{"id":2226697,"url":"https://alion.io/job/texas-instruments-web-marketing-program-digital-experience-data-analyst","title":"Web Marketing Program - Digital Experience Data Analyst","company":{"id":36400,"name":"Texas Instruments","domain":"ti.com","url":"https://alion.io/company/texas-instruments","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":99,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":153000,"period":"year","method":"role_country_seniority_unknown","sample_n":4292},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"BigQuery","optional":true},{"name":"dplyr","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Python","optional":true},{"name":"R","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-02T00:19:09Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-12T23:20:22Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Change the world. Love your job.\nAs a Digital Experience Data Analyst, you will be responsible for maximizing our understanding of our customers through the procurement, transformation, analysis, and automated enablement of vast TI data sets.\nMillions of unique visitors come to TI.com looking to research, design and purchase TI products. These visits, joined with firmographic and advertising data sets, generate billions of data points containing insights about intents, experiences, and business opportunities. In this role, you will utilize a variety of tools to unlock those insights, focused on providing a stellar digital experience and building a competitive marketing advantage for TI.\nYou will have the opportunity to collaborate and build strong working relationships across teams in IT, Digital Marketing, Sales, and third-party analytics/marketing technology vendors. If you enjoy solving complex problems, leveraging data to drive business strategy, and communicating impact, we’d love to hear from you.\nKey Responsibilities:\nAnalyze large customer datasets to understand customer journeys, proactively identify opportunities to improve our customers’ digital experiences, and measure the impact of different digital experience programs. \nHelp define requirements for enhanced web data collection, attribution, storage, and platform integrations in partnership with data engineers, solution architects, etc.\nBuild automated data enablement tools to put data into the hands of decision makers (ex. Data visualizations, Conversational Analytics Agents, etc.)\nOperate as an analytics strategist and consultant to internal teams by following industry trends and the latest technologies, and communicating opportunities to less technical audiences\nCollaborate with other digital experience analysts on best practices, driving our analytics strategy, and consulting other teams in marketing\nChampion the importance of data-driven decision making throughout the company, advocating for others to build and strengthen this skillset\nClearly communicate and synchronize strategy, analyses, and technical accomplishments to stakeholders and marketing leaders \n Minimum Requirements:\nBachelor’s degree in Computer Science, Business Analytics, Statistics, Applied Mathematics, Artificial Intelligence, Management Information Systems, or a related field.\nMinimum GPA of 3.0/4.0\nPreferred Qualifications:\n\nMaster’s degree in Computer Science, Business Analytics, or Marketing with an analytics focus\nExperience using website analytics tools (Google Analytics) and marketing technology platforms \nFunctional knowledge around building, training, and deploying predictive models for digital experiences\nFunctional knowledge of APIs, database design, ETL processes, and browser/server-based data collection principles\nInternship experience in data analytics or a related role, preferably in a sales, marketing or e-commerce context.\nFamiliarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.\nKnowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) and strong SQL \nStrong experience with one or more statistical languages and data science packages (R/dplyr, Python/pandas, etc.)\nPassion for challenging problems and all things data\nAbility to effectively engage both technical and non-technical audiences\nKnack for visual, data-oriented story telling\nLogical, critical thinking and comfort with ambiguity\nProactive and positive attitude with strong collaboration skills and a team-focused mindset\nStrong problem-solving skills and ability to translate complex analyses into actionable insights.\nExcellent communication skills, with the ability to present technical concepts to non-technical audiences.","description_format":"text","description_chars":3741,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-10T16:41:48Z"}],"visa":[],"liveness":{"score":48,"band":"ok","label":"Likely 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