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in New York, NY
Data Science Analyst - Customer Experience - Full-time / Part-time
•30 days ago
Hours | Full-time, Part-time |
---|---|
Location | New York, NY New York, New York |
About this job
POSITION SUMMARY
Participates in the development, validation and delivery of analyses, presentations, algorithms, statistical models and reporting tools. Solves moderately complex analytical problems.
Fundamental Components:
Analyzes the various aspects related to customer experience and produces insights and recommendations for improvement based on findings
Compiles, interprets and validates complex data sets as part of large analytical/modeling projects or to measure initiatives or campaigns
Produces accurate, insightful analyses in line with the business questions and recommends additional analyses
Analyzes the customer journey, including all touchpoints and interactions, and understands the bigger picture the data is telling
Works with business partners and other data scientists to interpret existing data sources and gain an understanding of their upstream business processes or customer impacts
Pulls raw data from disparate sources and responds quickly to ad hoc requests
Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Uses data visualization techniques to effectively communicate analytical results and support business decisions
Creates and evaluates the data needs of assigned projects and assures the integrity of the data
Explores existing data and recommends additional sources of data for improvements
Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.
BACKGROUND/EXPERIENCE desired:
3+ years of relevant analytical experience with a solid foundation in using a technical approach to solving business problems
Experience in customer experience, market research, marketing analytics, or health insurance required
Demonstrated ability to work with very large data sets from multiple data sources
Solid technical skills (R, Python, Hive) and strong Excel skills
Excellent communication skills and ability to contribute ideas and recommendations
Strong ability to understand the business context and work quickly in a face-paced environment
Proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Excellent PPT skills and ability to present information to various audiences and deliver accurate, high quality results on time
EDUCATION
The highest level of education desired for candidates in this position is a Bachelor's degree or equivalent experience.
ADDITIONAL JOB INFORMATION
Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come.
We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence.
Together we will empower people to live healthier lives.
Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities.
We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard.
Benefit eligibility may vary by position. Click here to review the benefits associated with this position.
Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.
Employment Type Regular Career Band Description Professional
Participates in the development, validation and delivery of analyses, presentations, algorithms, statistical models and reporting tools. Solves moderately complex analytical problems.
Fundamental Components:
Analyzes the various aspects related to customer experience and produces insights and recommendations for improvement based on findings
Compiles, interprets and validates complex data sets as part of large analytical/modeling projects or to measure initiatives or campaigns
Produces accurate, insightful analyses in line with the business questions and recommends additional analyses
Analyzes the customer journey, including all touchpoints and interactions, and understands the bigger picture the data is telling
Works with business partners and other data scientists to interpret existing data sources and gain an understanding of their upstream business processes or customer impacts
Pulls raw data from disparate sources and responds quickly to ad hoc requests
Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions
Uses data visualization techniques to effectively communicate analytical results and support business decisions
Creates and evaluates the data needs of assigned projects and assures the integrity of the data
Explores existing data and recommends additional sources of data for improvements
Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics.
BACKGROUND/EXPERIENCE desired:
3+ years of relevant analytical experience with a solid foundation in using a technical approach to solving business problems
Experience in customer experience, market research, marketing analytics, or health insurance required
Demonstrated ability to work with very large data sets from multiple data sources
Solid technical skills (R, Python, Hive) and strong Excel skills
Excellent communication skills and ability to contribute ideas and recommendations
Strong ability to understand the business context and work quickly in a face-paced environment
Proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Excellent PPT skills and ability to present information to various audiences and deliver accurate, high quality results on time
EDUCATION
The highest level of education desired for candidates in this position is a Bachelor's degree or equivalent experience.
ADDITIONAL JOB INFORMATION
Aetna is about more than just doing a job. This is our opportunity to re-shape healthcare for America and across the globe. We are developing solutions to improve the quality and affordability of healthcare. What we do will benefit generations to come.
We care about each other, our customers and our communities. We are inspired to make a difference, and we are committed to integrity and excellence.
Together we will empower people to live healthier lives.
Aetna is an equal opportunity & affirmative action employer. All qualified applicants will receive consideration for employment regardless of personal characteristics or status. We take affirmative action to recruit, select and develop women, people of color, veterans and individuals with disabilities.
We are a company built on excellence. We have a culture that values growth, achievement and diversity and a workplace where your voice can be heard.
Benefit eligibility may vary by position. Click here to review the benefits associated with this position.
Aetna takes our candidate's data privacy seriously. At no time will any Aetna recruiter or employee request any financial or personal information (Social Security Number, Credit card information for direct deposit, etc.) from you via e-mail. Any requests for information will be discussed prior and will be conducted through a secure website provided by the recruiter. Should you be asked for such information, please notify us immediately.
Employment Type Regular Career Band Description Professional