Back to jobs

Web Marketing Program - Digital Experience Data Analyst

Dallas, TX, United States

Live, first seen by us 57 days ago
Pay
Pay not listedSimilar roles state $95K–$144K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Analyze customer datasets to map journeys and measure digital experience programs

  • Help define requirements for web data collection, attribution, and storage

  • Build automated data tools such as visualizations and conversational analytics agents

  • Advise internal teams as an analytics strategist and explain opportunities to non-technical audiences

  • Champion data-driven decision making and report impact to marketing leaders

From the employer’s posting
Analyze 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.
Help define requirements for enhanced web data collection, attribution, storage, and platform integrations in partnership with data engineers, solution architects, etc.
Build automated data enablement tools to put data into the hands of decision makers (ex. Data visualizations, Conversational Analytics Agents, etc.)
Operate as an analytics strategist and consultant to internal teams by following industry trends and the latest technologies, and communicating opportunities to less technical audiences
Champion the importance of data-driven decision making throughout the company, advocating for others to build and strengthen this skillset

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science, Business Analytics, Statistics, Applied Mathematics, Artificial Intelligence, Management Information Systems, or a related field.

Preferred experience

  • Master’s degree in Computer Science, Business Analytics, or Marketing with an analytics focus
  • Ability to effectively engage both technical and non-technical audiences
  • Experience using website analytics tools (Google Analytics) and marketing technology platforms
  • Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Qualification wording
Bachelor’s degree in Computer Science, Business Analytics, Statistics, Applied Mathematics, Artificial Intelligence, Management Information Systems, or a related field.
Master’s degree in Computer Science, Business Analytics, or Marketing with an analytics focus
Ability to effectively engage both technical and non-technical audiences
Experience using website analytics tools (Google Analytics) and marketing technology platforms
Excellent communication skills, with the ability to present technical concepts to non-technical audiences.
Education & alternatives
Minimum Requirements: - Bachelor’s degree in Computer Science, Business Analytics, Statistics, Applied Mathematics, Artificial Intelligence, Management Information Systems, or a related field. - Minimum GPA of 3.0/4.0
Preferred Qualifications: - Master’s degree in Computer Science, Business Analytics, or Marketing with an analytics focus - Experience using website analytics tools (Google Analytics) and marketing technology platforms
Apply at Texas Instruments

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 9, 202657 days ago
Recorded sightings
229
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 57

Up longer than most. Similar jobs usually come down between day 5 and day 41.

Well past Texas Instruments’s usual: its jobs come down by about day 12.

From 10,963 similar postings that came down, and 13 of Texas Instruments’s. Coming down is not always a hire.

Texas Instruments is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • AWS
  • Azure
  • BigQuery
  • GCP
  • Redshift
  • Snowflake
  • pandas
  • SQL
Where the posting names them
- Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) and strong SQL - Strong experience with one or more statistical languages and data science packages (R/dplyr, Python/pandas, etc.) - Passion for challenging problems and all things data
- Internship experience in data analytics or a related role, preferably in a sales, marketing or e-commerce context. - Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services. - Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) and strong SQL
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services. - Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) and strong SQL - Strong experience with one or more statistical languages and data science packages (R/dplyr, Python/pandas, etc.)

Your next step

Complete your application on edbz.fa.us2.oraclecloud.com. The employer’s form will show what is required.

Applying through Oracle Recruiting

  • Applying starts by asking for your email address.
  • Each employer sets which files it accepts, so read the note beside the upload field.

Already applied? Track this application

About Texas Instruments

People
About 33,000 in 2025, down 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as TXN.
H-1B visas
54 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Change the world. Love your job.

As 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. 

Millions 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. 

You 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. 

Key Responsibilities:

  • Analyze 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. 
  • Help define requirements for enhanced web data collection, attribution, storage, and platform integrations in partnership with data engineers, solution architects, etc.
  • Build automated data enablement tools to put data into the hands of decision makers (ex. Data visualizations, Conversational Analytics Agents, etc.)
  • Operate as an analytics strategist and consultant to internal teams by following industry trends and the latest technologies, and communicating opportunities to less technical audiences
  • Collaborate with other digital experience analysts on best practices, driving our analytics strategy, and consulting other teams in marketing
  • Champion the importance of data-driven decision making throughout the company, advocating for others to build and strengthen this skillset
  • Clearly communicate and synchronize strategy, analyses, and technical accomplishments to stakeholders and marketing leaders 

Minimum Requirements:

  • Bachelor’s degree in Computer Science, Business Analytics, Statistics, Applied Mathematics, Artificial Intelligence, Management Information Systems, or a related field.
  • Minimum GPA of 3.0/4.0

    Preferred Qualifications:

  • Master’s degree in Computer Science, Business Analytics, or Marketing with an analytics focus
  • Experience using website analytics tools (Google Analytics) and marketing technology platforms 
  • Functional knowledge around building, training, and deploying predictive models for digital experiences
  • Functional knowledge of APIs, database design, ETL processes, and browser/server-based data collection principles
  • Internship experience in data analytics or a related role, preferably in a sales, marketing or e-commerce context.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
  • Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake) and strong SQL 
  • Strong experience with one or more statistical languages and data science packages (R/dplyr, Python/pandas, etc.)
  • Passion for challenging problems and all things data
  • Ability to effectively engage both technical and non-technical audiences
  • Knack for visual, data-oriented story telling
  • Logical, critical thinking and comfort with ambiguity
  • Proactive and positive attitude with strong collaboration skills and a team-focused mindset
  • Strong problem-solving skills and ability to translate complex analyses into actionable insights.
  • Excellent communication skills, with the ability to present technical concepts to non-technical audiences.

 

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Dallas, TX, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.