Senior Analytics Engineer - Marketing

Posted 3 Days Ago
Be an Early Applicant
3 Locations
Remote
Senior level
Fintech • Information Technology • Payments • Software
Paddle is your payments infrastructure in a single platform
The Role
Build and maintain trusted marketing data products and models in Omni and Snowflake using dbt and SQL. Ensure data quality, documentation, lineage, and masking. Partner with Marketing to enable reporting, attribution, funnel monitoring, and activation into operational tools. Provide training, mentorship, and stakeholder support to drive marketing measurement and decision-making.
Summary Generated by Built In

What do we do?

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better.

We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 6000 software sellers in 245 territories globally.

 

The Role:

We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with the Marketing team in order to ensure that funnels are being tracked and surfaced in our data models and that Marketing campaigns can be evaluated using accurate data.

 

What you'll do:

  • Create trusted, self-serve datasets and reporting layers in Omni that power Marketing performance reviews, campaign reporting, attribution analysis, funnel health monitoring, and investment decision-making.

  • Proactively identify and resolve data quality issues across Marketing and GTM systems, including source tracking, campaign metadata, funnel stage completeness, attribution coverage, and spend data.

  • Add comprehensive metadata to datasets, including documentation, lineage, ownership, definitions, data quality checks, and sensitive data masking.

  • Partner with Marketing stakeholders to translate business questions into robust data products, dashboards, analyses, and decision-ready insights.

  • Enable Marketing teams to confidently use Omni and core GTM datasets through documentation, training, office hours, and self-serve resources.

  • Activate data from Snowflake into operational tools where needed, supporting audience segmentation, lifecycle programmes, campaign optimisation, or GTM workflows.

     

We'd love to hear from you:

  • Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.

  • Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.

  • Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.

  • Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.

  • Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.

  • Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.

  • Familiar with Marketing and GTM data concepts such as campaign tracking, attribution, funnel stages, lead/account lifecycle, pipeline generation, paid media, web analytics, CRM data, and marketing automation data.

  • Experienced with common GTM tools such as Salesforce, HubSpot, Marketo, Google Analytics, ad platforms, enrichment tools, or similar. The exact stack is less important than the ability to understand how GTM data is created, transformed, and used.

  • Comfortable working across Marketing, RevOps, Sales, Finance, and Data to align definitions, reporting logic, and ownership.

 

Everyone is welcome at Paddle

At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.
Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.


Our Values

  • Paddle Together - “None of us, is as smart as all of us”

  • Paddle Simply - “Simple can be harder than complex: you have to get your thinking clean to make it simple”

  • Paddle for others - “We can realise our wildest dreams, so long as we help enough other people to realise theirs”

 

Why you’ll love working at Paddle

We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.

We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and 4 months paid family leave regardless of gender. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.

Skills Required

  • Extensive experience in analytics engineering or related data roles
  • Advanced SQL skills
  • dbt experience (modeling, tests, documentation)
  • Snowflake experience
  • Experience building BI reports and dashboards (Tableau, Looker, Power BI, Snowsight)
  • Experience with data ingestion/activation no-code tools (Fivetran, Stitch)
  • Metadata management, documentation, lineage, data quality checks, and sensitive data masking
  • Familiarity with Marketing and GTM data concepts (campaign tracking, attribution, funnel stages, CRM and marketing automation data)
  • Experience with common GTM tools (Salesforce, HubSpot, Marketo, Google Analytics, ad platforms)
  • Stakeholder collaboration, training, and mentorship experience

Paddle Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Paddle and has not been reviewed or approved by Paddle.

  • Leave & Time Off Breadth Time off is framed as flexible or unlimited, with an added work-from-abroad allowance within a digital-first model. This creates broad latitude for rest and mobility.
  • Parental & Family Support Paid parental leave is presented as substantially generous for both birthing/primary caregivers and partners. Family-focused support sits prominently alongside core benefits.
  • Healthcare Strength Private healthcare is included, with mental-health support and regional medical, dental, and vision coverage referenced. Health partnerships and support programs are highlighted across locations.

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The Company
HQ: London
355 Employees
Year Founded: 2012

What We Do

Paddle offers SaaS companies a completely different approach to their payments infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers, taking away 100% of the pain of payments fragmentation. It’s faster, safer, cheaper, and, above all, way better. We have over 230+ talented employees serving over 3000 software sellers in 245 territories globally. Backed by investors including FTV Capital, Kindred, Notion, and 83North, Paddle aims to define the next wave of B2B SaaS leaders.

Why Work With Us

At Paddle we care deeply about enabling a great culture which is inclusive no matter your background. We celebrate our diverse group of talented employees and we pride ourselves on our transparent, collaborative, friendly and respectful culture. We live and breathe our core values: Exceptional Together Execute with impact Better than Yesterday

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