Job Overview

Job Description:

Job Title: Lead Advanced Analytics

Location(s):

Bothell, Washington

Atlanta, Georgia

Dallas, Texas

Position Type: Full-Time, On-Site

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered

Applicants must be authorized to work in the United States on a full-time basis without the need for employer sponsorship now or in the future. AT&T will not hire any applicants for this role who require employer sponsorship now or in the future

Introduction:

At AT&T we’re redefining the future of connectivity. At our core is a passion to serve our customers with products and services that create connections, improve lives, and allow millions to share the stories and experiences that matter. Our Corporate teams are fueled by innovation and a desire to connect the world in meaningful ways. Join our team and bring your bold ideas, supporting and transforming our business across areas like marketing, finance and more.

Overall Purpose: The ecommerce advanced analytics team is looking for lead analysts to join our team to help deliver insights into ecommerce and the customer journey. This individual will support a critical product line by advising on A|B testing, conducting cohort analysis, customer segmentation, make predictions, machine learning, and solving a variety of business problems. The ideal candidate will be a entrepreneurial minded thought leader who can help identify opportunities across the site, across products, and across sales and marketing channels. In addition to analyzing data from multiple sources including data lakes, internal/external data sources, data warehouses, etc. This person will have the opportunity to use predictive modeling, statistics, NLP, trend analysis, and other analysis techniques. This role will partner with and advise teams across multiple functional areas and products to improve customer experience and thruput by solving a variety of business problems.

Key Roles and Responsibilities:

Advise business partners and leadership about patterns and relationships in data to recommend business direction or outcomes. Identify and size opportunities using the data.

Build MLMs (propensity, decision trees, forecasting models, etc.), test the models on results outside of the sample set, and validate the model using real world scenarios, help the company use the model in production. Examples of how to use this in production may include automation of A|B testing and personalization, predicting intent, improving search functionality, sales lead scoring, etc.

Wrangle, analyze, and interpret a wide variety of data, applying both standard and new techniques. Identify causal relationships, trigger points, next best action, and ultimately make predictions. (Palantir, Databricks, SnowPark, PySpark, Python, Azure, Snowflake, R, etc.)

Design and conduct A|B and multi variate tests. Use other forms of modeling to enable testing and think outside the box when traditional A|B testing is not available. Ultimately use output to determine benefit and measure lift. 

Support business cases. Defend data insights and recommendation to key decision makers and senior leadership. Develops reports, charts, tables, and other visual aids in support of findings.

Storytelling through presentations to key decision makers: develop data apps, data visualizations, dashboards, reports, write ups, and craft clear stories to support decision making. (Adobe, Tableau, Power BI, PowerPoint, Streamlit, Databricks, Plotly Dash,  etc…)

Education: Degree/certificate in a quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics OR equivalent experience.

Experience:

• 5 - 8 years analytical experience (preferably in ecommerce).
• Expert in PySpark, Python/R, Databricks / Snowpark, SQL, and Tableau/Power BI.
• Deep technical knowledge
• Subject matter expertise in ecommerce preferable
• Extensive and proven experience using analytical techniques, data visualization, and storytelling.
• Business acumen with ability to communicate insights and defend findings to senior leadership

Lead Advanced Analytics earn between 130,700.00 - 196,100.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups. And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions.

With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.

Ready to close the deal on a career with AT&T?

Apply today.

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It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.