Data and Insights Analyst

As an Analyst Data & Insights at TE, you will play a vital role in transforming complex data into actionable insights that drive measurable business growth for TE's Industrial BU. Your responsibilities will include: - Owning and managing analytics and insights for TE.com, product data, technical documentation, digital assets, and digital self-service tools to enhance customer experience, engagement, conversion, and business performance. - Analyzing customer behavior, search activity, product findability, engagement patterns, and end-to-end customer journeys to identify optimization opportunities. - Monitoring product data completeness, taxonomy, facets, master data quality, content readiness, and performance of technical documentation to ensure data integrity. - Designing, developing, automating, and maintaining KPI dashboards, scorecards, executive reports, and BI solutions to track website performance, customer engagement, and conversion rates. - Conducting A/B and multivariate testing, ad-hoc analysis, and performance reviews to improve digital experience and customer retention. - Integrating and analyzing data from various platforms to generate actionable business insights. - Developing centralized reporting and dashboards to monitor digital asset performance, content consistency, product visibility, and channel effectiveness. - Analyzing distributor and partner ecosystem data to measure product visibility, engagement, conversion, and content syndication. - Utilizing Voice of Customer (VOC), statistical analysis, predictive analytics, and AI-driven insights to identify customer needs and business opportunities. - Delivering compelling data storytelling, visualizations, and executive-level insights to support strategic decision-making and business growth. - Collaborating with cross-functional teams to define KPIs, align priorities, and deliver measurable business value through analytics. Qualifications required for this role: - University degree in Engineering, Business, Marketing, Analytics, Information Systems, Data Science, Statistics, or a related field. - 6+ years of experience in Data Analytics, Digital Analytics, Marketing Analytics, Business Intelligence, or related functions. - 4+ years of experience in customer journey analytics, digital engagement, website analytics, and conversion optimization. - Hands-on experience with various analytics tools and platforms such as Adobe Analytics, Google Analytics, SAP, Salesforce, etc. - Proven experience in A/B testing, multivariate testing, statistical analysis, predictive analytics, and AI-driven solutions. - Continuous improvement mindset with a passion for innovation and analytics-driven business transformation. About TE Connectivity: TE Connectivity plc (NYSE: TEL) is a global industrial technology leader focused on creating a safer, sustainable, and connected future through innovative connectivity and sensor solutions. With a diverse workforce of over 90,000 employees worldwide, TE Connectivity is committed to advancing next-generation technologies across various industries. TE Connectivity offers a competitive total package including a salary package, performance-based bonus plans, health and wellness incentives, employee stock purchase program, community outreach programs, and more. Please be aware of fraudulent recruitment activities, and only engage with TE Connectivity's official careers website for legitimate job openings. Your privacy and security are of utmost importance to us. As an Analyst Data & Insights at TE, you will play a vital role in transforming complex data into actionable insights that drive measurable business growth for TE's Industrial BU. Your responsibilities will include: - Owning and managing analytics and insights for TE.com, product data, technical documentation, digital assets, and digital self-service tools to enhance customer experience, engagement, conversion, and business performance. - Analyzing customer behavior, search activity, product findability, engagement patterns, and end-to-end customer journeys to identify optimization opportunities. - Monitoring product data completeness, taxonomy, facets, master data quality, content readiness, and performance of technical documentation to ensure data integrity. - Designing, developing, automating, and maintaining KPI dashboards, scorecards, executive reports, and BI solutions to track website performance, customer engagement, and conversion rates. - Conducting A/B and multivariate testing, ad-hoc analysis, and performance reviews to improve digital experience and customer retention. - Integrating and analyzing data from various platforms to generate actionable business insights. - Developing centralized reporting and dashboards to monitor digital asset performance, content consistency, product visibility, and channel effectiveness. - Analyzing distributor and partner ecosystem data to measure product visibility, engagement, conversion, and content syndication. -