Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Salary range: the expected base salary range for this position is between €45,600 - €68,400.

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

About the Role

We are seeking a highly experienced Senior Data / Business Analyst to play a key role in advancing our Marketing Analytics and Campaign Reporting capabilities. This role is split between hands-on reporting and analysis (50%) and dashboard development and reporting automation (50%), with a strong emphasis on ownership, rigor, and scalability.

This is an individual contributor role for someone who can independently own reporting outputs, influence measurement standards, and help move the organization from fragmented and manual analytics toward more consistent, automated, and trusted insights. The ideal candidate is comfortable working in an environment where analytics are evolving and enjoys improving how data is captured, analyzed, and used.

Responsibilities:

• Contributing to the design, development, and ongoing improvement of Tableau dashboards used to assess campaign performance, channel effectiveness, and funnel outcomes
• Leading the delivery of recurring performance reports and executive-ready scorecards, combining automated dashboards with hands-on analysis and interpretation
• Serving as a subject matter expert for marketing performance reporting, proactively identifying trends, issues, and optimization opportunities
• Driving the transition from manual reporting to scalable, standardized, and self-service dashboards
• Analyzing and synthesizing data from multiple Martech and CRM platforms, including GA4, Salesforce, HubSpot, Cvent, LinkedIn, YouTube, X, Brightcove, and related sources
• Validating data accuracy across systems and proactively identifying discrepancies, tracking gaps, and data quality issues
• Partnering with CRM and marketing operations teams to influence how data pipelines, schemas, and reporting views are structured
• Supporting and reinforcing UTM standards and campaign tracking governance to ensure consistent attribution and measurement
• Helping maintain structured campaign hierarchies (e.g., parent/child campaigns) to enable reliable reporting
• Contributing to the definition and documentation of metrics, KPIs, and reporting standards used across marketing and sales
• Partnering with marketing, sales, and various stakeholders to translate business goals into effective reporting and insights
• Communicating insights, assumptions, and limitations clearly to both technical and non-technical audiences

Required qualifications:

• +6 years of experience in data analysis, business analytics, marketing analytics, or campaign reporting
• Strong experience supporting B2B marketing analytics, preferably in FinTech, Financial Services, SaaS, or enterprise environments
• Advanced expertise in Tableau, including dashboard architecture, complex calculations, and performance optimization
• Hands-on experience with GA4, Salesforce, HubSpot, and digital marketing platforms
• Advanced Excel skills for data analysis, validation, and complex reporting workflows
• Proven ability to operate independently and take end-to-end ownership of analytics deliverables
• Strong analytical judgment and comfort working with imperfect or evolving data
• Excellent written and verbal communication skills, including experience presenting insights to senior stakeholders

Nice to have:

• Experience with web tracking or tag management (e.g., Google Tag Manager)
• Familiarity with attribution models and conversion path analysis
• Exposure to additional BI tools such as Looker Studio or Power BI
• Experience helping organizations mature analytics practices through standardization and automation

This role is central to strengthening how marketing performance is measured, understood, and trusted across the organization. You will have ownership over critical reporting used by senior stakeholders and the opportunity to meaningfully improve analytics practices over time without unnecessary over‑engineering.

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office 3 days a week with the flexibility to work remotely 2 days.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance.

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

Upwork’s Marketing Analytics team is focused on optimizing our growth engines through rigorous experimentation and data-driven decision making. This role sits at the intersection of product and marketing, driving measurement and experimentation across the customer funnel to improve acquisition, engagement, and conversion. You will partner cross-functionally with product, marketing, SEO, and data science teams to design experiments, analyze user behavior, and build frameworks that inform growth strategy. This role also supports understanding organic discovery, including traditional search and emerging AI-driven discovery surfaces.

Your Responsibilities:

• Organic & AI Discovery Analytics: Support analysis of organic channels, including SEO and emerging AI-driven discovery (e.g., ChatGPT, Gemini). Evaluate performance signals such as engagement, traffic, and visibility.
• Strategic Communication: Present insights and recommendations to marketing leadership, influencing growth strategy and prioritization.
• Experimentation & Testing: Design, execute, and analyze A/B and incrementality tests. Define hypotheses, success metrics, and test duration, and conduct deep post-test analysis to inform decisions.
• Drive insights that improve conversion, engagement, and overall growth.
• Data Extraction & Technical Analysis: Extract and analyze large datasets using SQL, Python, or R to support experimentation, user behavior analysis, and growth initiatives.
• Experimentation Tooling: Utilize platforms such as Statsig, Optimizely, VWO, or similar tools to implement and monitor experiments across experiences.
• SEO Tooling: Leverage tools such as Google Search Console, SEMrush, Ahrefs, or similar to explore keyword performance and on-site engagement trends.

What it takes to catch our eye:

• A degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience designing and executing experiments (A/B, multivariate, incrementality), including hypothesis development, metric definition, sample sizing, and post-test analysis.
• Experience in marketing or growth analytics, with a strong focus on customer funnels, acquisition, and conversion optimization. Experience with organic search and SEO analytics.
• Technical Proficiency: Strong SQL skills and proficiency in Python or R for analyzing large datasets and supporting experimentation and analytics workflows.
• Experimentation Tools: Experience with platforms such as Statsig, Optimizely, VWO, or similar tools used to run and monitor experiments.
• BI tools such as Looker or Tableau. (SEO-specific tools are a plus, e.g., Google Search Console, SEMrush, Ahrefs, Botify, Screaming Frog)
• Testing & Statistical Knowledge: Strong foundation in experimental design, statistical significance, and methods to measure incremental impact.
• Marketplace Context: Previous experience in a two-sided marketplace or consumer tech environment will be highly regarded.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

Let's start with the role

As a Product Analyst on the Sportsbook Product team, you will help shape how product performance is measured by defining the right questions to ask, and scaling analytics methods and tools to support our growing business. You will drive high-quality, high-velocity decisions for Sportsbook’s diverse product teams while directly reporting to our Head of Sportsbook Product.

We’re looking for an experienced product analyst to be responsible for defining and tracking KPIs, supporting strategic initiatives, evaluating A/B tests through 3rd-party experimentation platforms, and aggregating data from multiple sources—from GA4 to our big data lake of transactional data—to help the team achieve a 360° view of our customers.

Our ideal candidate is a great storyteller, using data to support product roadmaps and ensure that any new feature launched is continually improved through data insights and impactful narratives. Your input will be crucial in decision-making across all major product strategies and initiatives for new feature development and ongoing product improvements. 

• Work alongside the Sportsbook Product Team to support our dynamic and fast-paced Product roadmap, providing insights to help achieve our Product vision by defining, monitoring and reporting on KPIs and product metrics.
• Leverage the transactional data lake to connect customer journeys with business outcomes.
• Support our experimentation process by analyzing A/B test results and helping expand our internal experimentation framework.
• Implement GA4 tagging to map all user journeys, identify and highlight customer pain points across products, and work closely with the Sportsbook product management team to prioritize these in the roadmap.
• Synthesize data from a variety of sources, in close collaboration with BI and other stakeholders, to develop dashboards, reports, and visualizations (e.g., funnels in Looker Studio or other internal tools) that drive understanding and inform action across the Sportsbook vertical.
• Ensure data quality, consistency, and governance across all analytics initiatives to maintain trust and reliability in insights.
• Use data analytics, data visualization, and data modeling techniques to extract actionable insights that will facilitate prioritization and product strategy formulation.
• Advise and inform the Sportsbook team at each stage of the product lifecycle—from supporting product and design teams during discovery to measuring the impact of features post-launch—while collaborating closely with Product Managers, Engineers, Designers, BI Analysts, and Product Analysts from other divisions.

What  you’ll bring:

A great candidate for this role is passionate about working in a fast-paced product environment and is eager to enhance our product offering while creating an exceptional betting experience. 

• 2+ years of product analytics experience in a consumer internet business, or within a high-velocity, high-growth product or business unit.
• Experience assessing the impact of A/B experiments in a fast-paced product development cycle, ideally using platforms such as Kameleoon or Optimizely.
• Proficiency in SQL for data manipulation.
• Ability to independently determine and establish data analysis priorities, balancing ongoing projects with requests from various stakeholders.
• Experience with GA4 and other product or experience analytics platforms, with strong skills in creating dashboards in Looker Studio or similar visualization tools.
• Strong written communication skills to share insights and influence stakeholders.
• Detail-oriented, impact-driven, customer-centric approach to data analysis.

Nice to have:

• Previous experience in the sports betting industry.
• Experience with BI/visualization tools such as PowerBI.
• Familiarity with Databricks or similar big data platforms.

Kaizen Gaming Perks

• 🕑 Hybrid way of working;
• 🏃 A buddy will support you with your onboarding;
• 💸 Competitive pay & bonus scheme;
• ⭐Developmental 360° feedback framework;
• 💰 Monthly meal allowance;
• 👩‍⚕️ Private health insurance for you and your family;
• 📚 Unlimited access to Udemy & continuous training;
• 👨‍👩‍👧‍👦 Family Support.
• #LI-Hybrid
• #LI-GP2

The role

Your mission is to operate the technical and tooling capabilities of our front-line Operations teams, focusing on optimising and improving team efficiency. The teams you support will include Customer Operations, KYC and Compliance, and Internal Operations (Billing and Credit Control).

Our technologies

We endeavour to build simple, reliable systems and believe in using the best technologies for each task. Joining the team, you'll be working with Zendesk, Salesforce, Looker, Qualtrics, and Ruby (to overcome any system limitations).

You're not expected to have expertise in all these technologies. Our team members picked up the tools once they started working with the team. If you're unsure, but you’ve got a broad base of experience with other SAAS tools, please apply.

About the Service Management Team

The new Service Management is responsible for improving our processes, efficiency, and use of technology in serving our customers. Our aim is to create experiences that delight, while being as efficient as possible. We focus on everything from refining processes as we scale, automating as much as we can, and deploying AI solutions to handle as much of the work as possible. 

We build systems that support everything from onboarding and account queries, through to complex fraud and credit investigations. Consequently, we get to work with a very wide range of GoCardless’s systems. Everything from our big data systems, our core product, 3rd party detection tools, and our customer support and ticketing systems. We get to see our customers through their entire lifecycle on the platform.

This is an ideal for the curious, those who look at something and cannot help but wonder why it works, and how to make it better. This is a role for someone who wants to work with a wide range of other functions, and is always willing to try something new.

What excites you

• You’ll help grow and maintain the internal systems, codebases, and tools being used, ensuring these systems are integrated where required.
• Create, own, and maintain technical process documentation.
• Work with Operations leaders to identify inefficiencies in team and cross-functional processes and take ownership of improving these.
• Be the technical voice for Operations across all other tech functions to enable us to understand how our tooling interacts across the lifecycle. 
• Work with other tech functions on supplier integration, sundown, and implementation projects focusing on the technical impact of Operations tooling.

What excites us

• You’ve worked with Zendesk (omnichannel) and Qualtrics as an admin
• You're able to utilise APIs where necessary to overcome system limitations
• You’re familiar with version control tools e.g. Github
• You’re curious and need to understand how everything fits together. If someone can’t tell you the answer, you’ll find a way to figure it out
• You have a proven record of improving internal processes, demonstrated by cost reduction, better customer experience and efficiency improvements
• You’ve written code in Ruby

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €48,000 - €72,000

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Charging your car should feel as natural as charging your phone. That’s the future we’re building: a network of EV chargers where life happens. We don’t just install chargers. We accelerate sustainable mobility. We obsess over partnerships. We grow relentlessly:our network, our partners, ourselves.

If you’re here, you’re probably not looking for “just a job.” Neither are we. 😎 We’re driven by impact, and always looking for people who thrive on turning bold ideas into reality. If that sounds like you, you’ll feel at home here. We’re looking for people who see challenges as puzzles, not problems, thrive in fast-growing, high-energy environments, want to shape the future of mobility, not just watch it unfold. At Powerdot, you’ll get freedom, ownership, and responsibility. The space to experiment. The chance to scale your ideas. And a team that’s always pushing the edge of what’s possible.

Don’t stop reading, the best part’s coming up 👇🏼

The Senior Pricing Coordinator will play a key role in the next phase of accelerated growth of Powerdot and in maximizing the profitability of our EV charging network through an efficient pricing strategy. As part of a central function, you will design, execute and scale pricing strategies across all Powerdot markets. You will collaborate closely with Local and Central teams to gather all markets perspectives and ensure that pricing is optimized and aligned with company goals. Our culture at Powerdot is one of ownership, fast execution and over-achievement. As a Senior Pricing Coordinator, you will be expected to elevate these standards across the organisation by consistently delivering high-impact work. 

How You’ll Shape Our Story:

Design and deploy pricing experiments to maximise revenues using advanced analytics and A/B testing methodologies. • Build customized dashboards to monitor pricing performance and recommend an adequate pricing strategy ensuring competitiveness and compliance with Powerdot global targets • Collaborate with Local teams, Data & Product to ensure pricing experiments are correctly implemented and measured • Develop new pricing or discount models supporting new products, targeting a wide range of user profiles • Develop and improve internal processes in coordination with Central teams to ensure our organization supports a rapidly evolving pricing strategy • Act as the internal expert on how pricing is operationalized across systems • Prepare recurring performance and pricing monitoring and insights reports for leadership.

This Is About You, Not Us 🫵🏼:

4+ years of experience in Consulting, Finance, Pricing, Analytics, Data Science or related fields. • Strong financial and analytical mindset with hands-on experience in designing and evaluating new pricing or business models • Ability to analyse large datasets, build models, and define actionable insights. • Strong project management skills, ability to design, standardise, and improve recurring processes. • Ability to structure and communicate complex decisions clearly • Experience with dashboarding tools (Looker, Tableau, Power BI, or equivalent) • SQL, python or other analytical programming languages highly valued. 

Nice to haves: Understanding of pricing models, elasticity, and operational pricing systems. • Experience in energy, mobility, EV charging, or other dynamic-pricing industries is a plus

The Kind of Energy We’re Looking For:

• We’re not into titles, egos, or corporate buzzwords. We’re into people who make things happen.
• You lead and listen. Whether you’re steering the ship or rowing alongside the crew, you bring others with you and keep communication wide open.
• You own your stuff. You don’t wait for instructions: you see an opportunity, grab it, and make it better than anyone expected.
• You’ve got a green heartbeat. Sustainability isn’t just cool, it’s core. You care about doing work that leaves the world a little better than you found it.
• You balance hustle with humanity. You love the buzz of in-person teamwork, but you also know when to recharge (pun totally intended 🔋).
• You grow on purpose. You’re hungry to learn, to stretch, and to build something meaningful, not just rack up LinkedIn bullet points.

How you'll be Powered up?

• 🏥 Private health insurance coverage
• 💪🏼 Gym membership to help you stay active
• ⏰ Flexible working hours: you own your time
• 🌍 Annual offsite where we celebrate the year’s achievements and spend quality time together (this year we went to Algarve, Portugal!)
• 🤝🏼 Regular team-building events with your local teammates
• 📚 English Training as English is our language used to connect with all markets and teams
• 🍩 Free office snacks and unlimited coffee & Meal allowance for every worked day
• ⚡️Special discounts for charging your electric vehicle

🧑‍🧑‍🧒‍🧒 Our Promise To You

The best solutions come from different voices. We’re building a culture where inclusion, respect, and equal opportunity aren’t policies they’re lived every day. At Powerdot, everyone has the space to speak up, challenge the status quo, and make a difference. At Powerdot, your voice powers the future, literally. 

Payment Intelligence

Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction.

Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features.

What You'll Do

At GoCardless analytics is at the core of everything we do and drives business performance through data insight. You will play a critical role partnering closely with stakeholders across the business (including product, operations, marketing, and commercial teams) in order to deliver actionable insights to influence decisions at every level of the organisation. The role is focussed on identifying value and driving change throughout the business derived from insights. Your insights will be turned into actions that will help drive the future of GoCardless. You will act as the bridge between the data, technical and business stakeholders informing strategic plans and will own and evolve a suite of reports designed to give a wide range of stakeholders access insights. 

• Own and iterate on experiments to generate user insight and drive business metrics, allowing the team to quickly take action on business opportunities.
• Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
• Influence the organisation to increase Product Data coverage and implement user tracking best practices - acting as a mentor to guide other members of the organisation to become data driven
• Build models of user-segmentation, customer lifetime value etc in order to inform strategic product & commercial decisions
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker), Tracking (Amplitude), Automation (Python), AI (Gemini)

What Excites You

• Become a strategic partner and advisor for the business: you like to proactively seek out gaps in our product capabilities, suggest areas of improvement based on tangible data, as well as owning processes to run and improve testing from the tracking point of view when developing new features. 
• Act as a catalyst for change across the organization, driving the evolution of our data analytics standards, internal processes, and overall product data strategy to ensure scalability and operational excellence.
• Translate complex technical findings into compelling, high-impact narratives. You will bridge the gap between technical data and commercial strategy, influencing product roadmaps and executive decision-making across the entire organization.
• Stay current with AI and data trends to solve real-world problems. You like to leverage these technologies to enhance the payment experience, as well as to optimize data analysis, and deliver high-impact insights and strategic recommendations across the business.
• Unlocking new layers of payment performance, from uncovering new fraud vectors to maximizing success rates
• Serve as a cross-functional mentor, championing a data-driven mindset and elevating the analytical capabilities of team members throughout the company.

What Excites us

• You have a background working in similar fast paced product-driven teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed product decisions
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product
• You have extensive experience with data visualisation tools mentioned above and develop compelling visualisations which influence decision making and business understanding
• You have advanced SQL skills and intermediate Python skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
• You have a background working in similar fast paced teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed decisions.
• You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across the business and negotiating timelines to unblock yourself and make things happen!

Salary range: the expected base salary range for this position is between €32,000 - €48,000.

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Payment Intelligence

Our mission is to make GoCardless the best way to pay and be paid. Our ambition is to dramatically improve payment performance and safeguard our customers from bad outcomes like payment fraud and failures. You will help find data opportunities and areas to improve our payment intelligence products. You should be comfortable with large data sets, customer data, and machine learning principles. You’ll work alongside Product Managers, Engineers and Data Scientists in our two core Payment Intelligence teams to provide critical insights and help drive product direction.

Our existing Payment Intelligence Products are already one of the key reasons why customers choose GoCardless. These include Protect+, which defends customers from fraud, and Success+, which helps customers intelligently recover failed payments. You will need to own our understanding of these products and identify insights and opportunities to help us develop new intelligent features.

What You'll Do

At GoCardless analytics is at the core of everything we do and drives business performance through data insight. You will play a critical role partnering closely with stakeholders across the business (including product, operations, marketing, and commercial teams) in order to deliver actionable insights to influence decisions at every level of the organisation. The role is focussed on identifying value and driving change throughout the business derived from insights. Your insights will be turned into actions that will help drive the future of GoCardless. You will act as the bridge between the data, technical and business stakeholders informing strategic plans and will own and evolve a suite of reports designed to give a wide range of stakeholders access insights. 

• Own and iterate on experiments to generate user insight and drive business metrics, allowing the team to quickly take action on business opportunities.
• Define how we quantitatively evaluate success, setting KPIs, designing tracking to measure what really matters, delving into the leading indicators of user behaviour
• Influence the organisation to increase Product Data coverage and implement user tracking best practices - acting as a mentor to guide other members of the organisation to become data driven
• Build models of user-segmentation, customer lifetime value etc in order to inform strategic product & commercial decisions
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker), Tracking (Amplitude), Automation (Python), AI (Gemini)

What Excites You

• Become a strategic partner and advisor for the business: you like to proactively seek out gaps in our product capabilities, suggest areas of improvement based on tangible data, as well as owning processes to run and improve testing from the tracking point of view when developing new features. 
• Act as a catalyst for change across the organization, driving the evolution of our data analytics standards, internal processes, and overall product data strategy to ensure scalability and operational excellence.
• Translate complex technical findings into compelling, high-impact narratives. You will bridge the gap between technical data and commercial strategy, influencing product roadmaps and executive decision-making across the entire organization.
• Stay current with AI and data trends to solve real-world problems. You like to leverage these technologies to enhance the payment experience, as well as to optimize data analysis, and deliver high-impact insights and strategic recommendations across the business.
• Unlocking new layers of payment performance, from uncovering new fraud vectors to maximizing success rates
• Serve as a cross-functional mentor, championing a data-driven mindset and elevating the analytical capabilities of team members throughout the company.

What Excites us

• You have a background working in similar fast paced product-driven teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed product decisions
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of a product
• You have extensive experience with data visualisation tools mentioned above and develop compelling visualisations which influence decision making and business understanding
• You have advanced SQL skills and intermediate Python skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes
• You have a background working in similar fast paced teams and are great at communicating insights to a range of audiences, including senior stakeholders, to drive data-informed decisions.
• You are solution-oriented and able to own projects from start to finish. You are comfortable motivating stakeholders across the business and negotiating timelines to unblock yourself and make things happen!

Salary range: the expected base salary range for this position is between €32,000 - €48,000.

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €32,000 - €48,000 

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Domo, Tableau, Python, Looker, Google Cloud Platform, dbt, Airflow, Supermetrics & Demandbase amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless, we excel in experimentation to optimise user acquisition, activation, and retention through continuous discovery and data-driven decision making. As a Growth Analyst, you will partner across Growth, Commercial Strategy, and the wider Data & Business Systems team to design and deliver analytics that shape our self-serve business. You will be instrumental in evaluating performance across the full funnel — from acquisition to monetisation — and in generating insights that influence strategic decisions. 

What excites you 

• Shape commercial measurement across the funnel, collaborating with Growth Marketing, Sales, Commercial Finance and Product to track and evaluate how our acquisition, activation, and monetisation initiatives drive incremental customer and revenue growth.
• You will translate complex data into clear, actionable recommendations that inform go-to-market strategy, pricing, and self-serve optimisation
• Be responsible for defining how we understand return on investment & growth across growth initiatives 
• Proactively identify the biggest growth opportunities in our key channels by delivering deep analysis into customer segments, lifetime values (LTVs), diminishing returns etc and helping the team to prioritise and implement.
• Applying quantitative analysis, generate actionable insights and drive the adoption of your proposed changes in marketing by influencing stakeholders
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Amplitude), Automation (Python), AI (Gemini, Claude)

What excites us  

• You bring strong analytical skills with experience linking data to revenue outcomes — whether through funnel analysis, cohort performance, pricing impact, or channel economics.
• You can distil complex analysis into clear recommendations for commercial and non-technical stakeholders, influencing strategy across Growth, Marketing, and Product.
• You have a bias for experimentation and discovery, always seeking ways to uncover new opportunities to improve acquisition, activation, retention, and monetisation.
• You have a background working in similar commercial analytics roles and have a deep understanding of the domain & and are very knowledgeable of growth strategies
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the commercial strategy
• You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design
• You have extensive experience with data visualisation tools mentioned above and demonstrate storytelling ability with data in order to influence decision making and growth understanding
• You have advanced SQL skills and intermediate Python/R skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €41,600 - €62,400

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

The Role

We’re looking for an innovative and strategic Head of Paid Social Media to lead and evolve our global social media presence across all platforms. This is a high-impact, cross-functional leadership role focused on performance marketing to drive full-funnel engagement and business growth.

Locations:

This position will require relocation to Lisbon, Portugal.

Job Type:
Office, on-site

Responsibilities:

• Lead the integrated global social media strategy across paid channels including Meta, TikTok, Instagram, X, LinkedIn, YouTube, Reddit, and emerging platforms.
• Manage and mentor a growing team of paid media buyers, content strategists, and community managers.
• Define and scale content strategy, working with Creative to deliver scroll-stopping, high-converting content tailored to each platform and audience segment.
• Oversee daily channel operations, from publishing and moderation to media buying and campaign optimization.
• Develop full-funnel social programs that align with brand, acquisition, and retention goals.
• Establish KPIs and reporting frameworks for both brand and performance metrics; continuously analyze performance and iterate.
• Champion community-building initiatives, influencer partnerships, and cultural moments that elevate brand relevance and customer loyalty.
• Collaborate cross-functionally with Creative, CRM, SEO, Product, and Data teams to ensure cohesion and amplification across channels.
• Drive innovation and experimentation, testing new formats, features, and emerging platforms to stay ahead of trends.
• Act as the voice of social internally, providing strategic direction and thought leadership to stakeholders and executives.

Qualifications:

• 7+ years of experience in social media marketing with at least 3+ years in a senior or leadership role overseeing paid strategies.
• Experience in iGaming is a must.
• Proven track record managing cross-platform strategies that drive both brand equity and business outcomes.
• Deep expertise in platform algorithms, social-first content formats, and community management best practices.
• Strong performance marketing acumen, including experience with ROAS-driven paid social campaigns.
• Strong leadership skills with a track record of building and nurturing high-performing teams.
• Proficient in social analytics and reporting tools such as Sprout, Brandwatch, Looker Studio, or native platforms.
• Exceptional communication skills and the ability to influence at all levels of an organization.
• Strategic thinker with creative sensibility and a deep passion for internet culture, trends, and storytelling.
• Bachelor’s or Master’s degree in Marketing, Communications, Business, or related field.