Global Knowledge Senior Data Analyst

Global Knowledge Data Senior AnalystGlobal Knowledge Base | Enterprise Customer ExperienceThe RoleThe 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.
Working 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.
The 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.
What You’ll Do (Impact Areas)Data Analysis & Business InsightsCollect, clean, validate, structure, and analyze data from multiple sources to ensure accuracy, usability, and analytical readiness.
Analyze large and diverse datasets to identify trends, patterns, gaps, root causes, and business opportunities.
Translate complex data into actionable insights, business implications, and clear recommendations for technical and non-technical audiences.
Develop insight narratives and executive-ready summaries that support CX, commercial, product, and regional decision-making.
Reporting, Dashboards & Performance AnalyticsDevelop dashboards, reports, and analytical summaries that provide visibility into knowledge utilization, customer behavior, market needs, and platform performance.
Track KPIs related to knowledge management, data products, adoption, data quality, and insight effectiveness.
Monitor performance and recommend opportunities to increase accuracy, relevance, usability, automation, and business impact.
Data Products & Value CreationProactively identify opportunities to transform data and insights into scalable business solutions.
Support the development of data products, decision-support tools, benchmarks, diagnostics, and insight solutions.
Partner with business, Product, CX, Commercial, and regional teams to assess customer value, business value, feasibility, scalability, and monetization potential.
Help convert knowledge and data assets into solutions that create measurable customer, commercial, and operational value.
Global Knowledge Base & Data GovernanceSupport the consolidation, maintenance, enrichment, and expansion of Global Knowledge Base data.
Help define and implement data standards, taxonomies, metadata structures, quality rules, and governance requirements.
Monitor data quality and recommend improvements to data collection, modeling, and analytical processes.
Strengthen consistency, accessibility, and usability of knowledge across regions and functions.
AI, Automation & Advanced AnalyticsSupport the application of AI, automation, semantic search, content intelligence, recommendation logic, and predictive analytics across the Global Knowledge ecosystem.
Assist with testing and validating AI-enabled knowledge solutions, analytical models, and automated insight capabilities.
Identify opportunities to use emerging technologies to improve knowledge discovery, relevance, and customer decision support.
Partner with technology teams to continuously enhance the effectiveness of AI-enabled capabilities.
Business & Technology PartnershipPartner with IT/Digital and technology stakeholders to translate business needs into clear analytical, data, reporting, and platform requirements.
Collaborate across CX, Commercial, Marketing, Product, and regional teams to understand business challenges and develop data-driven solutions.
Communicate insights, opportunities, risks, and recommendations in a clear and business-oriented manner.
Act as a translator between technical teams and business stakeholders to ensure alignment on requirements and outcomes.
Testing, Implementation & Continuous ImprovementSupport data publication, testing, validation, and business acceptance activities for data updates, dashboards, tools, and data products.
Participate in System Integration Testing (SIT), User Acceptance Testing (UAT), and production readiness activities for Global Knowledge solutions.
Monitor solution adoption, usability, performance, and data quality after implementation.
Recommend and support continuous improvements that enhance speed, accuracy, scalability, and business value.
What Success Looks LikeGlobal Knowledge data is accurate, structured, governed, and ready for analysis and AI-enabled use cases.
Business stakeholders receive clear, actionable insights that improve decision-making.
Dashboards and analytical solutions provide meaningful visibility into customer, product, market, and knowledge performance.
Data opportunities are successfully translated into scalable tools, products, and decision-support solutions.
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