As a Professional-Advanced Analytics career step requires intermediate level experience:
- This position analyzes data from multiple sources including data lakes, internal/external data, data warehouses, etc.
- Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the appropriate data to be analyzed to explain or predict behavior, solve a variety of business problems, and build business cases.
Key Roles and Responsibilities:
- Responsible for business case development, big data analytics modeling using tools (Ex: including but not limited to: Tableau, Palantir, Power BI, Databricks, AWS Azure, Synapse, H2O Driverless AI, etc.), and business process integration.
- Gathers, analyzes, and interprets a wide variety of data to identify causal relationships, trigger points and ultimately make predictions.
- Builds predictive models using data, tests the model on results outside of the sample size, and verifies the model in the real world.
- Quantifies significance of data variances, applies an array of statistical methods ranging from traditional to newly- developing within the Big Data space.
- Uses traditional modeling techniques to build models that support decision making.
- Develops reports, charts, tables, and other visual aids in support of findings.
- Advises business partners with regard to patterns and relationships in data to recommend business degree from an accredited University in a Quantitative field of study direction or outcomes.
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.
Qualifications:
Education: Preferred Masters such as Data Science, Math, Statistics, Engineering or Physics.
Experience: requires 3-5 years’ experience
Supervisory: No.
Our Professional-Advanced Analytics employee’s, earn between $106,100- $159,100. 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 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.