The role is entry level. Bachelor or Master's degree and similar work or personal experience in one or more of following areas: data analytics (including data validation); data knowledge management; programming using R and Python; data visualization tools; data integration using extract, translate, and load (ETL) or extract, load, and translate (ELT); SQL and other query tools.
Relevant skills/experience include data mining, informatics, data science, programming, computational algorithms, information retrieval (i.e. organizing, structuring data), working with databases or data structures, machine learning, artificial intelligence, natural language processing, software engineering, stastics, quantitative or statistical methods and techniques, and/or systems design analysis. Insurance knowledge is a plus.
Key competencies include (in bullet points): (1) Development of Dashboards (2) Document research processes, analysis and results (3) Analyze data using appropriate tool set (4) Evaluate research for practical application (5) Validate, clean and process semi-structured and unstructured data (6) Analyze problems to determine solutions (7) Learn quickly and rapidly arrive at working solutions (8) Decide what procedures will be required to solve problems (9) Effectively communicate complex technical information to non-technical audiences (10) Develop conceptual designs or models to address requirements (11) Identify new and existing products, technologies and/or architectures to solve design, development and operational problems (10) Review the nature and quality of cost data sources and evaluate their relevance to analyses; recommend action for improvement and use of sources to establish relationships with providers (12) Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data (13) Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting requirements associated with the collection, processing, storage and analytic capabilities and limitations of the organization.
Technology Associate -Data and Analytics Office (DAO). The ideal candidate will draw on his/her business and technical training and experience to address complex data needs by providing analytic insights, creating and executing technical solutions in support of our Data Quality initiative.
NOTE: AXA participates in the E-Verify program.
In addition to competitive compensation and an outstanding benefits package including 401 (k) and medical programs, we offer the opportunity for continued professional development in a congenial corporate environment.
AXA is committed to providing equal employment opportunities to our employees, applicants and candidates based on individual qualifications, without regard to race, color, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran status, genetic information or any other class protected by federal, state and local laws.
AXA is a leading financial protection company, committed to fostering and maintaining a diverse, multicultural and inclusive environment, and one of the nation’s premier providers of life insurance and annuity products. The organization was established in 1859 and we are committed now more than ever to helping clients meet financial goals in all stages of their lives. One of the hallmarks of our proud heritage is providing world-class customer service.
We're always looking for smart and talented people to help us develop new and innovative ways to expand our product portfolio, reach new customers and serve well the clients already a part of the AXA family.