Depending on qualifications, the selected candidate may be considered for a higher level position.

Preferred candidates will have hands on experience working with the Hadoop platform, including: Hive, Pig, MapReduce, or open source machine learning libraries.

Position Objective
This position is responsible for developing and performing preliminary exploratory analysis on datasets associated with building advanced statistical models. Responsible for data acquisition, translation and validation from multiple sources. Responsible for manipulating, testing, delivering, and effectively communicating complex data sets to support research. Works with Enterprise Data Management(EDM) and I/S to secure data needs. Works with EDM regarding data governance efforts for the division.
Primary Accountabilities
Data Acquisition and Management (60%)
Establishes, maintains and enhances data acquisition and internal management processes. Researches industry trends and best practices on data management techniques.
Works with EDM to develop and coordinate the requirements definition for data and works with I/S to implement data acquisition solutions.
Works with Strategic Data & Analytics Staff to develop and manage requirements for data accessibility to aid in complex model development.
Translates and validates data from multiple sources to be used in model development.
Proactively identifies sources of information either internal or external to enhance the research efforts and develop and test new complex data structures.
Ensures data is implemented into analytic environment and data warehouse and is accessible for reporting, analysis, and model development.
Manipulates, validates, and tests data sets used to build models.
Works with EDM regarding data governance efforts for the division.
Data Analysis and Communication (40%)
Effectively communicates and delivers useable data sets to the Strategic Data & Analytics staff for modeling.
May assist in the formulation of model specifications and development.
Performs preliminary exploratory analysis on new datasets to help identify issues or patterns, as part of preparation for modeling.
Develops data visualization techniques and presents results to research staff or business partners to help highlight areas of interest.
Performs performance-related analysis following implementation of analytics applications to monitor results.


American Family Insurance


Job Competencies
Achieve Results
Be Accountable
Maximize Customer Experience
Planning & Organizing
Problem Solving
Quantitative Analysis
Technical Expertise
Specialized Knowledge and Skills Requirements
Demonstrated experience performing financial or performance analysis on business data.
Demonstrated experience using basic statistical concepts and calculations.
Demonstrated experience using and manipulating data in databases, spreadsheets, or other data query and analysis tools.
Solid knowledge and understanding of application software related to data gathering, interpretation, measurement, analysis, and presentation.

How to apply:

Please mention NLP People as a source when applying


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About American Family Insurance

For more than 85 years, American Family Insurance has built its reputation on sound principles. We strive to provide you industry-leading service, exceptional claims experience and products that build long-term relationships. This is accomplished by treating policyholders fairly in a helpful and caring way and making it easy and convenient to work with us. We know our customers like family.

American Family Insurance thrives by conducting its business in accordance with the highest ethical standards and the law at all times. Integrity is part of our culture and always has been. The reputation we enjoy and trust-based relationships we have built with our customers are determined by the example set by management and the character and good judgment exercised at all levels of our organization. It’s a way of doing business that our customers have come to expect from us and a standard that we continue to live up to.

1-800MYAMFAM (1-800-692-6326)