Web Marketing Program - Digital Experience Data Analyst

Overview In this role you will translate vast TI data into actionable insights that improve digital experiences for millions of visitors. You’ll collaborate across IT, Digital Marketing, Sales, and analytics vendors to unlock growth opportunities and build data-driven marketing advantages. You will define data collection and integration requirements, and develop automated tools and visualizations that empower decision-makers. This position blends analytics strategy, storytelling, and cross-functional influence to shape TI’s digital experiences at scale. You will join a mission to leverage data to make electronics more accessible and valuable for customers. Compensation / Benefitscompetitive pay and benefitswell-being focuscountry-specific benefits informationopportunities for collaboration across teamscareer developmentdiverse, inclusive culture ResponsibilitiesAnalyze large customer datasets to map journeys, identify opportunities to improve digital experiences, and measure program impactDefine requirements for enhanced web data collection, attribution, storage, and platform integrations with data engineers and solution architectsBuild automated data enablement tools (e.g., visualizations, conversational analytics agents) for decision-makersAct as analytics strategist, keep up with industry trends, and communicate opportunities to non-technical audiencesCollaborate with other digital experience analysts to promote best practices, analytics strategy, and cross-team consultingAdvocate for data-driven decision making and help others develop this capability across the companyCommunicate and align strategy, analyses, and technical achievements to stakeholders and marketing leaders Key requirementsBachelor’s degree in Computer Science, Business Analytics, Statistics, Applied Mathematics, Artificial Intelligence, MIS, or related fieldInternship experience in data analytics, preferably in sales, marketing or e-commerceFamiliarity with cloud platforms (AWS, GCP, Azure) and data servicesKnowledge of data warehousing solutions (Redshift, BigQuery, Snowflake) and strong SQLExperience with statistical languages and data science packages (R, Python)Ability to engage both technical and non-technical audiences and tell data-driven storiesStrong problem-solving, critical thinking, and communication skillsProactive, collaborative, and team-oriented mindsetAbility to translate complex analyses into actionable insightscollaborationcommunicationstorytelling with dataAWSGCPAzure