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Principal-Advanced Analytics

El Segundo, California

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This position is typically
found in Big Data/CDO and/or customer focused organizations where analysis of
Big Data and/or data from multiple sources including internal/external data,
data lakes, data warehouses, etc. is critical to the success of the business.
Uses expert skills in the use of predictive modeling, statistics, trend analysis,
and other data analysis techniques to collect, explore, and identify the right
data to be analyzed from internal and external sources to explain or predict
behavior and or solve a variety of business problems, build business cases and
monetize products for sale.

Key Roles and Responsibilities:

  • Gathers, analyzes, and
    interprets a wide variety of data to identify causal relationships,
    trigger points and ultimately make predictions on customer behavior.
  • Projects may include churn
    analysis, customer behavior and segmentation, sales analysis, product
    level analysis (adoption, price elasticity modeling) and customer
    experience analysis.
  • 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 basic machine learning /
    AI techniques to build models that support decision making.
  • Develops reports, charts,
    tables, and other visual aids in support of findings.
  • Advises business partners with
    regards to patterns and relationships in data to recommend business
    direction or outcomes.

Job Contribution: Expert level
technical professional. Advisor on technical knowledge and ATT technologies.



Education: Preferred advanced
college degree in Statistics, Mathematics and or Computer Science or Ph.D. in
related fields; Data Analytics, Machine Learning, or Business Analyst
nano-degree; or related expertise.


Experience: Typically possesses
strong understanding of internal business segment or stakeholders and strong
presentation skills. Typically requires 8-10 years related experience in
advanced analytics, big data, relational database structures, research methods,
sampling techniques, and system testing.


Supervisory: No



Job ID 2004005 Date posted 02/11/2020

Associate Director Technology Development

Pros

Opportunity to work on cutting edge technologies.
Support for women in technical leadership roles.
Pride in diversity & inclusion with 12 Employee Resource Groups with 40k+ members.
Great benefits including 4+ weeks vacation, 6% salary match of 401k, paid maternity/paternity leave, financial support for adoption.
Flexibility to work from home or office in newly renovated collaboration zones.
Lots of opportunity to move around the company & work on new products.

Cons

Process heavy with lots of administrative overhead.

Current Employee - Associate Director Technology Development
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