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 [email protected]
Skills Required
- 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 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)
- 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
Redwood Software Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Redwood Software and has not been reviewed or approved by Redwood Software.
-
Fair & Transparent Compensation — Pay is characterized as competitive or above average, with broad satisfaction around compensation and benefits. Earnings potential is portrayed as particularly strong in customer-facing revenue roles, reinforcing a positive total-rewards baseline.
-
Healthcare Strength — Health coverage is described as especially strong in the U.S., including instances of fully employer-paid insurance. Medical value is framed as a standout element of the overall package even when plan choice is narrower.
-
Retirement Support — Retirement benefits are characterized as notably strong, with a frequently highlighted and “fantastic” 401(k) match. This strengthens the perceived long-term value of the package beyond cash compensation.
Redwood Software Insights
What We Do
Redwood Software is the leader in full stack automation for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower organizations to orchestrate, manage and monitor their workflows across any application, service or server – in the cloud or on premise – with confidence and control
