Lead Data Analyst

Job Description:

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.

This career step requires senior level experience. Responsible for analyzing data in response to new business requests, performing maintenance and changes on interfaces, and identifying and resolving data discrepancies across multiple business applications.

Key Roles and Responsibilities:

• Works directly with the client user community and business analysts to define and document data requirements for data integration and business intelligence applications. Determines and documents data mapping rules for movement of medium to high complexity data between applications.
• Adheres to and promotes the use of data administration standards. Supports data selection, extraction, and cleansing for corporate applications, including data warehouse and data marts. Creates and sustains processes, tools, and on-going support structures and processes.
• Extracts and analyzes data from specific applications, systems and/or databases to create reports and provide recommendations based on the analysis of the data. Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function. Creates and populates meta-data into repositories. May create data models, including robust data definitions, which may be entity- relationship-attribute models, star, or dimensional models. May also create data flow diagrams and process models and integrates models across functional areas and platforms.
• Works closely with DBAs to transition logical models to physical implementation. May be responsible for employing data mining techniques to achieve data synchronization, redundancy elimination, source identification, data reconciliation, and problem root cause analysis. May also be responsible for quality control and auditing of databases, resolving data problems, and analyzing system changes for quality assurance.

1. Manage all aspects of marketing analytics projects, from initial stakeholder alignment, business case development, data collection, model development and validation, insights extraction, visualization.

2. presentations to stakeholders, and forward looking media planning.
3. Supervise internal data and modeling teams, media agency partners, external consultants and modeling partners.
4. Synthesize learnings from large datasets and advanced statistical models, develop applications, and deploy to non-technical stakeholders throughout the organization
5. Develop reports and key insights for advertising campaigns
Identify media and non-media drivers of KPI (sales, churn, brand) change
6. Be at the forefront of marketing analytics innovation, working with platforms, publishers, agencies, consultancies, and academia to develop and deploy best in class solutions

Job Contribution:

Senior level technical expertise. Deep technical knowledge and subject matter expert on ATT technologies.

Education:

Preferred Bachelors degree in Information Systems, Engineering, Math, or Sciences; Data Analytics nanodegree; or equivalent experience.

Experience:

Typically requires 5-8 years experience. Technical Career Pathway (TCP) role.

• 5+ years experience as a product/e-commerce data analyst is required.
• e-Ecommerce acquisitions &  digital product management experience is required.
• Experience with Quantum Metric is required.
• Experience with Tableau & PowerBI s required.
• Experience with snowflake is required - Must have SQL Knowledge and able to navigate snowflake.
• Experience with R/Python is a plus.
• Experience with Adobe Analytics Workspace and Workspace is required. Data Warehouse is a plus.
• Debugging experience leveraging Fiddler/Charles/Omnibug or equivalent is required. 
• Implementation experience (e.g. designing datalayer) is a plus.
• Knowledge of hosted service providers such as AWS, MS Azure is a plus.
• Excellent written/verbal communication/presentation skills.

Supervisory:

No.

Our Lead Data Analysis, earns between $118,800.00-$178,200.00 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.

 

AT&T is leading the way to the future – for customers, businesses and the industry. We're developing new technologies to make it easier for our customers to stay connected to their world. Together, we’ve built a premier integrated communications and entertainment company and an amazing place to work and grow. Team up with industry innovators every time you walk into work, creating the world you always imagined. Ready to #transformdigital with us?

Apply now!

#ConsumerTechnologyeXperience

Weekly Hours:

40

Time Type:

Regular

Location:

Plano, Texas

Salary Range:

$118,800.00 - $178,200.00

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.