{"id":1048794,"url":"https://alion.io/job/clarios-global-knowledge-senior-data-analyst","title":"Global Knowledge Senior Data Analyst","company":{"id":6276,"name":"Clarios","domain":"clarios.com","url":"https://alion.io/company/clarios","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":50,"ghost_share":0,"stale_share":0.8,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Monterrey, 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Knowledge Data Senior Analyst\nGlobal Knowledge Base | Enterprise Customer Experience\nThe Role\nThe Global Knowledge Data Senior Analyst plays a critical role in transforming Clarios’ Global Knowledge Base (GKB) from a traditional content and data repository into a globally connected, AI-enabled, and insight-driven enterprise capability.\nWorking closely with the Global Knowledge Sr. Manager, this role prepares, structures, analyzes, and translates customer, product, market, operational, and knowledge data into actionable insights that improve customer experience, support regional growth, and enable new business opportunities.\nThe Senior Analyst serves as a key bridge between data and business stakeholders across Customer Experience, Commercial, Marketing, Product, IT/Digital, and regional teams, helping turn complex information into scalable data products, decision-support tools, benchmarks, and business recommendations.\nWhat You’ll Do (Impact Areas)\nData Analysis & Business Insights\nCollect, clean, validate, structure, and analyze data from multiple sources to ensure accuracy, usability, and analytical readiness.\nAnalyze large and diverse datasets to identify trends, patterns, gaps, root causes, and business opportunities.\nTranslate complex data into actionable insights, business implications, and clear recommendations for technical and non-technical audiences.\nDevelop insight narratives and executive-ready summaries that support CX, commercial, product, and regional decision-making.\nReporting, Dashboards & Performance Analytics\nDevelop dashboards, reports, and analytical summaries that provide visibility into knowledge utilization, customer behavior, market needs, and platform performance.\nTrack KPIs related to knowledge management, data products, adoption, data quality, and insight effectiveness.\nMonitor performance and recommend opportunities to increase accuracy, relevance, usability, automation, and business impact.\nData Products & Value Creation\nProactively identify opportunities to transform data and insights into scalable business solutions.\nSupport the development of data products, decision-support tools, benchmarks, diagnostics, and insight solutions.\nPartner with business, Product, CX, Commercial, and regional teams to assess customer value, business value, feasibility, scalability, and monetization potential.\nHelp convert knowledge and data assets into solutions that create measurable customer, commercial, and operational value.\nGlobal Knowledge Base & Data Governance\nSupport the consolidation, maintenance, enrichment, and expansion of Global Knowledge Base data.\nHelp define and implement data standards, taxonomies, metadata structures, quality rules, and governance requirements.\nMonitor data quality and recommend improvements to data collection, modeling, and analytical processes.\nStrengthen consistency, accessibility, and usability of knowledge across regions and functions.\nAI, Automation & Advanced Analytics\nSupport the application of AI, automation, semantic search, content intelligence, recommendation logic, and predictive analytics across the Global Knowledge ecosystem.\nAssist with testing and validating AI-enabled knowledge solutions, analytical models, and automated insight capabilities.\nIdentify opportunities to use emerging technologies to improve knowledge discovery, relevance, and customer decision support.\nPartner with technology teams to continuously enhance the effectiveness of AI-enabled capabilities.\nBusiness & Technology Partnership\nPartner with IT/Digital and technology stakeholders to translate business needs into clear analytical, data, reporting, and platform requirements.\nCollaborate across CX, Commercial, Marketing, Product, and regional teams to understand business challenges and develop data-driven solutions.\nCommunicate insights, opportunities, risks, and recommendations in a clear and business-oriented manner.\nAct as a translator between technical teams and business stakeholders to ensure alignment on requirements and outcomes.\nTesting, Implementation & Continuous Improvement\nSupport data publication, testing, validation, and business acceptance activities for data updates, dashboards, tools, and data products.\nParticipate in System Integration Testing (SIT), User Acceptance Testing (UAT), and production readiness activities for Global Knowledge solutions.\nMonitor solution adoption, usability, performance, and data quality after implementation.\nRecommend and support continuous improvements that enhance speed, accuracy, scalability, and business value.\nWhat Success Looks Like\nGlobal Knowledge data is accurate, structured, governed, and ready for analysis and AI-enabled use cases.\nBusiness stakeholders receive clear, actionable insights that improve decision-making.\nDashboards and analytical solutions provide meaningful visibility into customer, product, market, and knowledge performance.\nData opportunities are successfully translated into scalable tools, products, and decision-support solutions.\nAI-enabled capabilities improve knowledge discovery, relevance, usability, and productivity.\nData quality and governance continuously improve across the Global Knowledge ecosystem.\nStrong partnerships are established between business and technology teams.\nKnowledge and data solutions demonstrate measurable impact on customer experience, operational effectiveness, and business growth.\nCore Competencies\nData analysis and analytical thinking.\nBusiness intelligence and data visualization.\nData storytelling and executive communication.\nBusiness requirements gathering and translation.\nProblem-solving and root cause analysis.\nData quality and governance.\nAI and digital technology awareness.\nCustomer-centric thinking.\nCross-functional collaboration.\nStakeholder management and influence.\nBusiness and commercial acumen.\nContinuous improvement mindset.\nProject coordination and execution.\nAbility to navigate ambiguity and complexity.\nWhat You Bring (Qualifications)\nRequired\nBachelor’s degree preferred in Data Analytics, Business Analytics, Information Systems, Computer Science, Engineering, Digital Strategy, Business, or a related field.\nMinimum 5 years of professional experience in data analysis, business analysis, analytics, data management, digital platforms, or related functions.\nExperience collecting, cleaning, structuring, analyzing, and interpreting data from multiple sources.\nExperience translating business needs into technical, data, analytical, or reporting requirements.\nExperience working with both technical and business stakeholders in cross-functional, matrixed environments.\nStrong analytical and problem-solving skills with the ability to turn complex data into actionable business recommendations.\nStrong written and verbal communication skills, including the ability to communicate technical concepts and analytical findings to non-technical audiences.\nAbility to manage multiple priorities and projects within a fast-paced, global environment.\nHands-on experience with one or more data and analytics technologies such as SQL Server, Snowflake, BigQuery, Redshift, MongoDB, Alteryx, KNIME, Hadoop/Hive, Oracle, Power BI, Tableau, Python, or similar tools.\nPreferred\nExperience supporting data, analytics, Knowledge Management, Customer Experience, Business Intelligence, digital products, or related initiatives.\nExperience identifying business opportunities through data and translating them into dashboards, tools, product concepts, or decision-support solutions.\nExperience supporting small to medium-sized data projects from requirements gathering through implementation.\nExperience within Customer Experience, Commercial, Marketing, Product, or other customer-facing environments.\nExposure to AI-enabled analytics, semantic search, recommendation engines, content intelligence, automation, or predictive analytics.\nExperience working with external technology partners, data providers, vendors, or analytics consultants.\nAbility to develop compelling executive presentations, insight narratives, and business recommendations.\nInterest or experience in data monetization, benchmarking solutions, diagnostics, customer decision tools, and scalable knowledge-based products.\nWork Model & Travel\nWork Model: Hybrid, aligned with business and team requirements.\nScope: Global, supporting stakeholders and regional teams across the organization.\nTravel: Occasional domestic or international travel may be required based on project and stakeholder needs.\nKey Partnerships: Global Knowledge, Customer Experience, Commercial, Marketing, Product, IT/Digital, and regional teams.\nOur Commitment to You\nOpportunity to contribute to the transformation of a global, AI-enabled Knowledge Management capability.\nExposure to strategic initiatives across Customer Experience, AI, analytics, digital transformation, and data products.\nOpportunities to develop expertise in emerging technologies, advanced analytics, and knowledge-driven business solutions.\nCollaboration with global, cross-functional teams and senior business stakeholders.\nA culture focused on innovation, continuous improvement, collaboration, and measurable business impact.\nOpportunities for professional growth while helping turn enterprise data and knowledge into capabilities that improve customer experience and create long-term business value.\nAbout Clarios:\nClarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus - advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF).\nTo All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.\nEqual Employment Opportunity:\nClarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email .\nA Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. 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