Principal, Marketing Analytics

Principal, Marketing Analytics

Full-Time 50000 - 70000 £ / year (est.) Working from home possible
R

At a Glance

  • Tasks: Lead marketing analytics to shape global strategies and drive impactful decisions.
  • Company: Join a remote-first company revolutionising global employment with innovative solutions.
  • Benefits: Enjoy flexible hours, work from anywhere, and generous parental leave.
  • Other info: Be part of a diverse team that values creativity and innovation.
  • Why this job: Make a real difference in the future of work while working with cutting-edge technology.
  • Qualifications: Expertise in marketing analytics and data science, especially in high-growth environments.

The predicted salary is between 50000 - 70000 £ per year.

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future-focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world.

This is a transformative time to join Remote and make a personal difference in the global employment space as Principal Analyst, Marketing Analytics. As the highest-level individual contributor within our Revenue Operations team, you won't just support our strategy—you will shape it. We are looking for a visionary, highly autonomous expert to serve as the primary strategic partner to the Director of Planning and Analytics, the VP of Growth Marketing, and the broader executive leadership team.

What you bring

  • Professional Experience: Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments.
  • Architect-Level Attribution: Mastery in designing, scaling, and defending complex attribution frameworks (Multi-Touch, Media Mix Modeling, and Unified Measurement) across complex, non-linear enterprise buyer journeys.
  • Macro-Funnel Vision: Deep expertise in quantifying abstract, non-paid focus areas; a proven history of designing measurement frameworks for global brand health, organic ecosystems, Share of Voice (SoV), and long-tail market expansion.
  • Advanced Technical Mastery: Expert-level proficiency across the modern data stack. You are comfortable writing production-grade code, architecting data models in dbt, optimizing complex Snowflake environments, and leveraging AI/automation to scale analytical workflows.
  • Ecosystem Governance: Deep familiarity navigating and integrating enterprise CRMs and automation systems (Salesforce, HubSpot) with advanced BI ecosystems (Sigma, Tableau, Looker).
  • Executive Gravitas & Communication: Exceptional ability to command a room of C-suite executives, transforming dense, highly technical data structures into high-impact strategic narratives that drive organizational change.
  • Language: Professional fluency in written and spoken English.
  • Remote-First Mindset: While experience working remotely isn't required, a strong knack for asynchronous communication, high autonomy, and self-driven documentation is highly valued.

Key Responsibilities

  • Strategic Vision & Predictive Modeling: Own and evolve the architectural vision for Remote’s attribution logic. Merge multi-touch attribution (MTA) with Media Mix Modeling (MMM) to build a unified view of both performance marketing and organic Top-of-the-Funnel (TOFU) streams.
  • Predictive LTV & Budget Optimization: Architect and maintain advanced Customer Lifetime Value (LTV) and predictive churn models. Direct how these high-quality predictive signals are fed back into ad platforms and algorithmic bidding engines to maximize efficiency.
  • Executive Planning & Capital Allocation: Partner directly with finance and marketing leadership to drive annual and quarterly planning. Own the macroeconomic forecasting models that dictate global budget allocation and ROI expectations.
  • Global Frameworks & Data Governance: Establish the global standard for measuring non-paid marketing initiatives. Build robust, defensible frameworks for Share of Voice, brand sentiment, and organic compounding to justify long-term brand investments.
  • Macro-Funnel Optimization: Analyze the end-to-end B2B funnel—from dark social and initial awareness to closed-won enterprise revenue—identifying systemic friction points and multi-million dollar white-space opportunities.
  • Data Strategy & Guardianship: Act as the ultimate authority on marketing data integrity. Partner with Data Engineering and RevOps to design the upstream data infrastructure, ensuring information flowing through HubSpot, Salesforce, and Snowflake remains an unassailable "single source of truth."
  • Leadership & Innovation: While this role has no initial direct reports, you will serve as the technical and strategic lead for the analytics org. You will mentor senior analysts, elevate the team's technical bar, and foster a culture of analytical excellence.
  • AI & Automation Pioneering: Standardize the deployment of AI, machine learning, and advanced automation within the marketing analytics stack to accelerate insight generation and eliminate manual reporting overhead.

Practicals

  • You'll report to: Senior manager, Revenue Operations
  • Team: Revenue Operations, Revenue Planning and Analytics
  • Team size: Individual Contributor role with massive cross-functional influence (No direct reports)
  • Location: For this position, we welcome everyone to apply, but we will prioritize applications from locations that align with our current regional team diversification strategies.
  • Start date: As soon as possible

Application process

Roughly 3.5 hours across 3 weeks:

  • Interview with recruiter
  • Interview with future manager
  • Interview with 2 marketing analytics team members
  • Interview with VP, Growth Marketing
  • Bar Raiser interview
  • Prior employment verification check

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labour practices and therefore we ensure to pay above in-location rates.

The annual salary range for this full-time position is $65,750 - $184,950 USD.

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. Some benefits/perks are for all Remoters:

  • Work from anywhere
  • Flexible paid time off
  • Flexible working hours (we are async)
  • 16 weeks paid parental leave
  • Mental health support services
  • Stock options
  • Learning budget
  • Home office budget & IT equipment
  • Budget for local in-person social events or co-working spaces

How to apply

Please fill out the form below and upload your CV in PDF format. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.

We encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritise a sense of belonging.

As an equal employment opportunity employer, it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences.

Principal, Marketing Analytics employer: Remote.com

Remote is an exceptional employer that champions a flexible, remote-first work culture, allowing employees to balance their professional and personal lives seamlessly. With a strong commitment to employee growth, competitive compensation, and a diverse, inclusive environment, Remote empowers its team members to innovate and excel in their roles while contributing to a transformative global employment landscape. Join us to be part of a forward-thinking organisation that values your unique talents and perspectives.

R

Contact Details:

Remote.com Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal, Marketing Analytics

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Remote.com!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal, Marketing Analytics at Remote.com.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Remote.com.

Apply Directly through Our Website

When you find a suitable opening like Principal, Marketing Analytics at Remote.com, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Principal, Marketing Analytics

Marketing Analytics
Business Intelligence
Data Science
Attribution Frameworks
Multi-Touch Attribution
Media Mix Modeling
Predictive Modelling

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Remote.com, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Remote.com. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Remote.com

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Remote.com!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.