Marketing Analytics Consultant (HubSpot to Marketo)

📌 Core Information

🔹 Job Title: Marketing Analytics Consultant (HubSpot to Marketo)

🔹 Company: Cohere

🔹 Location: Boston, Massachusetts, United States (Remote OK)

🔹 Job Type: Full-Time

🔹 Category: Marketing

🔹 Date Posted: April 9, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Remote OK

🚀 Job Overview

Key aspects of this role include:

• Integrating and managing marketing data across platforms to enhance decision-making
• Collaborating with cross-functional teams to develop data-driven marketing strategies
• Improving campaign performance through advanced analytics and insights
• Migrating from HubSpot to Marketo and setting up relevant fields for measurement

ASSUMPTION: This role requires a strong background in marketing analytics and experience with the specified tools. The ideal candidate will have a proven track record of driving marketing strategy through data-driven insights.

📋 Key Responsibilities

✅ Integrate and manage marketing data across platforms such as Segment, Marketo, and Salesforce, ensuring seamless data flow and accuracy for enhanced decision-making.

✅ Leverage BigQuery and Looker (or equivalent BI tools) to perform advanced analytics, create dashboards, and generate actionable insights that drive marketing strategy and improve campaign performance.

✅ Use SQL skills and knowledge of Python and R to analyze data and derive insights.

✅ Utilize GA4 to track and analyze web traffic and user behavior, measuring the effectiveness of marketing initiatives and optimizing customer journeys leveraging all GTM and product systems.

✅ Collaborate with cross-functional teams across Sales, Finance, Product, and Marketing to develop data-driven marketing strategies and campaigns, utilizing insights from various data sources to enhance lead generation and conversion rates.

✅ Continually refine data processes and analytics methodologies, staying updated with industry trends, and implement best practices to boost marketing ROI and overall business growth.

ASSUMPTION: The candidate should be comfortable working with various marketing data platforms and tools, and have a strong analytical mindset to derive insights from data.

🎯 Required Qualifications

Education: Bachelor's degree in Marketing, Statistics, Mathematics, or a related field (or equivalent experience)

Experience: 5+ years of marketing analytics experience

Required Skills:

• Proficient in SQL, Marketo, Google Analytics (GA4), Salesforce, and BigQuery
• Experience migrating from HubSpot to Marketo and setting up relevant fields for measurement
• Strong analytical skills and ability to derive insights from data
• Experience working across Sales and Finance teams

Preferred Skills:

• Python and R skills
• Experience with campaign performance, e2e lead to cash, web traffic analytics, and attribution modeling

ASSUMPTION: While the job listing mentions specific tools and experience, the core requirements revolve around strong analytical skills, data-driven decision-making, and experience in marketing analytics.

💰 Compensation & Benefits

Salary Range: $120,000 - $160,000 per year (Based on industry standards for a Marketing Analytics Consultant with 5-10 years of experience in the Boston area)

Benefits:

• Open and inclusive culture and work environment
• Weekly lunch stipend, in-office lunches, and snacks
• Full health and dental benefits, including a separate budget to take care of mental health
• 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
• Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
• Remote-flexible work arrangement with offices in Toronto, New York, San Francisco, and London and a co-working stipend
• 6 weeks of vacation

Working Hours: Full-time (40 hours per week) with flexible hours and a remote-friendly work environment

ASSUMPTION: The salary range is estimated based on industry standards for a Marketing Analytics Consultant with the required experience level in the Boston area. The benefits listed are based on the information provided in the job description.

📌 Applicant Insights

🔍 Company Context

Industry: Software Development, specifically focused on building secure, scalable, and private enterprise-grade AI solutions for real-world business problems.

Company Size: 201-500 employees (According to LinkedIn)

Founded: 2019

Company Description:

• Cohere is the leading security-first enterprise AI company.
• They build cutting-edge foundation models and end-to-end AI products designed to solve real-world business problems.
• Their all-in-one platform offers enterprises the highest levels of data security, privacy, and optionality to deploy across all major cloud providers, private cloud environments, or on-premises.

Company Specialties:

• Natural Language Processing
• Machine Learning
• Artificial Intelligence

Company Website: http://cohere.com

ASSUMPTION: Cohere is a well-established company in the AI industry, focusing on providing secure and scalable AI solutions for enterprises. They value an open and inclusive work environment and offer competitive benefits.

📊 Role Analysis

Career Level: Mid-level to Senior, depending on experience

Reporting Structure: This role will likely report to the Marketing Director or a similar position, working closely with cross-functional teams across Sales, Finance, Product, and Marketing.

Work Arrangement: Remote OK, with offices in Toronto, New York, San Francisco, and London. The role offers a remote-friendly work environment with flexible hours.

Growth Opportunities:

• Potential career growth within the Marketing department or other teams within the company, such as Product or Engineering.
• Opportunities to work on cutting-edge AI projects and gain experience in a rapidly growing industry.
• Chance to collaborate with and learn from a diverse team of experts in their respective fields.

ASSUMPTION: This role offers opportunities for career growth and learning within a dynamic and innovative company. The ideal candidate will be eager to take on new challenges and contribute to the company's mission.

🌍 Location & Work Environment

Office Type: Remote-friendly with offices in multiple locations

Office Location(s): Toronto, New York, San Francisco, and London

Geographic Context:

• The role is remote-friendly, allowing for flexibility in location within the United States and Canada.
• The company has offices in major cities, providing opportunities for in-person collaboration and networking.
• The role may require occasional travel to these offices or other locations for meetings or events.

Work Schedule: Full-time (40 hours per week) with flexible hours and a remote-friendly work environment

ASSUMPTION: The remote-friendly work environment offers flexibility and the opportunity to work from various locations within the United States and Canada. The role may require occasional travel to company offices or other locations.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the Hiring Manager
• Technical assessment or case study
• Final round interviews with key stakeholders

Key Assessment Areas:

• Data analysis and interpretation skills
• Experience with relevant marketing data platforms and tools
• Problem-solving and critical thinking abilities
• Communication and collaboration skills

Application Tips:

• Highlight relevant experience with marketing data platforms and tools, such as Marketo, Salesforce, and GA4.
• Demonstrate strong analytical skills and provide examples of data-driven insights you've generated in previous roles.
• Tailor your resume and cover letter to emphasize your experience and skills related to the key responsibilities listed in the job description.

ATS Keywords: Marketing Analytics, SQL, Marketo, Google Analytics, Salesforce, BigQuery, Looker, GA4, Campaign Performance, Web Traffic Analytics, Attribution Modeling, Data Integration, Cross-functional Collaboration, Data-driven Strategies, Customer Journey Optimization

ASSUMPTION: The application process will likely involve multiple rounds of interviews, including a technical assessment or case study. The company is looking for candidates with strong analytical skills and experience with relevant marketing data platforms and tools.

🛠️ Tools & Technologies

• Marketo
• Salesforce
• Google Analytics (GA4)
• BigQuery
• Looker
• SQL
• Python (preferred)
• R (preferred)

ASSUMPTION: The candidate should have experience with the listed tools and technologies, with a strong preference for proficiency in Python and R for advanced data analysis.

👔 Cultural Fit Considerations

Company Values:

• Open and inclusive culture
• Data-driven decision-making
• Continuous learning and improvement

Work Style:

• Collaborative and cross-functional
• Remote-friendly and flexible
• Focused on driving marketing strategy through data-driven insights

Self-Assessment Questions:

• Do you thrive in a collaborative, cross-functional work environment?
• Are you comfortable working remotely and managing your time effectively?
• Are you passionate about using data to drive marketing strategy and improve campaign performance?

ASSUMPTION: The ideal candidate will be comfortable working in a remote-friendly, collaborative environment and be passionate about using data to drive marketing strategy and improve campaign performance.

⚠️ Potential Challenges

• The role may require occasional travel to company offices or other locations for meetings or events.
• The candidate may face challenges integrating data from various platforms and ensuring data accuracy and consistency.
• The role may require working with large datasets and performing complex analyses, which can be time-consuming and challenging.
• The candidate may need to adapt to a remote-friendly work environment and manage their time effectively.

ASSUMPTION: The candidate should be comfortable working in a remote-friendly environment and be prepared to face challenges related to data integration, analysis, and time management.

📈 Similar Roles Comparison

• This role is unique in its focus on migrating from HubSpot to Marketo and setting up relevant fields for measurement.
• While there are other marketing analytics roles in the industry, this role requires specific experience with the mentioned tools and platforms.
• Career progression in this role may lead to opportunities in marketing management, product management, or other related fields within the company.

ASSUMPTION: This role is unique in its focus on migrating from HubSpot to Marketo and offers opportunities for career growth within the company.

📝 Sample Projects

• Migrating data from HubSpot to Marketo and setting up relevant fields for measurement
• Analyzing campaign performance data to optimize marketing strategies and improve ROI
• Developing dashboards and reports to track key marketing metrics and KPIs

ASSUMPTION: These sample projects are based on the key responsibilities listed in the job description and provide an idea of the types of tasks the candidate may be expected to perform in this role.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and how this role fits into the overall marketing strategy?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does the company support the professional development and growth of its employees?
• What are the biggest challenges facing the marketing department, and how can this role help address them?
• How does the company approach data privacy and security, particularly in the context of marketing data?

ASSUMPTION: These questions are designed to help the candidate better understand the role, the team, and the company's approach to marketing and data privacy.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to emphasize your experience and skills related to the key responsibilities listed in the job description.
• Prepare for a technical assessment or case study by brushing up on your SQL skills and familiarizing yourself with the mentioned marketing data platforms and tools.
• Prepare for interviews by researching the company and its products, and thinking about how your experience and skills align with the role and the company's mission.
• Follow up with the Hiring Manager one week after submitting your application to express your interest in the role and inquire about the status of your application.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.