Marketing Analytics Engineer

OUR MISSION

At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.

ABOUT US

Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. 

CORE VALUES

One Team. One Redwood

Make Your Own Weather

Obsess over Customer Success

Work the Problem

Be Curious

Own the Outcome

Respect Each Other

YOUR IMPACT

We’re looking for a Marketing Analytics Engineer who will build, manage, and optimize the data and reporting infrastructure that powers marketing analytics. This role is responsible for developing scalable dashboards, ensuring data quality, and enabling self-service analytics across the organization.

You’ll work closely with marketing, RevOps, and analytics stakeholders to deliver reliable, automated, and high-quality reporting solutions. You will also play a key role in advancing our analytics capabilities through automation, data modeling, and AI-driven insights.

Dashboarding & Reporting Development

Design, build, and maintain dashboards that track campaign performance, pipeline health, and funnel conversion

Ensure dashboards are intuitive, performant, and aligned with stakeholder requirements

Continuously optimize reporting for usability, scalability, and performance

Translate defined business and analytics requirements into effective data visualizations and reporting structures

Data Modeling & Transformation

Develop and maintain data models that support marketing analytics and reporting

Transform and prepare data from multiple sources (CRM, marketing automation, product data) for analysis

Ensure consistent definitions and logic across reporting layers

Work with large datasets to enable accurate and scalable reporting

Data Quality & Integrity

Own data validation processes to ensure accuracy, completeness, and consistency of marketing data

Identify and resolve data discrepancies and inconsistencies across systems

Partner with RevOps and data engineering teams to maintain reliable marketing data pipelines

Automation & Self-Service Analytics

Automate recurring reporting and data workflows to reduce manual effort

Enable self-service analytics by building scalable datasets and user-friendly reporting layers

Develop alerting and monitoring systems to surface performance changes and anomalies

Support stakeholders in accessing and querying data independently

AI & Advanced Analytics Enablement

Implement AI-driven solutions for anomaly detection, trend identification, and insight generation

Support predictive analytics and advanced reporting capabilities where appropriate

Evaluate and integrate tools that improve analytics efficiency and scalability

Attribution & Advanced Modeling (Preferred)

Develop and maintain attribution models across the marketing funnel

Support customer journey analysis and channel impact measurement

Continuously refine models based on business needs and data availability

YOUR EXPERIENCE

4–7 years of experience in business intelligence, analytics engineering, or a related field

Expert SQL proficiency and experience working with large datasets

Experience building complex dashboards using tools such as Tableau, Power BI, Looker, or Qlik

Experience working with marketing and CRM data (e.g., Salesforce, Marketo, Google Analytics)

Strong understanding of data modeling and data transformation techniques

Experience building scalable and automated reporting solutions

Strong attention to detail and problem-solving skills

Familiarity with modern data stack tools (e.g., dbt, Snowflake, BigQuery, etc.)

Preferred

Experience with Python or similar languages for data processing or automation

Experience with AI/ML tools or workflows in analytics

Experience with attribution modeling and customer journey analytics

If you like growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

 

THE LEGAL BIT Redwood is an equal opportunity employer. Redwood prohibits unlawful discrimination based on race, colour, religion, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy or any other consideration made unlawful by regional or local laws. We also prohibit discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful and will have a zero tolerance policy applied to it.  

Redwood will comply with all local data protection laws, including GDPR when it comes to the handling and processing of personal data. Should you wish for us to remove your personal data from our recruitment database, please email us directly at Recruitment@Redwood.com