Data Analyst Jobs in Ireland

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Middle Marketing Data Analyst

From $20/yr

Accountabilities: As a Middle Marketing Data Analyst, you will turn marketing data into practical recommendations, improve reporting capabilities, and support experimentation across the business. Your main responsibilities will include: Marketing data analysis: Analyze data from tracking systems and other sources to understand user behavior throughout the marketing funnel, from visits and clicks to registrations and deposits. Dashboard development and reporting: Build and maintain informative dashboards and reports that help business teams identify funnel issues, uncover performance trends, and discover optimization opportunities. Experimentation and optimization: Support business teams in planning, launching, and evaluating experiments designed to improve customer acquisition and retention. Data collection and pipeline improvement: Collaborate with data engineers and web analytics specialists to optimize the collection and processing of marketing data from multiple sources and improve data pipelines. Documentation: Maintain accurate, structured, and up-to-date documentation related to your analytical area. Cross-functional collaboration: Work closely with relevant stakeholders to translate analytical findings into actionable recommendations and support data-informed decision-making. Requirements: The ideal candidate has a solid foundation in data analytics, strong SQL skills, and the ability to communicate findings through effective visualizations. You should be comfortable working with marketing performance data, applying statistical methods, and collaborating with different teams. The key qualifications include: Professional experience: At least two years of experience in data analytics or related analytical fields. SQL proficiency: Confident use of SQL to retrieve, process, transform, and analyze data. Data visualization: Practical experience with Tableau and the ability to create clear, informative dashboards and visualizations. Statistical knowledge: Understanding of statistical fundamentals and practical experience applying statistical methods to A/B testing. Analytical mindset: Ability to investigate performance trends, identify issues, and translate data into meaningful business insights. Collaboration skills: Strong communication and teamwork skills, with the ability to work effectively alongside business stakeholders, data engineers, and web analytics specialists. iGaming experience: Familiarity with the iGaming industry is an advantage. Additional tools: Knowledge of Google Analytics, dbt, and Git fundamentals is beneficial. Tracking and affiliate systems: Experience working with tracking platforms and affiliate systems is a plus. Benefits: Fully remote work: Flexibility to work remotely or from available hubs in Kyiv and Warsaw, with a focus on comfort and safety. Paid time off: 20 working days of paid leave, in addition to public holidays and sick leave. Health and well-being: Medical insurance with access to leading clinics and coverage for psychological support through the Pleso platform. Flexible lifestyle benefits: A monthly Benefit Café allowance to spend on personal interests, hobbies, sports, and other preferences. Learning and development: An individual learning budget, corporate English classes, workshops, and access to an online library. Career progression: Structured career planning, performance reviews, training opportunities, and mentoring programs. Collaborative culture: Team-building activities, corporate events, and workshops that encourage connection and knowledge sharing. Modern technology environment: Opportunities to contribute to building technology solutions from the ground up and use automation to reduce routine work. Autonomy and openness: A culture that values initiative, direct communication, feedback, and freedom to improve existing processes. Full-time employment: A full-time role within an international, growth-oriented team. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

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Data Analyst – Revenue & Metrics (Ireland Based)

LaunchdarklyIreland

From $672/yr

<h4>About the Job:</h4> LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR) are consistently implemented, automated, and delivered across the organization. <h4>Responsibilities:</h4> Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. <h4>Qualifications:</h4> <ul class="ak-ul" data-local-id="2a6f5289-1ba1-42bc-b9e0-e025e63d8f19" data-indent-level="1"> <li> Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering </li> <li> Strong SQL skills and experience working with structured and large datasets </li> <li> Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) </li> <li> Experience building and maintaining data models and dashboards </li> <li> Experience implementing business logic into data transformations </li> <li> Strong attention to detail and ability to ensure data accuracy </li> <li> Ability to work with global teams across time zones </li> <li> Clear communication skills </li> </ul> <h4>About LaunchDarkly:</h4> Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.  The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: <ul> <li>Improving the velocity and stability of software releases, without the fear of end customer outages</li> <li>Delivering targeted experiences by easily personalizing features to customer cohorts</li> <li>Maximizing the business impact of every feature through the ability to experiment and optimize</li> <li>Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types</li> <li>Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability</li> </ul> At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at <a href="mailto:hr@launchdarkly.com">hr@launchdarkly.com</a>.  Do you need a disability accommodation? Fill out this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdYb7upYMtdRVXzvXGHGfQw0pU2FNma-6Rwp-I6NjKm7SYNw/viewform">accommodations request form</a> and someone from our People Operations team will contact you for assistance.  Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from <a href="https://launchdarkly.slack.com/team/UKEE4GBS6" target="blank">@LaunchDarkly</a>.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit <a href="https://launchdarkly.com/careers/" target="blank">Careers | LaunchDarkly</a>  directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to <a href="mailto:careers@launchdarkly.com" target="blank">careers@launchdarkly.com</a>.

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J

Finance Data Analyst

JobgetherIreland

Accountabilities: Map and document financial and corporate data sources, systems, ownership, definitions, and data flows to improve transparency and consistency. Identify data gaps, inconsistencies, duplication, and reconciliation issues across accounting, billing, CRM, HR, payroll, cash management, and expense-management systems. Define data requirements for monthly closing, budgeting, forecasting, and management reporting, ensuring key financial and operational metrics are clearly defined and consistently calculated. Explore, transform, and model data from data warehouses and connected business systems to create reliable, reusable, and well-documented datasets. Reconcile data across multiple sources and investigate discrepancies to improve the accuracy and reliability of financial and corporate reporting. Produce recurring financial analyses, dashboards, and reporting to support leadership decisions, including budget-versus-actuals analysis, variance analysis, cash monitoring, headcount planning, and SaaS performance analysis. Collaborate with data engineering teams and system owners to improve integrations, transformations, data accessibility, and quality checks. Automate recurring reporting, reconciliations, and analytical workflows where automation can deliver meaningful efficiency gains. Maintain documentation covering data lineage, metric definitions, business rules, assumptions, and known limitations. Contribute to data governance and quality monitoring, preparing reliable datasets for forecasting, anomaly detection, and future AI-driven use cases. Handle confidential financial, HR, and payroll information with discretion, accuracy, and a strong commitment to data protection. Requirements: At least 3 years of experience in data analysis, business intelligence, financial analytics, FP&A analytics, or a related analytical role. Strong analytical and problem-solving skills, with the ability to investigate data across multiple systems and identify the root causes of discrepancies. Good command of SQL and practical experience with at least one business intelligence or data visualization tool. Ability to translate business questions into clear data requirements, meaningful metrics, and actionable analyses. Solid understanding of financial concepts, including budgeting, forecasting, monthly closing, variance analysis, revenue, cash flow, costs, and unit economics. Advanced Excel or Google Sheets skills, including the ability to review, audit, and structure existing financial models. Strong documentation and communication skills, with the ability to collaborate effectively with both Finance and technical stakeholders. Professional fluency in English, both written and spoken, and the ability to communicate complex findings clearly. A rigorous, curious, and structured approach to data quality, with the confidence to challenge assumptions and make definitions explicit. Ability to work independently, prioritize competing requests, and deliver practical solutions in a changing business environment. Nice-to-have qualifications: Experience in a B2B SaaS, software, technology, or scale-up environment. Familiarity with SaaS revenue metrics, including MRR, ARR, NRR, churn, and bookings. Understanding of SaaS cost structures, including cloud storage, compute, data retention, AI-related expenses, and gross margin. Experience with finance, accounting, billing, CRM, HRIS, payroll, expense-management, or financial planning tools. Knowledge of data warehouses, data modeling, ETL processes, APIs, or data quality frameworks. Experience with Python or another programming language for analysis and automation. Previous exposure to sensitive HR or payroll data and an understanding of the confidentiality requirements involved. Candidates who meet most, but not necessarily all, of these requirements are encouraged to apply. A strong willingness to learn, analytical thinking, and the ability to demonstrate relevant skills are equally valued. Benefits: Full-time employment in a role with meaningful exposure to financial strategy and business performance. Opportunity to work in a technology-driven environment alongside Finance, Data Engineering, and other cross-functional teams. Scope to improve reporting processes, strengthen data quality, and contribute to automation and advanced analytics initiatives. Opportunities to develop expertise in financial analytics, business intelligence, data modeling, and SaaS performance metrics. A collaborative working environment that values clear communication, continuous improvement, and practical problem-solving. Potential exposure to future forecasting, anomaly detection, and AI-driven analytical projects. Salary, healthcare coverage, paid leave, flexibility, and other employment benefits to be confirmed with the hiring company. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

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Sustainability Data, Reporting & Automation Sr Data Analyst

OktaDublin, Ireland

From $39/yr

<div class="content-intro">Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.</div>Okta is looking for an experienced, self-motivated team player who will be a vital component for Okta’s sustainability (1) analytics and reporting, and (2) automation. This person will drive accurate and timely reporting and insights to meet the expectations of external stakeholders (customers, investors, and regulators) and internal stakeholders (executives, program leads, etc). This person will identify opportunities to automate data collection, analytics, reporting, and dashboards across various programs to streamline and simplify this work, and to enable our teams to scale to meet the moment and the growing stakeholder requirements. The role will drive impact as reporting is a customer business requirement, and data insights are foundational to building sustainability programs that drive business value and reduce environmental impacts.  The ideal candidate for this role has 4+ years of data analytics, visualization, reporting, and automation experience, as well as sustainability, GHG accounting and carbon analytics experience. We are looking for highly motivated team players who have strong analytical skills, excellent attention to detail, and the ability to work cross functionally, as well as independently. This is a great opportunity for candidates seeking experience within a dynamic Finance organization deeply embedded in the teams we support. Job Duties and Responsibilities <ul> <li>Manage reporting, including collect and clean data; maintain accuracy of Okta’s sustainability metrics; analyze, summarize and visualize for external reporting/disclosures -  annual <a href="https://www.okta.com/company/responsibility/emissions-inventory-results/">GHG Inventory</a> and public language, sustainability section of annual <a href="https://www.okta.com/content/dam/okta-www/en_us/company/responsibility/sustainability-responsible-technology/FY2026-sustainability-responsible-technology-fact-sheet.pdf">Fact Sheet</a>, CDP, and for internal dashboards and reporting, and supporting regulatory compliance.                                 . </li> <li>Prepare audit ready data sets and documentation; maintain traceable audit controls and trails; implement any feedback to strengthen internal controls and improve future assurance readiness; and manage third party assurance processes.</li> <li>Carbon analytics: Own the design and maintenance of models to track and analyze, forecast, and reduce greenhouse gas emissions and environmental impact. Support quantifying the value of this work in terms of cost savings from reducing energy consumption, revenue supported by meeting customer expectations, etc. </li> <li>Support key teams with related analytics and reporting, such as</li> <ul> <li>IR team with investor ESG questionnaires/surveys and data analysis and visualization for investor disclosures and presentations.</li> <li>Finance SEC Accounting, Legal, & Sustainability teams with sustainability data for SEC and other public disclosures. </li> <li>Finance to integrate and maintain sustainability metrics in T&E dashboard, and to conduct analysis and provide recommendations and visualizations for each team/org.</li> <li>Workplace team with building & utility sustainability data and analytics </li> <li>Finance, Technology, Data & Insights (TDI), and Sustainability teams to understand AI usage and environmental impacts, and identify opportunities to use AI more efficiently. Also partner with Engineering and Product teams to turn environmental data insights into actionable impact. </li> </ul> <li>Design, build, automate and maintain user-friendly dashboards, analytical tools, and reports to track metrics and performance indicators, and prepare slides and briefs, such as</li> <ul> <li>Quarterly sustainability metrics/dashboards for Okta’s Executive Committee (CFO, CLO, COO) and Board of Directors. </li> <li>Quarterly sustainability metrics in Okta for Good (O4G) dashboard and QBR to streamline and simplify quarterly internal reporting for the team.</li> <li>Quarterly vendor engagement on sustainability metrics to support Okta Climate Lead and Procurement to make progress on our science-based target for vendor engagement </li> </ul> <li>Identify and implement additional opportunities to automate, streamline and simplify. Build and “manage” “digital worker/agent(s)”.</li> <li>Identify and implement opportunities to integrate sustainability data into other reports, dashboards, and processes to inform decision-making. </li> <li>Assist with additional data requests, reporting, and automation - collection, cleaning, analysis, and visualization to incorporate into short and long-term planning, program design and evaluation, etc. As needed, prepare decks, reports, and briefs. </li> </ul> <ul> <li>Understand and apply the Sustainability Accounting Standards Board (SASB) and <a href="https://www.ifrs.org/groups/international-sustainability-standards-board/">International Sustainability Standards Board (ISSB) </a>reporting frameworks, as well as Task Force on Climate-Related Financial Disclosures (TCFD), CDP (Carbon Disclosure Project), etc.</li> <li>Stay abreast of sustainability reporting regulations and trends, including the ESG ratings and rankings ecosystem, reporting frameworks, sustainability reporting standards and disclosure legislation, and provide recommendations for how these developments should inform Okta’s non-financial reporting practices.</li> <li>Cross-collaborate effectively with partner organizations</li> <li>Leverage and improve current systems to increase productivity and accuracy </li> <li>Assist with and manage frequent ad hoc projects to support management and business decisions</li> </ul> What you can bring: <ul> <li>Sustainability and/or GHG accounting experience and/or regulatory reporting and third party assurance (required)</li> <li>Masters degree in sustainability and/or GHG accounting (preferred)</li> <li>4+ years experience data analytics, visualization, reporting, and automation </li> <li>AI literacy (required)</li> <li>Must demonstrate analytical prowess, strategic thinking and a command of the details</li> <li>Excellent modeling and analysis skills</li> <li>Experience with Tableau and Salesforce</li> <li>Advanced Excel and PowerPoint skills are required</li> <li>Experience with other software programs like Watershed (GHG inventory accounting software), Coupa, Netsuite, Workday (preferred)</li> <li>Ability to manage multiple tasks in a deadline-driven environment while maintaining a high level of precision</li> <li>Exceptional cross functional project management skills; ability to bring people together around a common goal and lead by influence. Highly skilled in building smart and efficient cross-functional processes</li> <li>Excellent verbal and written communication skills, experience presenting analyses to management</li> <li>Ability to work as a team player in a cooperative environment, as well as effective working independently with minimal supervision</li> <li>Adept at synthesizing complex inputs from multiple stakeholders</li> <li>Working knowledge of broadly recognized and emerging ESG reporting frameworks and standards, such as The GHG Protocol, SBTi, CDP, and TCFD (preferred)</li> <li>A desire to build</li> <li>Positive, can do attitude  </li> <li>A proactive and curious mindset with a strong desire to learn and experiment with new technologies, especially in the realm of AI.</li> </ul>   #LI-Hybrid #LI-JP3 <div class="content-pay-transparency"><div class="pay-input"><div class="description">Below

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L

Data Analyst – Revenue & Metrics

LaunchdarklyIreland

From $672/yr

<h4>About the Job:</h4> LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR) are consistently implemented, automated, and delivered across the organization. <h4>Responsibilities:</h4> Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR, churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. <h4>Qualifications:</h4> <ul class="ak-ul" data-local-id="2a6f5289-1ba1-42bc-b9e0-e025e63d8f19" data-indent-level="1"> <li> Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering </li> <li> Strong SQL skills and experience working with structured and large datasets </li> <li> Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) </li> <li> Experience building and maintaining data models and dashboards </li> <li> Experience implementing business logic into data transformations </li> <li> Strong attention to detail and ability to ensure data accuracy </li> <li> Ability to work with global teams across time zones </li> <li> Clear communication skills </li> </ul> <h4>About LaunchDarkly:</h4> Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.  The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: <ul> <li>Improving the velocity and stability of software releases, without the fear of end customer outages</li> <li>Delivering targeted experiences by easily personalizing features to customer cohorts</li> <li>Maximizing the business impact of every feature through the ability to experiment and optimize</li> <li>Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types</li> <li>Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability</li> </ul> At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at <a href="mailto:hr@launchdarkly.com">hr@launchdarkly.com</a>.  Do you need a disability accommodation? Fill out this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdYb7upYMtdRVXzvXGHGfQw0pU2FNma-6Rwp-I6NjKm7SYNw/viewform">accommodations request form</a> and someone from our People Operations team will contact you for assistance.  Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from <a href="https://launchdarkly.slack.com/team/UKEE4GBS6" target="blank">@LaunchDarkly</a>.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit <a href="https://launchdarkly.com/careers/" target="blank">Careers | LaunchDarkly</a>  directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to <a href="mailto:careers@launchdarkly.com" target="blank">careers@launchdarkly.com</a>.

1 month agovia ats pollingApply ›

J

Staff Data Analyst

JobgetherIreland

Accountabilities Own analytics across the customer-facing business, covering enterprise partners, self-service customers, API adoption, booking performance, and commercial outcomes. Partner closely with senior Product, Engineering, and commercial leaders to define analytical priorities, challenge assumptions, and translate business questions into data-driven decisions. Build, validate, and maintain reliable dbt models, data pipelines, and analytical products that consolidate fragmented data sources into consistent, trusted reporting. Establish standardized metrics and reporting frameworks to resolve discrepancies between dashboards and provide a reliable view of product and business performance. Analyze customer journeys, API usage, and booking behavior to identify friction points, uncover conversion opportunities, and improve customer activation and retention. Develop product analytics capabilities and introduce experimentation frameworks, including hypothesis development, experiment design, and performance measurement. Investigate complex marketplace data across multiple products, systems, and fragmented hotel supply networks to uncover trends, operational challenges, and growth opportunities. Take analytical initiatives from initial discovery and solution design through implementation, validation, and adoption, ensuring that data products deliver measurable business value. Use AI coding agents and automation tools to accelerate development and analysis while maintaining data quality, reliability, and technical standards. Operate independently in an evolving environment, prioritizing high-impact opportunities, defining solutions with limited specifications, and delivering results with minimal oversight. Help shape analytics practices, data standards, and ways of working as the wider data organization continues to develop. Requirements Extensive experience in data analytics, analytics engineering, or a closely related discipline, with a track record of independently owning complex analytical initiatives. Proven experience working closely with senior Product, Engineering, or business leaders, influencing decisions through clear insights and a strong understanding of commercial priorities. Strong hands-on expertise in analytics engineering, including designing, developing, and validating dbt models, data pipelines, and end-to-end analytical solutions. Demonstrated ability to transform fragmented or complex datasets into reliable, well-structured data products that stakeholders can confidently use. Strong understanding of product analytics, customer behavior, conversion funnels, API adoption, and the relationship between product performance and business outcomes. Experience working in startups or scaleups, with the ability to navigate ambiguity, adapt to changing priorities, and deliver meaningful results in environments with limited structure. Practical experience using AI coding agents or AI-powered development tools to improve productivity, automate workflows, and accelerate implementation without compromising quality. Strong analytical thinking and problem-solving skills, with the ability to investigate complex questions, identify root causes, and turn findings into actionable recommendations. Excellent communication and stakeholder management skills, including the ability to challenge assumptions constructively and explain technical concepts to non-technical audiences. A high degree of autonomy, ownership, and accountability, combined with the ability to connect individual analytical projects to broader business and product objectives. Nice to have: Experience with product analytics and experimentation, including designing experiments and evaluating their impact on customer adoption, conversion, and growth. Background in marketplace businesses, platform companies, travel technology, or other complex, multi-sided digital ecosystems. Experience consolidating data across multiple products, systems, and customer segments to establish consistent performance metrics. Familiarity with AI-driven product development and modern data workflows. Benefits Remote and hybrid flexibility: Work remotely within the EU or choose a hybrid arrangement in Barcelona, Palma de Mallorca, Dublin, or London. High ownership and autonomy: Take responsibility for a major analytics function and directly influence strategic product and business decisions. Meaningful business impact: Build foundational analytics capabilities and see your work inform real decisions, product improvements, and commercial growth. Fast-paced working environment: Benefit from streamlined processes, limited bureaucracy, and the ability to move quickly from ideas to implementation. International collaboration: Work with distributed teams and senior stakeholders across multiple countries and functions. Professional growth: Help establish analytics practices and contribute to the evolution of a growing data organization. AI-driven innovation: Use modern AI tools and technologies to accelerate analytical development and improve operational efficiency. Major market opportunity: Contribute to technology that addresses complex challenges across the global travel and B2B hotel ecosystem. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

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