• Assist in planning, building, testing, and scheduling quarterly outbound campaigns • Segment contacts and build audience lists for campaigns • Identify growth opportunities in HubSpot to increase lead engagement and conversion • Maintain overall HubSpot database hygiene in real-time • Prepare and update dashboards and reports for growth partners to report on prospect activity and progress (sales, BD, leadership, partner sellers) • Generate weekly sales and marketing performance reports (pipeline health, campaign activity) • Monitor SLA adherence (response times, task completion, follow-ups) • Build and maintain ICP-aligned prospect lists • Regularly audit and deduplicate contact/account records and maintain data sync accuracy across platforms • Utilize ZoomInfo to clean, enrich, and segment prospect data into precise audience lists for targeted marketing initiatives • Maintain shared documentation of workflows and processes • Manage recurring tasks with consistency and reliability through ClickUp • Assist with research projects, list building, and data cleanup

• Analyze and report on social media performance, campaign effectiveness, and social listening insights to help shape strategy and improve outcomes for clients. • Report to the Head of Analytics and work closely with account, content, and strategy teams to ensure campaigns are informed by clear, actionable data. • Partner with account managers, content creators, and strategy teams to support data-driven decision-making throughout campaign planning and execution. • Research emerging trends in social media, digital marketing, and audience behavior to inform client strategy. • Support reporting deliverables across channels by understanding data structure, tagging, measurement strategy, and reporting requirements. • Ensure reporting accuracy, consistency, and clarity across all analytics deliverables. • Gather, process, and interpret data from digital and social platforms, including Facebook, Instagram, LinkedIn, X/Twitter, and other relevant channels. • Develop regular and ad hoc reports that evaluate campaign performance against KPIs.

Role Description 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 are encouraged. You will play a crucial role in shaping the future success of the company. 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, 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. - 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. Qualifications - 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 decision-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. Benefits - 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.

• Act as an analytical partner to the Head of Marketing and Performance Marketing leads, challenging plans and shaping data-backed channel mix and budget decisions, including evaluation of customer acquisition cost, customer spending forecast, and finding an optimal mix of marketing channels; • Own the mobile attribution framework across paid and organic channels, including setup, maintenance and quality control in tools like AppsFlyer, Adjust, etc. • Design, run and analyse experiments to measure incrementality, including holdout tests, geo experiments and conversion lift studies, and translate results into clear, actionable recommendations. • Generate hypothesis, conduct research and A/B tests, and present your findings clearly and compellingly to highlight the importance of your insights • Measure the impact of offline and upper-funnel campaigns (OOH, TV, radio, etc.) on app installs, sign-ups, branded search and other performance metrics using appropriate analytical approaches. • Support and monitor existing performance marketing metrics, identify areas for improvement, and develop new metrics that inform decision-making across the organization. • Develop data visualizations and reports that are informative and easily understood by business and product teams. • Own the necessary data flows in collaboration with the Data Engineering team, from defining requirements to validating data quality.