Web Marketing Program - Digital Experience Data Analyst
At a glance
Mid-level Marketing Operations role at Edbz. Dallas · full-time.
Pay not stated Marketing Operations salary
Growth Roles summary, based on the employer's posting.
What you'll do
- Examine customer data to map journeys, spot web experience improvements, and assess program results
- Set data requirements for collection, attribution, storage, and connections between platforms
- Create automated tools, visualizations, and analytics agents that help decision-makers use data
- Advise marketing teams on analytics strategy, emerging technology, and opportunities in the data
- Present analysis, strategy, and technical progress clearly to marketing leaders and other stakeholders
What you bring
- A bachelor’s degree in a listed quantitative, technical, business, or related discipline, plus at least a 3.0/4.0 GPA
- Experience with website analytics and marketing technology platforms, including Google Analytics
- Working knowledge of predictive modeling, APIs, databases, ETL, and browser or server data capture
- Strong SQL and experience with statistical programming tools such as R or Python
- Clear communication, analytical problem-solving, visual storytelling, and effective collaboration with technical and non-technical groups
Who this fits
You’ll fit this mid-level, full-time role if you enjoy complex data problems, ambiguous work, and turning analysis into business action. The job is based in Dallas and involves working with IT, digital marketing, sales, vendors, analysts, and marketing leaders. You’ll need to explain technical ideas clearly and help promote data-informed decisions across the company.
From the employer
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.
Not this one either?
Claude or ChatGPT reads the other 90,924 for you.
Get better matches →
