π Core Information
πΉ Job Title: Analyst, Marketing Channel Analytics
πΉ Company: Squarespace
πΉ Location: New York, NY
πΉ Job Type: Hybrid (3 days per week on-site)
πΉ Category: Marketing
πΉ Date Posted: May 12, 2025
πΉ Experience Level: 2-5 years
πΉ Remote Status: On-site (Hybrid)
π Job Overview
Key aspects of this role include:
- Powering brand strategy and customer acquisition through innovative marketing measurement and analysis
- Addressing complex questions to influence critical business outcomes
- Partnering with in-house teams to translate needs into analytical requirements, solutions, and insights
- Driving paid media strategy, planning, and performance through data analysis
ASSUMPTION: This role requires a strong background in marketing analytics and data science, with a focus on driving paid media strategy and performance.
π Key Responsibilities
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Partner with in-house Marketing, Data Science, and Engineering teams to translate needs into analytical requirements, solutions, and insights
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Define metrics and perform analyses to uncover performance trends, drivers, outliers, and opportunities to improve marketing investments and campaigns across paid and unpaid channels
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Refine and apply in-house marketing mix model to inform media investment strategy and planning
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Implement experiments to measure incrementality
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Create dashboards to help partners answer recurring questions and act on metrics using self-service tools
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Present results to partners at different levels
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Promote best practices among peers and partners
ASSUMPTION: This role requires strong analytical skills, with a focus on driving insights and recommendations to improve marketing performance.
π― Required Qualifications
Education: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, or a related discipline)
Experience: 3+ years in a marketing analytics or data science role at an ad agency, ad tech company, or in-house marketing team
Required Skills:
- Experience driving paid media strategy, planning, and performance through first- and third-party data analysis, decision frameworks, and learning agendas
- Experience building dashboards and working with large datasets using SQL
- Knowledge of one or more AdTech or MarTech platforms (Tag Manager, Ad Server, DSP, SEO, CDP, ESP)
- Experience with multi-touch attribution (MTA), marketing mix modeling (MMM), or incrementality experiments to improve and validate investments, and comfortable with presenting while navigating open-ended questions
- Experience translating results into clear stories and recommendations
- Knowledge of statistical concepts, such as experimental design, hypothesis testing, and regression, and tools such as Python
- Knowledge of brand and direct response channels (paid search, paid social, creator, video)
Preferred Skills:
- Experience with A/B testing and statistical analysis
- Familiarity with marketing automation and CRM platforms
ASSUMPTION: Candidates should have a strong background in marketing analytics and data science, with a focus on driving paid media strategy and performance.
π° Compensation & Benefits
Salary Range: $85,500 - $138,000 USD per year
Benefits:
- Medical plans with an option for 100% covered premiums
- Fertility and adoption benefits
- Supplemental insurance plans
- Headspace mindfulness app subscription
- Global Employee Assistance Program
- Retirement benefits with employer match
- Flexible paid time off
- 20 weeks for parental leave and up to 12 weeks to care for an ill family member
- Pretax commuter benefit
- Education reimbursement
- Employee donation match to community organizations
- 8 Global Employee Resource Groups (ERGs)
- Dog-friendly workplace
- Free lunch and snacks
- Private rooftop
- Hack week twice per year
Working Hours: Full-time (40 hours per week)
ASSUMPTION: The salary range provided is based on industry standards for marketing analytics roles with similar experience levels and locations.
π Applicant Insights
π Company Context
Industry: Software Development, specifically focused on online publishing, web design, and CMS
Company Size: 1,001-5,000 employees, which means there are ample opportunities for collaboration and growth
Founded: 2003, with a history of innovation and continuous improvement in the online publishing space
Company Description:
- Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online
- Empowers millions of customers in more than 200 countries and territories with tools to create an online presence, build an audience, monetize, and scale their business
- Offers a suite of products ranging from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling and social media presence management
Company Specialties:
- Online publishing
- Web design
- CMS
- Developer tools
Company Website: https://www.squarespace.com/
ASSUMPTION: Squarespace is a well-established company with a strong focus on design and innovation, providing ample opportunities for growth and development.
π Role Analysis
Career Level: Mid-level, with opportunities for growth and advancement within the Marketing Channel Analytics team
Reporting Structure: Reports to the Manager of the Marketing Channel Analytics & Technology team
Work Arrangement: Hybrid, with 3 days per week on-site at the New York City headquarters
Growth Opportunities:
- Potential to advance within the Marketing Channel Analytics team or explore other opportunities within the Marketing department
- Opportunities to work on high-impact projects and gain exposure to various aspects of the business
- Chance to collaborate with cross-functional teams and develop a broad skill set
ASSUMPTION: This role offers strong growth potential within a dynamic and innovative company.
π Location & Work Environment
Office Type: Hybrid, with 3 days per week on-site at the New York City headquarters
Office Location(s): 8 Clarkson St, New York, NY 10014, US
Geographic Context:
- New York City is a vibrant and diverse metropolis with a thriving tech industry
- Squarespace's headquarters is located in the West Village, offering easy access to public transportation and various amenities
- The office is dog-friendly, promoting a collaborative and inclusive work environment
Work Schedule: Full-time (40 hours per week), with flexible working hours and the opportunity to work remotely 2 days per week
ASSUMPTION: The hybrid work arrangement offers a good balance between on-site collaboration and remote flexibility.
πΌ Interview & Application Insights
Typical Process:
- Phone or video screen with a member of the HR team
- Technical interview with a member of the Marketing Channel Analytics team
- On-site or virtual interview with the hiring manager and additional team members
- Final interview with the Marketing Channel Analytics team lead
Key Assessment Areas:
- Technical skills and experience in marketing analytics and data science
- Problem-solving abilities and data-driven mindset
- Communication and presentation skills, with the ability to translate complex data into clear insights
- Cultural fit and alignment with Squarespace's values
Application Tips:
- Highlight relevant experience and achievements in marketing analytics and data science
- Tailor your resume and cover letter to emphasize your skills and experience related to the job description
- Prepare for behavioral and situational interview questions, focusing on your problem-solving abilities and data-driven approach
ATS Keywords: Marketing Analytics, Data Science, Cross-Channel Marketing, SQL, AdTech, MarTech, Multi-Touch Attribution, Marketing Mix Modeling, Incrementality Experiments, Statistical Concepts, Experimental Design, Hypothesis Testing, Regression, Paid Search, Paid Social, Video
ASSUMPTION: The interview process is designed to assess technical skills, problem-solving abilities, and cultural fit, with a focus on data-driven decision-making.
π οΈ Tools & Technologies
- SQL
- Python
- AdTech/MarTech platforms (e.g., Tag Manager, Ad Server, DSP, SEO, CDP, ESP)
- Multi-touch attribution (MTA) and marketing mix modeling (MMM) tools
- Data visualization and dashboarding tools (e.g., Tableau, Power BI)
ASSUMPTION: This role requires proficiency in SQL and familiarity with various AdTech/MarTech platforms, as well as experience with multi-touch attribution and marketing mix modeling tools.
π Cultural Fit Considerations
Company Values:
- Craftsmanship
- Fearlessness
- Collaboration
- Innovation
- Integrity
Work Style:
- Data-driven and analytical
- Collaborative and team-oriented
- Adaptable and open to feedback
- Proactive and self-motivated
Self-Assessment Questions:
- How do you approach complex data sets, and can you provide an example of a time when you uncovered valuable insights?
- Can you describe a situation where you had to collaborate with a cross-functional team to achieve a common goal, and how did you ensure that everyone's perspectives were considered?
- How do you stay organized and prioritize your work when faced with multiple projects and deadlines?
ASSUMPTION: Squarespace values a data-driven and collaborative work style, with an emphasis on craftsmanship, fearlessness, and innovation.
β οΈ Potential Challenges
- Working with large and complex datasets may require significant time and effort to clean and prepare for analysis
- Stakeholders may have varying levels of data literacy, requiring clear and concise communication of findings and recommendations
- Balancing the need for timely insights with the desire for deep and thorough analysis may present challenges
- Managing multiple projects and priorities may require strong organizational skills and time management
ASSUMPTION: These challenges are common in marketing analytics roles and can be mitigated with strong organizational skills, clear communication, and a focus on prioritization and time management.
π Similar Roles Comparison
- Compared to other marketing analytics roles, this position places a stronger emphasis on driving paid media strategy and performance
- Squarespace's focus on design and innovation sets it apart from other companies in the online publishing space
- This role offers strong growth potential within a dynamic and innovative company, with opportunities to advance within the Marketing Channel Analytics team or explore other opportunities within the Marketing department
ASSUMPTION: This role offers unique opportunities for growth and development within a dynamic and innovative company.
π Sample Projects
- Analyzing customer acquisition costs and return on investment (ROI) for various marketing channels to optimize media spend and improve overall marketing efficiency
- Developing and implementing a multi-touch attribution model to measure the incremental impact of marketing campaigns and channels on customer acquisition and revenue
- Conducting a competitive analysis of marketing strategies and tactics employed by key competitors to identify opportunities for differentiation and growth
ASSUMPTION: These sample projects illustrate the breadth and depth of marketing analytics and data science skills required for this role.
β Key Questions to Ask During Interview
- Can you describe the team structure and dynamics within the Marketing Channel Analytics team, and how does this role fit into the broader marketing organization?
- How does the Marketing Channel Analytics team collaborate with other departments, such as Marketing, Data Science, and Engineering, to drive business outcomes and improve overall marketing performance?
- What are the key priorities for this role in the first 30, 60, and 90 days, and how will my work contribute to the team's overall goals and objectives?
- How does Squarespace support the professional development and growth of its employees, particularly within the Marketing Channel Analytics team?
- What are the most rewarding aspects of working in the Marketing Channel Analytics team, and what challenges might I face in this role?
ASSUMPTION: These questions are designed to provide insight into the team structure, dynamics, and priorities, as well as the opportunities for growth and development within the Marketing Channel Analytics team.
π Next Steps for Applicants
To apply for this position:
- Submit your application through the Squarespace Careers page
- Tailor your resume and cover letter to highlight your relevant experience and skills in marketing analytics and data science
- Prepare for behavioral and situational interview questions, focusing on your problem-solving abilities and data-driven approach
- If selected for an interview, be prepared to discuss your experience with marketing analytics, data science, and driving paid media strategy and performance
- Follow up with the Squarespace HR team one week after submitting your application to inquire about the status of your application
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.