analytics frameworks from first principles, including KPI definition and performance benchmarking
• Experience communicating analytical findings and recommendations to senior or executive-level stakeholders, including government clients
• Experience working across digital channels (email, web, surveys, CRM, social) with cross-channel measurement design
• Experience mentoring or coaching junior analysts or reporting contributors, with evidence of structured peer review or quality assurance contributions
• Experience with AI-assisted analytics tools and productivity platforms, with demonstrated responsible use within data governance requirements
• Experience working within Agile/Scrum delivery frameworks in an analytics or data context
• Bachelor's degree in Analytics, Data Science, Statistics, Information Systems, Marketing, Business, or a related field, or equivalent practical experience
• Experience in a digital agency, GovTech, or government-customer-facing analytics environment
• Familiarity with government digital communications programs (email, web, civic engagement platforms)