Note: The job is a remote job and is open to candidates in USA. Granicus provides cloud-based technology that helps governments connect with their constituents and improve citizen experiences. The Principal Analytics Engineer will lead analytics engineering and analytics-ready data architecture for government clients, designing reliable data models, integration patterns, governance standards, and quality processes. The role also advises on complex data integrations, supports reporting and measurement, and drives scalable solutions across cross-functional teams.
Responsibilities
- Leads analytics engineering and analytics‑ready data architecture across GXG for Government clients
- Lead the development, implementation, and governance of analytics engineering standards and best strategic practices influencing enterprise delivery
- Design and maintain highly reliable, standardized data models, transformation logic, and validation frameworks for customer analytics delivery
- Own the analytics-engineering layer for our advanced analytics platforms, transforming product-delivered data into analytics-ready delivery
- Act as GXG’s senior advisor for complex customer data integrations and technical decision-making
- Define reusable integration patterns, templates, and documentation to support scalable delivery, reducing ambiguity and startup time
- Define and evolve GXG processes for data quality, QA, backfills, and release coordination
- Monitor and resolve data quality and consistency issues to ensure data structures support dashboards, metrics and client outcomes
- Triage data issues within GXG and coordinate clearly scoped escalations to Product teams when required
- Provide strategic input on analytical methodologies, measurement frameworks, and best practices
- Improve organizational team efficiency by identifying systemic data challenges and driving durable, scalable solutions
- Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program
- Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies
Skills
- Advanced SQL and strong analytics‑ready data modeling skills
- Subject-matter expertise with the ability to define and influence best practices at an organizational level
- Demonstrated ability to define, communicate, and enforce analytics engineering methodologies at an enterprise scale, ensuring alignment with organizational goals and industry benchmarks
- Strong understanding of cloud data ecosystems and upstream data pipelines
- Exceptional data quality discipline, including validation, reconciliation, and auditability
- Systems thinking mindset with comfort operating in ambiguous, high-complexity integration scenarios
- Clear technical communication and cross-functional collaboration skills
- Deep understanding of web analytics and behavioral data, including event-based and engagement datasets from tools such as Google Analytics (GA4), Adobe Analytics, Siteimprove, or similar
- Experience integrating multi-channel digital data sources, including email marketing platforms, social, surveys, and other emerging customer feedback and engagement channels
- Comfortable leading external client-facing workstreams
- Experience and/or enthusiasm for working with government clients with passion for public service, citizen engagement, and communication
- 8+ yearsof experience in analytics engineering, data analytics, or business intelligence, supporting analytics delivery in complex, cross-functional environments; experience with web analytics, digital marketing data, or government technology preferred, working with external clients
- Proven track record of establishing and governing analytics engineering standards with enterprise-level impact, influencing organizational data strategy and outcomes
- Due to security requirements, this position is currently open only to those located in the Continental US
- Candidates must be able to operate in the Central time zone to support client needs
- Proven experience developing dashboards and reporting solutions; Amazon QuickSight and Tableau is a plus
- Strong background in quantitative research and statistical analysis; qualitative research a plus
Benefits
- Flexible Time Off – Take the time you need to rest, recharge, and live your life.
- Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.
- Work From Home Reimbursement – Support a productive home office environment.
- Multiple Health Plan Options – Including a 100% employer-paid plan.
- Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.
- Fitness Reimbursement Program – Stay active, your way.
- On-Demand Mental Health Support – Access to Headspace and other wellness tools.
- Paid Parental Leave – For both birthing and non-birthing parents.
- Traditional & Roth 401(k) – With a generous company match.
- Life & AD&D Insurance – 100% employer-paid coverage for peace of mind.
- Online Learning Platforms – Fuel your professional development.
- Competitive Salary & Bonuses – Your contributions are valued and rewarded.
Company Overview
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