Senior Analytics Engineer - Marketing

Paddle

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.

Kyra

ABOUT KYRA Kyra is an enterprise influencer marketing platform working with brands like SharkNinja, Coach, H&M, Ray-Ban, and Converse. Our platform manages the full lifecycle — creator discovery, campaign management, content review, payments, analytics, and AI-powered intelligence across TikTok, Instagram, and YouTube. THE ROLE We’re looking for a senior backend engineer with sharp product judgement. You’ll work alongside our engineering lead on a platform that processes millions of creator data points, runs real-time analytics, and powers AI-driven workflows. This isn’t a “wait for a fully-scoped ticket” role. You’ll take ambiguous direction, make calls, and ship features end-to-end — including deploying them yourself. We have infra already; we need someone who can operate inside it confidently, not someone who wants to rebuild it. WHAT YOU’LL ACTUALLY DO • Build and maintain domain modules in a DDD-style Node.js/TypeScript monorepo. • Take vague product direction, sharpen it into a real spec, and ship a v1 — then iterate. • Design APIs, write docs, and manage database schemas and migrations. • Build features that span our main transactional backend and a separate analytics backend running heavy queries over creator data. • Write services that integrate with TikTok, Instagram, and YouTube APIs. • Work with queue workers for background job processing (media analysis, outreach, data syncing). • Deploy your own services to our cloud infrastructure, write the migrations, watch them go out safely. • Investigate production issues when they touch your code — trace through the observability stack to find the cause. REQUIRED — NON-NEGOTIABLE • 6+ years backend development with Node.js and TypeScript in production. • Product mindset — you’ve shipped features where the brief was a paragraph, not a ticket. You ask why before how, make calls when requirements are vague, and iterate after release. You’ve sat across from non-engineers and left with a sharper problem than you walked in with. • Strong relational database experience — schema design, query optimisation, safe migrations at scale. • Comfortable deploying and operating your own services on a major cloud provider — containers, CI/CD pipelines, the basics of running things in production. You don’t need to be an infra specialist, but you don’t need handholding either. • Queue-based background job processing patterns. • REST API design and documentation. • Git workflow maturity — branching strategies, code review, migration safety. You understand why you don’t run destructive commands on a production migration. STRONGLY PREFERRED • Shipped AI features to production — you know what evals are for, why prompts regress, and why “it worked in testing” isn’t enough. • Columnar / analytics databases for heavy aggregate queries. • In-memory caching and session stores. • DDD or domain-driven design — explicit module boundaries, repositories, services, event-driven patterns. • Production observability — you’ve triaged real issues, not just configured dashboards. • OAuth, OTP, or session-based auth systems in production. NICE TO HAVE • Social media platform APIs (TikTok, Instagram, YouTube). • Search infrastructure for large datasets. • Monorepo tooling and workflows. • Side projects, OSS contributions, or tools you’ve built for yourself that other people now use — signal that you ship for the love of shipping. WHAT THIS PERSON LOOKS LIKE • Holds opinions and changes them fast — you’ll ship the wrong thing sometimes and replace it a week later. That’s the job. • Debugs across boundaries — when a metric shows the wrong number, you can trace it from the frontend component through the API layer down to the database query and figure out where it breaks. • Writes code that doesn’t need babysitting — proper validation, error handling, and patterns other team members can follow. • Communicates proactively — posts in Slack when deploying, writes migration plans before running them, documents API contracts for the frontend team. • Moves fast without breaking things — we deploy to production multiple times a week. You should be comfortable with that cadence while still being careful. TEAM A small, high-output engineering team (~10 people) led by the current engineering lead. Async standups, weekly refinement, ship directly to production. This is a heavy AI-usage environment — AI tooling is woven into how we build, review, and ship. Comfort using it daily is expected. 💟 Support If you have a condition or require an adjustment to our interview process - please let us know so we can make adjustments to support you. Please note that when you submit an application or resume, your data will be processed in line with our privacy policy.

Paddle

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 5000 software sellers in 245 territories globally. The role: As an Analytics Engineering Manager, you'll lead a dynamic team, working closely with various business units to translate complex business requirements into actionable data solutions. You will play a critical role in communicating analytics insights clearly and with impact, enabling data-driven decision-making across the organization. Collaboration with Sales, Marketing, Finance, Product Managers, and Engineering teams will be essential to align analytics solutions seamlessly with business objectives and technical capabilities. What you'll do: Leadership & Strategy * Define and own the multi-year technical vision and strategy for Analytics Engineering, ensuring alignment with Paddle's product and business objectives. * Lead, coach, and develop a team of Senior Analytics Engineers, fostering a high-performing, inclusive, and growth-oriented culture. * Act as a force multiplier across the group: identifying and removing structural blockers, elevating engineering standards, and scaling delivery capacity. * Drive and champion best practices in analytics engineering, data modelling, data governance, and operational excellence across all teams. Stakeholder Management * Serve as the senior Engineering representative for Analytics Engineering with cross-functional leaders in Product, Finance, Sales, Marketing, and Data Platform. * Build and maintain trusted, long-term relationships with stakeholders at Director and VP level, proactively aligning on goals, managing expectations, and communicating progress and risk with clarity and transparency. * Navigate competing priorities across multiple senior stakeholders; make and communicate clear, well-reasoned trade-off decisions that reflect both engineering and business considerations. * Represent Analytics Engineering in Engineering leadership forums and contribute to shaping the broader engineering organisation. * Advocate effectively for investment (headcount, tooling, infrastructure) by constructing well-evidenced business cases and presenting them to senior leadership. Data as a Product * Champion a product mindset for data across the organisation: ensuring Paddle's analytics data estate is treated as a first-class product with clear ownership, defined consumers, and measurable quality standards. * Lead the definition and governance of shared data definitions and business metrics, working cross-functionally to drive alignment and eliminate ambiguity across teams. * Ensure all data assets are well documented, well understood, and readily discoverable, including via MCP tooling, so that engineers, analysts, and business stakeholders can self-serve with confidence. * Define and enforce clear data ownership across the analytics estate, ensuring every dataset and model has an accountable team and a well-understood purpose. * Establish and continuously improve data quality standards: defining what "good" looks like, instrumenting quality checks throughout the pipeline, and ensuring issues are surfaced, triaged, and resolved systematically. * Own the prioritisation of the Analytics Engineering roadmap, balancing strategic data product initiatives, platform reliability, data quality improvements, and stakeholder requests in a structured and transparent way. * Build and maintain the processes by which new data needs are brought into engineering, evaluated, and sequenced, ensuring the group can absorb demand predictably and say no clearly when needed. Technical Oversight * Oversee the reliability, scalability, and accuracy of Paddle's analytics data estate, including core data pipelines, data models, and transformation layers (Snowflake, DBT, Fivetran). * Set the architectural direction for the group, guiding the most significant technical decisions and ensuring the analytics platform can scale with Paddle's growth. * Maintain high standards of data governance, data quality, and documentation across the group. People Development * Create and maintain a culture of continuous learning within the group, ensuring Senior Analytics Engineers are growing in both technical depth and professional skills. * Provide regular, high-quality feedback, set clear growth expectations, and identify high-potential individuals early. * Create and maintain training resources, onboarding pathways, and knowledge-sharing rituals that systematically elevate the capability of the group. * Actively identify skill gaps across the group and develop plans to address them through hiring, mentoring, or targeted development initiatives. We'd love to hear from you if you are: * Have significant experience leading teams of senior engineers, with a track record of building and scaling high-performing analytics engineering groups. * Can demonstrate strategic ownership of a technical domain: setting direction, driving alignment, and delivering measurable outcomes at group or department level. * Have a strong product mindset for data: you think about data assets in terms of consumers, quality, ownership, and discoverability, not just pipelines and models. * Are an exceptional communicator with proven senior stakeholder management skills, including the ability to influence without authority, manage competing priorities transparently, and turn complex technical context into clear business language. * Have deep expertise in modern analytics engineering (DBT, Snowflake, Fivetran or equivalent) and can provide strong technical oversight without being hands-on day-to-day. * Take a structured, principled approach to data governance: you have experience driving alignment on definitions, establishing ownership frameworks, and raising the bar on data quality at scale. * Are familiar with AI coding assistants (such as GitHub Copilot, Cursor, or similar) and understand how they can meaningfully improve engineering productivity within an analytics engineering context. * Have a working knowledge of semantic layers (such as dbt Semantic Layer, Cube, or LookML) and understand how they underpin reliable, consistent data access, including their role in enabling AI tooling and MCP-based data discoverability. * Are passionate about developing people and building systems, processes, and cultures that enable others to do their best work. * Are proactive, self-aware, and continuously looking for ways to improve both yourself and the organisation around you. 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.