People Planning & Analytics Lead

Sumup

COMMERCIAL PLANNING SENIOR ASSOCIATE Berlin or London |  Commercial Operations ABOUT THE TEAM The Commercial Planning team sits at the heart of SumUp's commercial engine, turning complex data into the financial insight that shapes how we grow. We partner closely with channel leads, marketing, and product teams to make sure our planning is accurate, proactive, and genuinely useful to the people making decisions. We need someone who can own the analytical workstreams for our Acquisitions channels while building the kind of trusted relationships that make finance business partnering actually work. If you're energised by owning complex models, influencing commercial decisions, and being the person stakeholders turn to when they need clarity, this is the role for you. WHAT YOU'LL DO * Own end-to-end revenue and customer acquisition budget (CAB) planning for acquisition channels, building scalable financial models, running scenario analyses, and delivering proactive performance insights to senior stakeholders * Act as the primary finance business partner for channel leads, building trusted relationships, embedding financial models into commercial decision-making, and influencing assumptions through rigorous analysis * Conduct deep-dive analyses at country, merchant category, and channel level to surface revenue risks and opportunities, and present findings clearly to senior, non-technical audiences * Build business cases and product-level revenue forecasts to support existing and new product growth initiatives * Contribute to the migration of commercial planning from spreadsheets to scalable forecasting tools, and help reduce manual effort in month-end reporting workflows * Provide day-to-day guidance to an intern and/or analyst, helping them develop their skills and navigate complex analytical tasks YOU'LL BE GREAT FOR THIS ROLE IF… * Strong experience in FP&A, revenue planning, business analytics, or management consulting, with a track record of owning complex analytical workstreams independently * Expert-level financial modelling skills, including multi-driver models and scenario analysis, with advanced proficiency in Excel or Google Sheets * Proven ability to act as a trusted finance business partner to commercial or marketing stakeholders, comfortable influencing decisions and building relationships across functions * Working knowledge of SQL for data extraction and manipulation from large datasets * Clear and structured communicator, able to translate complex analysis into sharp, actionable insight for senior non-technical audiences * Comfort working in fast-moving environments where priorities shift, and structure is still being built WHY YOU SHOULD JOIN SUMUP If you're based in Berlin: * 🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup * 🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced * 🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success * 📚 A dedicated annual L&D budget of €2000 for your individual development, which can be used to attend conferences and/or advance your career through further education * 💶 A corporate pension scheme where we match up to 20% of your contributions * 🏖 Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days * 🏋️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches * 🌴 Break4me: 1-month sabbatical after 3 years of service * 🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team If you're based in London: * 🌎 Opportunity to work with a truly global, multicultural team from our central Covent Garden location, wrapped in historic charm and modern flair. This involves an office-first setup * 🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced * 🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success * 🏖 Generous time off: enjoy 28 days of paid leave, plus bank holidays and special leaves * 📚 A dedicated annual L&D budget for attending conferences and/or advancing your career through further education * 🏥 Health matters: private health insurance, including optical and dental * 🚗 Life made easier: salary-sacrifice commuter benefits via Gogeta * 💼 Financial security: retirement scheme (SumUp matches 7% when you contribute 5%) * 🛡 Peace of mind: life insurance from MetLife for 2× your salary * 🌴 Break4me: 1-month sabbatical after 3 years of service * 🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team ABOUT SUMUP Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.

Pigment

Join Pigment: The AI Platform Redefining Business Planning   Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time.   Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.   With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.   At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you. What you’ll do We are looking for an AI Deployment Strategist to join our growing team. In this role, you will work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment. This is a highly cross-functional role at the intersection of engineering, data, and business problem-solving. You will own the end-to-end implementation of Pigment’s AI capabilities for strategic customers — from translating business problems into models, to deploying agentic AI solutions in production. You will play a key role in shaping how organizations leverage Pigment to transform their planning processes, while acting as a critical feedback loop between customers and our Product and Engineering teams.     What you’ll work on Build & deploy AI-powered solutions Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic Design, build, and deploy custom AI agents tailored to customer workflows and decision-making processes Own end-to-end implementation of Pigment for key customers Work directly with customers Partner with business and technical stakeholders to rethink processes and design AI-driven solutions Act as a trusted advisor, guiding customers on best practices  Drive adoption and ensure customers maximize value from Pigment   Prototype & innovate Develop prototypes and experimental AI use cases to solve emerging customer needs Test and iterate on new approaches to agent-based planning and automation   Bridge product, engineering, and customers Collaborate closely with Customer Success, Solutions Architects, and Product teams Translate customer feedback into clear product requirements and specifications Contribute to the evolution of Pigment’s AI capabilities Enable and scale Train users and teams on Pigment features, modeling best practices, and scalable system design Help define repeatable patterns and frameworks for AI deployments across customers     What we’re looking for Required Engineering or computer science degree from top tier institution 2–5 years in a technical, client-facing, or implementation role, such as: Forward Deployed Engineer Data Scientist / AI Engineer Solutions Architect / Solutions Engineer Technical or Implementation Consultant Strong analytical and problem-solving skills with experience in: Data modeling, analytics, or business logic design AI / ML concepts or applied data workflows Proficiency with: Formulas, logic, and structured modeling Programming (Python, SQL, or similar is a plus) Familiarity with: SaaS platforms or planning tools  APIs, data pipelines, and system integration concepts Ability to manage multiple stakeholders and projects in fast-paced environments   Nice to have Background in FP&A, financial modeling, or business planning workflows Prior experience with Pigment or similar platforms Additional European language(s) outside of English     What success looks like Customers successfully deploy and adopt AI-powered planning workflows Innovative agentic AI solutions are built and scaled across use cases You are seen as a trusted technical partner by customers Strong feedback loops drive continuous product improvement Repeatable patterns emerge to scale AI deployments across Pigment customers     #LI-HYBRID #LI-LS1

Tripadvisor

About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.   About the role: As a Senior Manager of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains. You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact. What You’ll Do  * Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact. * Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives.  * Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented. * Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. * Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making. * Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. * Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. * Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. * Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.  * Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function. * Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale.  * Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline.   Skills & Experience  * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).  * Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.  * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).  * Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products.  * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.  * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.  * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.  * Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority.  * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.    You could be an especially great fit if you have: * Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation. * A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. * Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. * Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. * Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions. * A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join.       #LI-Hybrid #LI-SM1