Senior Data Analyst - Content

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. THE OPPORTUNITY AI can draft a lesson in seconds. It can't tell you whether that lesson will actually land with a nervous career-switcher three weeks into a Data or AI apprenticeship — or whether the concept it just explained is subtly, but fundamentally, flawed. That's where you come in. You'll be the human judgement layer sitting on top of our AI-assisted content pipeline — part subject-matter expert, part instructional designer. You'll decide what AI got right, fix what it didn't, and build the parts no AI can: the high-touch, high-stakes, deeply human moments in a learner's journey that make the difference between content that's technically correct and content that actually changes someone's career. You'll have experience building content in Data Analytics and Data Science — not just someone who's read about it, but someone who can explain it, question it, and know when the AI-generated explanation of tricky subjects is actually going to help a learner or quietly confuse them.   WHAT YOU'LL ACTUALLY DO * Design outcomes, not just content. Apply end-to-end backward design to build Data programmes and content where success is measured by what learners can do on the job — not just what they can pass a test on. You'll own the hardest part: turning a job-aligned outcome into content that actually gets learners there. * Chase real-world impact, relentlessly. When a piece of learning isn't landing — when a Data Analyst cohort isn't showing the outcomes it should — you won't wait to be told. You'll spot it, own it, and scope the revisions that bring it up to the standard it needs to hit. * Build what AI can't. Design the custom, high-touch programmes and creative assets — branching narratives, bespoke multimedia, high-stakes onboarding moments — that need real human empathy, creativity, and nuance. If AI could have built it, it's not your job; if only a person could, it is. * Put AI to work, deliberately. Use AI tools and prompt engineering to accelerate your own content development and uncover learning design approaches nobody's tried yet. This isn't about using AI because it's there — it's about knowing exactly where it earns its place. * Advise up, not just build. Work directly with Programme Designers and senior stakeholders on the quality and pedagogical effectiveness of the content you design. Your feedback doesn't stay in the room — it shapes how our rules, principles and frameworks evolve. * Prototype for the long game. Lead new learning formats and modalities that don't exist yet — and know how to balance shipping fast against building something sustainable enough to reuse.   WHAT YOU'LL BRING * Real command of end-to-end ADDIE and backward design — you've built measurable, job-aligned outcomes and the assessments that prove learners hit them, not just theoretical frameworks on a CV. * A habit of treating "good enough" as a starting point, not a finish line — you notice when learning isn't driving real outcomes, and you take the initiative to fix it. * Genuine fluency with AI-powered tools and prompt engineering, used to accelerate content development and find genuinely new applications in Data learning design. * The ability to take a genuinely complex Data Science or Analytics concept and design a learning experience around it that actually works — for a range of different learner personas * The confidence and track record to influence peers and senior stakeholders toward a specific, measurable curriculum improvement — not just raise a concern and move on. * Resilience when things don't go to plan — you can point to a time a project hit a real obstacle (a blocker, a shifting SME, a launch that missed the mark) and describe exactly what you did about it, and what you learned. WHAT GETS YOU IN THE DOOR You'll need at least one of these: * Hands-on experience producing technical content for Data Analytics or Data Science. * 2+ years designing instructional content in a commercial environment or for commercial clients. * Plus one of: * A Data Science degree (or close cousin of one) * Completion of a technical apprenticeship in Data or AI * 2+ years working as a practitioner in Data or AI If you're a strong technical practitioner who's never formally studied instructional design, or a seasoned learning designer who's spent the last year deep in AI tools — either path can get you here. We're looking for the judgment, not a checklist.   WHAT WE'LL ACTUALLY EXPLORE TOGETHER We're upfront about what our process looks for, because we'd rather you come prepared to talk about the real thing than guess what we want to hear. Across the conversations, we'll dig into: * Advanced curriculum & applied design — how you turn an end-to-end backward-design process into measurable, job-aligned outcomes, and how you build creative assets that genuinely need a human touch. * Impact & excellence — what you do when a piece of learning isn't hitting its real-world mark, and how you weigh speed against building something built to last. * AI integration & innovation — where and how you've put AI tools and prompt engineering to work, and what that's actually unlocked. * Influence & stakeholder management — how you've moved a curriculum forward through a genuine disagreement or feedback conversation, not just delivered a good pitch. * Coachability & resilience — how you've handled a launch that didn't land, or a project blocker outside your control, and what you changed as a result. Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.

About Tripadvisor  The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. We are looking for a Senior Search Analyst to work on data-led analytical elements of our paid search program. You will be part of a dynamic and innovative team where autonomous decision-making, self-motivation and flexible thinking is encouraged. You will play a crucial role in shaping the future success of the company.    About the role  In this role you will join the Search Engine Marketing (SEM) bidding team, who own and manage the data-led systems that ensure we’re making the most out of our paid search advertising spend. Your contribution will have a direct impact on paid search bidding strategies, optimizing existing automated systems and using data to help identify new opportunities or problem areas in paid search marketing. You will work in collaboration with the wider SEM team, Data Science and Data Engineering teams to actively measure and manage the performance and optimization of our paid search program across UK & FIGS markets. Furthermore, you will help the team adopt AI. This means finding real-world applications for AI tools to make our systems run faster, improve the quality of our data analysis and uncover deeper analytical insights.   What You'll Do    * Produce original analyses to identify and explore opportunities to optimize our search engine marketing (SEM) bidding strategies towards maximizing revenue. * Seek out and implement improvements to our existing automated paid marketing systems. * Plan and execute measurement tests and experiments to evaluate the impact of different bidding strategies and apply findings to improve performance. * Apply analytical techniques to measure the true return of our SEM spend. * Collaborate closely with cross-functional teams such as Marketing and Data Science/Machine Learning to align on strategies, share insights, and ensure objectives are met. * Check on marketing performance daily and regularly report outward to the wider team and upward to the leadership team about trends, wins, and future plans. * Leverage AI tools and technologies for day-to-day tasks & systems to enhance efficiency, generate insights and streamline workflows. * Stay informed and proactively implement emerging ad technologies, best practices in media systems management and bidding optimization, process improvements and automation to enhance performance.   Skills & Experience   * Bachelor's degree in Business / Maths / Statistics or a related quantitative field. * 2+ years experience working in a data analytics position, preferably in a digital marketing environment. * Ability to turn complex data into compelling storytelling and actionable recommendations. * Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. * Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis and time series analysis. * Experience using AI tools in your day-to-day workflow, with a genuine eagerness to expand your knowledge and application of AI within SEM, data and bidding. * Excellent verbal and written communication skills to effectively present findings, explain complex concepts and influence stakeholder decisions making. * Ability to manage multiple projects, prioritize tasks and meet deadlines while maintaining a high level of accuracy and attention to detail. * Has a genuine passion for learning and self-improvement, continuously seeking out new opportunities to expand knowledge and skills. * Prior exposure to Paid Search, Bidding, and Marketing KPIs is a strong plus.    What We Offer  * Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses * “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team. * Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. * Donation matching. Give back? Give more! We match qualifying charitable donations annually. * Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. * Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. * Travel perks. We believe that travel is employee development, so we provide discounts and more. * Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. * Health benefits. We offer great coverage and competitive premiums. * Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us.  Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges.  We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements.   We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!     #LI-Remote #LI-SM1