Lead Advanced Analytics

AT&T•El Segundo, CA

5d•$150,107 - $196,100•Hybrid

About The Position

This role involves building and refining predictive models using traditional statistical methods and modern machine learning techniques. The position requires gathering, analyzing, and interpreting data from disparate sources. Responsibilities include developing big data analytics models using tools such as Tableau, Palantir, Power BI, and business process integration. The role also involves quantifying data variances, applying statistical methods within the big data space, and using traditional modeling techniques for trend analysis and statistical analysis to explain and predict behavior, build business cases, and provide insights and solutions. The Lead Advanced Analytics will leverage programming languages like Python for model development and SQL for database interactions, ensuring models are robust, scalable, and applicable. Engagement with complex datasets including ADLS, MySQL, Teradata, and Oracle is expected. The role also includes crafting comprehensive reports, charts, and visual aids to summarize findings and insights, consulting and recommending directions to business partners, and providing insights into patterns and relationships in data. Utilization of analytics software, computer programming, data movement tools, and statistics and actuarial modeling is required, along with completing business assessments and applying advanced knowledge of data architecture, data science, graphic visualization, and informatics and information sciences.

Requirements

Master’s degree, or foreign equivalent degree, in Computer Science, Data Science, or Business Analytics
Two (2) years of experience in building and refining predictive models using traditional statistical methods and modern machine learning techniques
Two (2) years of experience in developing big data analytics models using tools including Tableau, Palantir, Power BI, and business process integration
Two (2) years of experience in quantifying data variances and applying statistical methods within the big data space
Two (2) years of experience in leveraging programming languages including Python for model development and SQL for database interactions
Two (2) years of experience in ensuring models are robust, scalable, and applicable
Two (2) years of experience in engaging with complex datasets including ADLS, MySQL, Teradata, and Oracle
Two (2) years of experience in crafting comprehensive reports, charts, and visual aids to summarize findings and insights
Two (2) years of experience in utilizing analytics software, computer programming, data movement tools, and statistics and actuarial modeling

Responsibilities

Build and refine predictive models using traditional statistical methods and modern machine learning techniques.
Gather, analyze, and interpret data from disparate sources.
Develop big data analytics models using tools including Tableau, Palantir, Power BI, and business process integration.
Quantify data variances and apply statistical methods within the big data space.
Use traditional modeling techniques to build models with trend analysis and statistical analysis using data to explain and predict behavior, build business cases, and provide insights and solutions.
Leverage programming languages including Python for model development and SQL for database interactions.
Ensure models are robust, scalable, and applicable.
Engage with complex datasets including ADLS, MySQL, Teradata, and Oracle.
Craft comprehensive reports, charts, and visual aids to summarize findings and insights.
Consult and recommend directions to business partners and provide insights into patterns and relationships in data.
Utilize analytics software, computer programming, data movement tools, and statistics and actuarial modeling.
Complete business assessments.
Apply advanced knowledge of data architecture, data science, graphic visualization, and informatics and information sciences.

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