Senior Analyst, Marketing Analytics

About Remote

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. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.

We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.

If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!

What this job can offer you

This is an exciting time to join Remote and make a personal difference in the global employment space as Senior Data Analyst, Marketing as part of our broader Revenue Operations & Acceleration team.

We are looking for a highly motivated and engaged Senior Data Analyst to be a key partner to the Senior Manager of Planning and Analytics and the Marketing organization. You will be responsible for providing analyses and insights in support of our quarterly and annual paid marketing investment and planning processes. You should have the ability to lead cross-functional projects, communicate effectively and efficiently, and be excited to work in a fast-paced, high-growth environment. This role is crucial in shaping our marketing strategy by ensuring data integrity, building predictive models, and translating complex analytics into actionable business recommendations.

What you bring

• Bachelor’s degree in Marketing, Statistics, Business Analytics, Economics, or related field.

• Several years of experience in marketing analytics, preferably in a B2B SaaS or enterprise environment.

• Strong understanding of the B2B marketing funnel and key metrics (MQLs, SQLs, pipeline, CAC, LTV, etc.).

• Proven experience developing or applying projected LTV models to guide marketing investment and retention strategies.

• Solid SQL and Excel skills; familiarity with Python or R for data analysis a plus.

• Experience working with CRM and marketing automation platforms (Salesforce, HubSpot)

• Proven ability to present insights clearly to non-technical stakeholders.

• Writes and speaks fluent English

• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• Funnel Analytics: Track and analyze the B2B marketing funnel (lead generation → MQL → SQL → opportunity → revenue) to identify drop-off points and performance trends at a granular level for paid advertising.

• Attribution Modeling: Develop or refine multi-touch attribution models to evaluate channel impact across the buyer journey.

• Paid Advertising Experience: Good understanding of paid as an acquisition channel and the technical setup behind signal/conversion architecture

• LTV Modeling: Build and maintain projected lifetime value (LTV) models to forecast the long-term revenue potential of different customer segments and acquisition channels and send signals back to ad platforms

• Dashboarding & Reporting: Build and maintain dashboards in tools like Sigma, Clarisights

• Forecasting & Planning: Support paid marketing budget allocation and pipeline forecasting using historical data and predictive modeling.

• Data Quality & Governance: Partner with RevOps to ensure CRM and marketing automation data integrity (e.g., HubSpot, Salesforce, Marketo, Pardot).

• Stakeholder Collaboration: Translate analytics insights into business recommendations for marketing and sales leaders.

Practicals

• You'll report to: Senior Manager, Revenue Operations

• Team: Sales - Revenue Operations

• Team size: No direct reports

• Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify; North America and EMEA

• Start date: As soon as possible

Application process

• Interview with recruiter

• Interview with future manager

• Interview with team members (no managers present)

• Bar Raiser Interview

• Prior employment verification check

#LI-DNP

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-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis.

The annual salary range for this full-time position is
$52,600—$177,550 USD

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but 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 you’ll plan your day (and life)

We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply

• Please fill out the form below and upload your CV with a 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.

• If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter.

We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.

At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here.

Please note we accept applications on an ongoing basis.