About this role.
Paddle is hiring a Senior Analytics Engineer to develop trusted marketing and go-to-market data products, reporting layers, and scalable analytics infrastructure. The role centers on advanced SQL, dbt, Snowflake, BI tools, data quality, metadata management, and activation of warehouse data into operational systems. This person will partner extensively with Marketing, RevOps, Sales, Finance, and Data to standardize definitions and turn business questions into decision-ready insights. The position also includes enabling self-service through documentation, training, office hours, and mentorship of junior analytics colleagues.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
I would first align stakeholders on canonical funnel stages, grain, ownership, and timestamps. I would build staged source models, standardized identity and campaign mappings, and a tested fact model that preserves historical stage transitions. I would document assumptions, monitor completeness and freshness, and expose business-friendly metrics through governed semantic layers.
I would explain the issue's impact in business terms, trace the lineage from the dashboard to source records, and quantify affected records and metrics. I would coordinate with source-system owners to fix the upstream process where possible, add dbt tests and monitoring to prevent recurrence, and communicate the correction and any reporting restatement clearly to stakeholders.
I would use modular staging, intermediate, and mart layers; consistent naming; reusable macros; source freshness checks; schema and custom tests; model contracts where appropriate; and thorough model documentation. I would also apply code review, CI checks, ownership conventions, and exposure definitions so downstream dashboards and operational uses have clear lineage.
I would be transparent about attribution limitations and triangulate across available evidence, such as tagged campaign activity, lead and opportunity progression, conversion rates, cohort performance, spend, and incremental or holdout-style comparisons where feasible. I would separate observed attribution from causal conclusions and prioritize instrumentation improvements for future measurement.
I start with well-defined, curated datasets and metrics rather than asking users to navigate raw tables. I provide concise documentation, examples, training sessions, office hours, and feedback loops, while using permissions and semantic definitions to keep sensitive data and key metrics governed. I measure adoption and recurring questions to continuously improve the data product.
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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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