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Data Analyst, Marketing Analytics

Who we are: 

Want to make an impact? Join our pack and come work (and play!) with us.


We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them.


Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We’ve got a reputation for being a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies. 


At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees.


Who we're looking for:

The Marketing Analytics team supports the company’s marketing efforts, while also working with teams throughout the organization. The analytics team is responsible for a number of business-critical reports and data models that our global marketing teams rely on for daily reporting, budgeting, and analysis. We measure marketing attribution to understand how people become Rover customers, provide campaign reporting to monitor trends in cost efficiency and optimization, deliver lifecycle data to action against a variety of customer behaviors, and narrate the business to identify and prioritize new opportunities.


We are looking for an Analyst to support our Growth, International Expansion, Lifecycle, and SEO stakeholders with a focus on improving our reporting and dashboard structure. The ideal candidate will have experience working closely with business stakeholders and building data-driven narratives that enable clear decision making.


Your Responsibilities:
  • Work closely with analytics peers and marketing teams to narrate trends and insights, with a particular focus on our customer acquisition marketing programs.
  • Design reports and dashboards that enable clear, data-driven decision-making for marketing and cross-functional teams.
  • Refine our marketing attribution models to drive optimal resource allocation across paid and organic marketing channels.
  • Expand your expertise by supporting experiments such as A/B testing and Market Match tests to optimize strategies across multiple marketing functions.


Your Qualifications:
  • At least 2 years experience working with complex datasets to support business decision making.
  • Fluency in SQL.
  • Data visualisation tool experience (e.g. Mode, Looker, Tableau, etc.)
  • Ability to adapt your communication style to translate complex data insights for different audiences. 
  • You have experience in owning small-to-medium projects from design to completion with limited guidance from your manager.
  • You understand when you are blocked, proactively seeking out for help within the team or the organization to move the project forward.


Nice to Have:
  • Python or R familiarity is helpful, but we welcome candidates eager to develop these skills.
  • Experience evaluating results of A/B tests as well as expertise in statistical analysis.
  • Understanding of marketing metrics such as clicks, CPC, CTR, impressions, and unit economics like customer LTV, payback period, and CAC.


Benefits of working at Rover:
  • Competitive compensation
  • Long-term incentive plan with a company performance-based cash payout
  • Permanent contract
  • Pension Plan
  • Meal tickets through Cobee
  • Generous PTO Allowance
  • Hybrid schedule
  • Private health insurance
  • Discounted Gym Membership
  • Bring your dog to work (and unlimited puppy time)
  • Monetary help for adopting a dog plus yearly credit to use on our platform 
  • Flexible work hours, sometimes you’ll need to be in at certain times, but on the whole, we’re pretty flexible when it comes to managing workload and time
  • Grab snacks, fresh fruit, in our kitchen to keep yourself going 
  • Regular team activities, including happy hours, game nights, and more


Rover is an equal-opportunity employer committed to promoting a diverse, inclusive, and inventive environment with the best employees. We’re driven by seeing our people succeed and grow, and we work to ensure everyone contributes to their fullest potential. We consider all qualified applicants without regard to age, race, color, ancestry, national origin, religion, disability, protected veteran status, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable laws, regulations, and ordinances.

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CEO of Rover.com
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Aaron Easterly
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Average salary estimate

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What You Should Know About Data Analyst, Marketing Analytics, Rover.com

If you're ready to dive into an exciting role as a Data Analyst focused on Marketing Analytics at Rover in Barcelona, we have a position that can unlock your potential! At Rover, we're dedicated to connecting pet parents with caring pet sitters and dog walkers. Your impact on our analytics team will involve supporting our marketing efforts while collaborating with various departments to transform complex data into actionable insights. As a Data Analyst here, you'll help design reports and dashboards to facilitate data-driven decision-making, refine marketing attribution models, and contribute to A/B testing and various marketing strategies. With a minimum of 2 years of experience working with complex datasets and fluency in SQL, you'll communicate insights effectively to diverse audiences. Your ability to own projects from design through completion with minimal guidance will be invaluable. And while familiarity with tools like Python or R is a nice bonus, we value enthusiasm for learning just as much. At Rover, you’re not just a number; you’re a part of a vibrant community that appreciates the work you do. Oh, and did we mention the perks? From competitive compensation and a generous PTO policy to the joy of bringing your furry friend to work, Rover is dedicated to fostering a positive and inclusive work culture. Come be a part of a team that makes a difference in the pet care industry while thriving in an environment that supports your growth and creativity!

Frequently Asked Questions (FAQs) for Data Analyst, Marketing Analytics Role at Rover.com
What are the primary responsibilities of a Data Analyst in Marketing Analytics at Rover?

As a Data Analyst in Marketing Analytics at Rover, your main responsibilities would include collaborating closely with marketing teams to narrate trends and insights, designing interactive reports and dashboards to aid decision-making, and refining marketing attribution models to optimize resource allocation. You'll also have the opportunity to support experiments like A/B testing to enhance various marketing strategies.

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What qualifications do I need to apply for the Data Analyst position at Rover?

To apply for the Data Analyst position in Marketing Analytics at Rover, you should have at least 2 years of experience working with complex datasets, fluency in SQL, and proficiency with data visualization tools like Looker or Tableau. A solid understanding of marketing metrics and the ability to present data insights clearly to different audiences are vital for this role.

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How does Rover support career growth for Data Analysts in Marketing Analytics?

At Rover, career growth for Data Analysts is supported through practical project work, collaboration with cross-functional teams, and opportunities to learn emerging skills. The company fosters a culture of growth where you can take ownership of projects and seek mentorship, helping you elevate your career while making meaningful contributions to the business.

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What tools and technologies should a Data Analyst at Rover be familiar with?

A Data Analyst in Marketing Analytics at Rover should be familiar with SQL for data querying, and have experience with data visualization tools such as Mode, Looker, or Tableau. Familiarity with programming languages like Python or R is a plus, while knowledge of marketing metrics such as CPC, CTR, and customer LTV will greatly enhance your effectiveness in the role.

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What is the work culture like for a Data Analyst at Rover in Barcelona?

The work culture at Rover for a Data Analyst in Barcelona is vibrant and inclusive. The company promotes a healthy work-life balance with flexible hours, hybrid work schedules, and regular team activities. You'll be joining a community that values creativity and collaboration, alongside the excitement of not just working, but also playing with pets, bringing your furry friends to work, and enjoying a supportive atmosphere.

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Common Interview Questions for Data Analyst, Marketing Analytics
Can you describe your experience with SQL and how it applies to data analysis in marketing?

When answering this question, focus on specific projects where you used SQL to analyze marketing data. Explain how you wrote complex queries to extract insights that informed decision-making and strategy. Highlight any examples where your SQL skills led to measurable improvements in marketing performance.

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How do you ensure the accuracy of your data analysis?

To respond effectively, you might discuss the importance of validating data sources, double-checking calculations, and cross-referencing data with different reports. Illustrate with examples of quality assurance processes you implemented in previous roles, ensuring that stakeholders could trust the insights you provided.

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What experience do you have with data visualization tools like Tableau or Looker?

Share specific instances where you utilized these tools to create dashboards or reports. Talk about the types of data you visualized and how these visualizations helped stakeholders make data-driven decisions, emphasizing your understanding of which visual formats best communicate different datasets.

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Describe a time when you had to communicate complex data insights to a non-technical audience.

Provide a clear example that showcases your ability to simplify complex data. Focus on how you tailored your explanations to suit the audience's understanding, using relatable terms and visual aids, and the positive feedback or outcomes that resulted from your communication.

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How do you approach developing marketing attribution models?

Discuss your methodology for creating marketing attribution models, including the data sources you consider and the types of metrics you analyze. You can mention your experience with various attribution models (e.g., first-click, last-click, multi-touch) and how you interpret results to optimize marketing spend and resource allocation.

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What methods do you use to measure the success of A/B tests?

In your answer, talk about the key metrics you track during A/B testing such as conversion rates, engagement levels, or ROI. Emphasize the importance of statistical significance in your analysis and your approach to presenting findings to stakeholders to inform ongoing marketing strategies.

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Can you give an example of a data-driven decision you influenced in a previous role?

Share a specific example where your analysis led to actionable insights that impacted business outcomes. Detail the project, the data you analyzed, the recommendation you made, and the resulting change or improvement in performance, demonstrating your value in a data-driven marketing team.

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How do you stay updated on the latest trends and tools in data analytics and marketing?

Mention your commitment to professional development through online courses, industry webinars, and networking with other professionals. Highlight specific platforms, blogs, or communities you follow to stay informed about new tools, technologies, and best practices in data analytics and marketing.

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What are some key marketing metrics you believe every Data Analyst should understand?

Discuss critical marketing metrics like customer acquisition cost (CAC), lifetime value (LTV), click-through rate (CTR), and conversion rates. Explain why they matter in assessing marketing effectiveness and how you would leverage these metrics in your analysis to support strategic decisions.

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Why do you want to work for Rover as a Data Analyst?

Express your enthusiasm for the role and the company’s mission. Share specific reasons such as Rover’s focus on community, the unique blend of technology and pet care, and how the company's values resonate with your personal ambitions. Link your skills and experience to what you can bring to Rover, creating a compelling case for your fit with the team.

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We believe in the unconditional love of dogs, and Rover exists to make it possible for everyone to experience this love in their lives. As we strive to achieve this mission, our core values guide us in how we conduct our business and ourselves. To...

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DATE POSTED
April 9, 2025

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