San Francisco
51-200 employees
Hire international talent in minutes. Remote is the most disruptive global payroll, tax, HR and compliance solution for distributed teams.

Senior Data Analyst, Product Analytics

Senior Data Analyst, Product Analytics

This job is no longer open

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Please take a look at to learn more about our culture and what it is like to work here. Not only do we encourage folks from all ethnic groups, genders, sexuality, age and abilities to apply, but we prioritize a sense of belonging. You can check out independent reviews by other candidates on Glassdoor or look up the results of our candidate surveys to see how others feel about working and interviewing here.

All of our positions are fully remote. You do not have to relocate to join us!

What this job can offer you

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making. We're in a transformative period where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and python being extensively employed.

Senior Data Analyst, Product Analytics is a key hire for our Data Analytics team. This individual will help spearhead our team’s partnership with the Product organisation at Remote, building relationships, generating insights, guiding product decisions, and enhancing user experiences. The ideal candidate should have a strong analytical mindset, excellent communication skills, and a history of providing actionable insights that influence product strategy and performance, which will shape the future of Remote.

What you bring

  • Significant experience working closely with product development teams, defining and delivering insights and analysis for digital products, and impacting key product decisions
  • Extensive familiarity with event tracking taxonomy design, event tracking tools such as Rudderstack or Segment, and product analytics visualization tools like Mixpanel or Amplitude
  • Strong knowledge of product metric design frameworks and implementation, assisting and enabling product teams throughout the lifecycle of measurement of their KPIs
  • Excellent problem-solving skills and attention to detail, with the ability to translate complex data into actionable insights and recommendations
  • Ability to build effective relationships and collaborate with product leadership
  • Familiarity with data visualization tools like Metabase or Looker
  • Proficiency in SQL and dbt. Python is a plus.
  • Excellent communication and ability to document processes for both business and technical audiences
  • Strong organizational and project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment
  • You are a kind, empathetic, and patient person
  • It's not required to have experience working remotely, but considered as a plus
  • Writes and speaks fluent English

Key Responsibilities

  • Collaborate with cross-functional teams including product managers and engineers, to define analytics requirements and prioritize initiatives
  • Spearhead efforts to define and implement a robust product metrics framework, to proactively measure and report the performance of key product lines and features
  • Contribute to our education and enablement efforts so that Product teams are able to implement and QA event taxonomies following well-defined best practices, and are able to self-serve insights on customer and user behaviour
  • Analyze large datasets to extract actionable insights related to user behaviour, product usage, and feature performance
  • Develop and maintain KPIs and dashboards to monitor product metrics and identify insights
  • Work alongside data engineers, analytics engineers, and data analysts to collect the right data, to build out our data warehouse in dbt, and to properly deliver product models and metrics
  • Mentor and support junior analysts by providing guidance, sharing best practices, and promoting a culture of continuous learning and development


  • You'll report to: Manager, Data Analytics
  • Direct reports: None
  • Team: Engineering - Data
  • Start date: As soon as possible

Remote Compensation Philosophy

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.

The base salary range for this full-time position is between $35,850 USD to $80,650 USD. 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.

Application process

  1. Interview with recruiter
  2. Interview with future manager
  3. Home assignment
  4. Interview with team members (no managers present)
  5. Interview with a director of analytics
  6. Prior employment verification check



Our full benefits & perks are explained in our handbook As a global company, each country works differently, but some benefits/perks are for all Remoters:

  • work from anywhere
  • unlimited personal time off (minimum 4 weeks)
  • quarterly company-wide day off for self care
  • 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

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

  1. Please fill out the form below and upload your CV with a PDF format.
  2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
  3. 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.

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.

This job is no longer open
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