Staff Fullstack Data Analyst - Tracking specialist

Pleo; England; Hybrid; GBP 95,000 - 116,000; Full time

Job summary

A tech company in the United Kingdom is seeking a Staff Fullstack Data Analyst to lead the tracking efforts within the Data function. The ideal candidate will oversee the design and implementation of a company-wide tracking plan and work closely with product and engineering teams. This role is strategic and technical, requiring strong expertise in SaaS analytics, event taxonomies, and SQL. Competitive salary between £95,000 and £116,000, with flexible remote working options available.

Benefits

Comprehensive private healthcare

Lunch allowance or catered meals

25 days of holiday plus public holidays

Option to purchase additional days of holiday

Paid parental leave

Access to free mental health support

Qualifications

• Extensive experience in SaaS product analytics or tracking instrumentation.
• Mastery of event taxonomies and identity stitching.
• Strong written documentation and enablement skills.

Responsibilities

• Lead the design and implementation of product tracking stack.
• Implement the company-wide tracking plan across web and mobile.
• Define data quality SLAs and QA frameworks for tracking.

Skills

SaaS product analytics

Event taxonomies

Behavioral analytics tools

Stakeholder enablement

SQL proficiency

Documentation skills

Tools

Segment

Mixpanel

dbt

Looker

Python

BigQuery

Job description

Please note: applications will not be reviewed before 3rd January 2026 as our team will be taking a well-deserved break for the end of year celebrations.

Please take your time before applying and review the application tips carefully.

About the role

We’re looking for a Staff Fullstack Data Analyst to take ownership of our tracking efforts. The role sits within our Data function while partnering very closely with Product, Engineering, and Design teams. You will be embedded with core product squads for instrumentation and experiment reads, with clear ownership via data contracts.

To be very specific, you will report to the Head of Product Data & Analytics and work closely with Analytics Engineers, Data Analysts, Data Scientists, Data Engineers as well as Product & Engineering stakeholders on a day-to-day basis.

This role is both very strategic and technical where you will get the chance to establish our tracking standards organisation-wide while also being very hands-on with the implementation of our tracking approach. If you are driven by having a huge impact on product development and adoption, then keep on reading!

What you’ll be doing

You will lead the design, implementation, and governance of our product tracking stack. Some of the key initiatives you will drive include:

• Implementing the company-wide tracking plan and event taxonomy across web and mobile
• Lead the identity strategy and join keys across auth states and devices
• Define our Segment governance with Protocols: schemas, routing, enforcement rules, consent signals
• Roll out SDKs and standards for web, iOS, and Android
• Define data quality SLAs, alerting, incident playbooks, and QA frameworks for pre-prod and prod
• Collaborate with Analytics Engineering on dbt models and downstream marts
• Optimise for cost and performance across the tracking stack

In case you are curious, here is a list of some of the technologies the team is working with: Segment, Mixpanel, dbt, Looker, LookML, SQL, Python, BigQuery.

What you bring

You are an established Senior IC in the data space with proven experience of managing data projects autonomously while aligning with SaaS Product & Engineer stakeholders. You can specifically bring:

• Extensive experience in SaaS product analytics, or tracking instrumentation
• Mastery of event taxonomies, identity stitching, and SDK rollouts
• Proficiency with behavioral analytics tools and stakeholder enablement
• Strong written documentation and enablement skills
• Previous experience with experimentation
• Proven solid experience with SQL and dbt, consent/PII compliance

Why is this role a good fit for you

This role is for you if you:

• Love designing event taxonomies and data contracts that make analytics fast and trustworthy
• Have deep hands-on experience with Segment (Connections, Protocols) and product analytics tools like Amplitude or Mixpanel
• Enjoy partnering closely with Engineers and Product Managers to instrument features and ship reliable tracking
• Care about governance, versioning, and privacy without blocking velocity

This role may not be for you if you:

• Prefer pure analysis over instrumentation and platform ownership
• Don’t enjoy debugging SDKs, identity stitching, or end‑to‑end data flows
• Want to avoid change management, schema evolution, and documentation

How you’ll develop in this role

In your first few months at Pleo, you will:

• Roll out a new "Gold Standard" for tracking plans with our pilot product team
• Set up monitoring and alerting for tracking failures, giving you real‑time visibility into data health
• Become the go‑to expert for Tracking at Pleo, shaping how the entire company measures product success

Beyond that, we’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills in software engineering.

The compensation

The annual salary for this position varies based on your location:

• United Kingdom: £95,000 - £116,000
• Denmark: DKK 810,750 - DKK 986,000
• Spain: €108,500 - €132,500

The role can be based in Denmark, Spain or the UK. We can hire either remotely, hybrid or in office but you need to be physically based in any of those countries.
Please note we are unable to offer visa sponsorship for this role in any of the listed locations you find in the job info so you will need to have a valid right to work.

We’re happy to share more about our approach to pay and this range during your first call with us!

Show me the benefits!

• 💳 Your own Pleo card (no more out‑of‑pocket spending!)
• 🍜 Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office
• 🏥 Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis
• 🌴 We offer 25 days of holiday + your public holidays
• 🏠 For our Team, we offer both hybrid and fully remote working options
• 🏖️ Option to purchase 5 additional days of holiday through a salary sacrifice
• ❤️🩹 We use MyndUp to give our employees access to free mental health and well‑being support with great success so far
• 👶 Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work

The Interview Process

1. Intro call: A 30 mins chat with our Talent Partner to discuss the role and your background.
2. Hiring Manager interview: a 60 mins meeting with the team manager to deep dive into your technical experience, domain knowledge and project experience.
3. Coding exercise: a 60 mins SQL focused exercise which you complete async through our chosen coding platform.
4. Team interview: a 60‑minutes interview with colleague from Data, Product and Engineering focused on a practical tracking design exercise that mirrors real work you'll do at Pleo.
5. Values interview: a 30 mins interview with one of our senior leaders focusing on behavioural skills and values alignment.

Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success!
From past experience, candidate have not made it past the CV screening process for the following reasons:

• CV writing and content: it was very clear that many of the CVs we saw were very generic and AI generated. There is no issue with leveraging AI to help with CV writing, but there was little indication of what real impact the candidates had in their previous experience. You might have heard of the “Achieved X, as measured by Y, by doing Z” formula (credit Laszlo Bock ~2014), this is a great way to give a clear picture of what you have actually worked on. Some link or quick description of the companies you’ve worked with is also a great help!
• Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision‑making process.
• Profile to role fit: this is a Staff level Analyst role which requires both deep technical expertise of tracking for SaaS products but also an ability to lead high‑profile projects that have organisation‑wide impact. Having just a bit of Product Analytics experience won’t be enough, we’re looking for a real subject matter expert. We’ve taken great care in writing this role description to reflect the reality of the job as best as possible, please ensure you read it carefully and highlight on your CV the experience relevant to what we are looking for.

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