Senior Data Analyst | Data & Insights | Ai-Driven Analytics

About the role We are looking for aSenior Data Analystto join aData & Insights teamwithin aninternational transformation environment .In this role, you will play a key part in shaping howdata supports decision-makingacross the organisation, working at the intersection ofadvanced analytics ,business performance , and emergingAI capabilities .You will contribute tohigh-impact initiativesacrosscommercial performance ,operational analytics ,finance insights , and the evolution ofself-service analyticsanddata products .This is a highlybusiness-facing role , ideal for someone who enjoys translatingcomplex datasetsintoclear insights , building meaningfulKPIs , supportingsenior stakeholders , and exploring howAIcan improveproductivity ,insight generation , anddata discoverability .If you enjoy working withSQL ,Python ,Power BI , large datasets, business stakeholders, andAI-driven analytics tools , this could be a great fit.What you’ll doDeliver high-quality analytical insights to support strategic decision-making across commercial, operational, and finance domainsTranslate complex data into clear, structured, and actionable outputs for business and senior stakeholdersPrepare reports, dashboards, and performance analysis suitable for senior management and executive-level decision-makingWork closely with business stakeholders to understand needs, define relevant KPIs, and build performance frameworksAnalyse business performance metrics such as revenue, cost, operational efficiency, customer behaviour, and commercial performanceSupport and enhance existing reporting solutions, including Power BI dashboards and performance reportsContribute to the design and evolution of self-service analytics solutions and data productsCollaborate with Data Engineers and platform teams to ensure data quality, consistency, and usabilityWork with large datasets using SQL, Python, Power BI, and other analytical toolsIdentify trends, patterns, risks, and opportunities through data analysis and business contextExplore and experiment with AI-driven tools and approaches to improve insight generation, productivity, and data accessibilityHelp improve data adoption across the organisation by making insights clear, accessible, and actionableCommunicate complex analytical topics in a clear and structured way to both technical and non-technical audiencesWork in a fast-paced, transformation-driven environment with cross-functional teamsHave 6+ years of experience in Data Analytics, Business Intelligence, Data & Insights, or similar rolesHave strong experience working with large datasets and analytical toolsHave strong proficiency in SQLHave experience with Python for data analysis, automation, or analytical workflowsHave strong experience with Power BI or similar BI / data visualisation toolsProve ability to turn complex data into actionable business insightsHave experience building dashboards, reports, KPIs, and performance analysis for business usersHave good understanding of business performance metrics such as revenue, cost, operational KPIs, commercial performance, or finance metricsHave experience working with stakeholders at different levels, including senior business stakeholdersHave ability to communicate complex topics in a clear, structured, and business-oriented wayHave strong analytical thinking, problem-solving skills, and attention to detailHave curiosity and willingness to experiment with new technologies, especially AI-driven analytics toolsBe comfortable working in ambiguous, fast-moving, and transformation-driven environmentsHave experience preparing reporting for senior management, executive committees, or management committeesHave experience contributing to self-service analytics, data products, or reusable reporting frameworksHave exposure to AI tools and technologies such as Generative AI, analytics copilots, ML tools, ChatGPT, Copilot, Claude, or similarHave experience using AI tools to improve productivity, automate analysis, generate insights, or support data discoverabilityHave experience collaborating with Data Engineers, Analytics Engineers, or platform teamsHave experience with data quality, data governance, data modelling, or analytics engineering practicesHave experience with Tableau, Qlik, Looker, Databricks, Snowflake, BigQuery, Redshift, or similar toolsHave background in commercial analytics, operational analytics, finance analytics, pricing, revenue management, or performance trackingHybrid model - 2 days on site per weekBenefitsPeople first - diverse and inclusive culture in an international environment.Work on high-impact Data & Insights initiatives across business performance, operations, finance, and commercial domains.Help shape how data supports strategic decision-making across a large international organisation.Explore the evolution of AI-driven analytics, productivity tools, and data discoverability.Contribute to self-service analytics, data products, and scalable reporting practices.Work closely with business and senior stakeholders, turning complex data into meaningful insights.High team stability and collaborative culture.€** per year training budget and continuous learning opportunities.Private health insurance and benefits package.Flexible working hours and hybrid model.Wellhub - fitness, wellness, and mental health support.Football and paddle tennis teams sponsored by Capitole.Team buildings, global events, and strong tech communities.Information Security NoticeThe employee will have access to confidential information related to Capitole and the assigned project.Compliance with internal security and information protection policies is mandatory.#J-***-Ljbffr

Have 6+ years of experience in Data Analytics, Business Intelligence, Data & Insights, or similar roles Have strong experience working with large datasets and analytical tools Have strong proficiency in SQL Have experience with Python for data analysis, automation, or analytical workflows Have strong experience with Power BI or similar BI / data visualisation tools Prove ability to turn complex data into actionable business insights Have experience building dashboards, reports, KPIs, and performance analysis for business users Have good understanding of business performance metrics such as revenue, cost, operational KPIs, commercial performance, or finance metrics Have experience working with stakeholders at different levels, including senior business stakeholders Have ability to communicate complex topics in a clear, structured, and business-oriented way Have strong analytical thinking, problem-solving skills, and attention to detail Have curiosity and willingness to experiment with new technologies, especially AI-driven analytics tools Be comfortable working in ambiguous, fast-moving, and transformation-driven environments Have experience preparing reporting for senior management, executive committees, or management committees Have experience contributing to self-service analytics, data products, or reusable reporting frameworks Have exposure to AI tools and technologies such as Generative AI, analytics copilots, ML tools, ChatGPT, Copilot, Claude, or similar Have experience using AI tools to improve productivity, automate analysis, generate insights, or support data discoverability Have experience collaborating with Data Engineers, Analytics Engineers, or platform teams Have experience with data quality, data governance, data modelling, or analytics engineering practices Have experience with Tableau, Qlik, Looker, Databricks, Snowflake, BigQuery, Redshift, or similar tools Have background in commercial analytics, operational analytics, finance analytics, pricing, revenue management, or performance tracking Hybrid model - 2 days on site per week