Analytics Engineer - Marketing & Customer Experience

Role Description

The Analytics Engineer, Marketing & CX will build the data foundation of Mirion’s Marketing and new Customer Experience organization, transforming raw data from disparate marketing and CX systems into clean, tested, well-documented datasets and models that power self-service analytics and revenue-impacting insights. You will design and maintain the pipelines and data models that integrate marketing platforms into a single source of truth for the customer journey.

Your work will directly enable prioritization, closed-loop actions, campaign and cohort revenue attribution, and executive reporting, giving Mirion a trusted, reusable analytics layer for predictive marketing and customer experience management across its diverse business units and product lines.

This is a highly leveraged role for someone who thrives on modeling complex data environments, applying software-engineering discipline to analytics, and turning messy source data into reliable, self-service data products the whole organization can trust.

Key Responsibilities

• Design, build, and maintain data pipelines and ELT/transformation workflows that ingest and model data from marketing platforms.
• Develop and own the transformation layer — dimensional models, a semantic/metrics layer, and curated data marts.
• Collaborate closely with the CX Operations and Insights Manager and Marketing stakeholders.
• Build and maintain the certified datasets, enterprise dashboards, and cohort reports.
• Model the end-to-end customer journey and enable deep-dive analyses.
• Support closed-loop and marketing-activation processes by providing data-driven targeting.
• Automate reporting and data delivery for CX and Marketing leadership.
• Apply software-engineering best practices to analytics.
• Translate complex data into clear, well-documented, executive-ready datasets and insights.
• Stay current on analytics-engineering and marketing-analytics best practices and tools.

Qualifications

• 5+ years of experience as an analytics engineer, data engineer, or data analyst in a B2B environment.
• Advanced proficiency with data transformation and modeling (dbt or equivalent) and modern data platforms.
• Advanced SQL and experience integrating and modeling data from multiple sources.
• Demonstrated ability to model customer cohorts, segmentation, and marketing/financial attribution.
• Experience with marketing analytics, text analytics, journey analytics, or predictive modeling.
• Excellent storytelling with data.
• Comfort working in ambiguous, evolving data environments.
• Strong collaboration skills and a proven track record partnering with marketing and cross-functional teams.

Travel

• Minimal travel required (~10%), primarily for occasional stakeholder workshops or data alignment sessions.

Requirements

• This role requires access to U.S. export-controlled information.
• Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future.