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Jobs via eFinancialCareers

Assoc. Data Scientist - Marketing Analytics

Jobs via eFinancialCareers, Hartford, Connecticut, us, 06112


Assoc Data Scientist - GD08BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

In order to make an application, simply read through the following job description and make sure to attach relevant documents.The Hartford is a well-established brand with a 200+ years history, and its Personal Lines Insurance groups is the #4 Direct Personal Lines Insurer in the U.S. We continue to evolve our business model including increased use of advanced analysis for optimizing marketing investment. Data Scientist, Marketing Analytics will be responsible for using state-of-the art analytics to develop customer and market insights to optimize our marketing and distribution efforts.This position involves delivering analytical solutions that will influence approximately $100M in annual marketing spend including direct mail, television, and internet advertising. This position requires strong analytical and statistical experience as well as outstanding communication skills, both verbal and written, with the ability to clearly summarize and present insights.Responsibilities

Generate monthly marketing campaigns (Direct mail, Email, others) including maintenance and execution of production scriptsDevelop and maintain data assets and monitoring reports to support marketing program performance monitoring and program optimization decision makingAdhoc analyses to support both the marketing department and the overall Personal Lines businessPartner with Marketing Program Managers to inform planning decisions through data analysis, trending, and modeling activitiesMonitor and report test results. Enable adoption of appropriate tests in all channels and across the customer life cycle.Experience & SkillsWork experience:

2- 5 years' experience working in an analytical role including experience in Performance Analytics, Analytics Dashboards, Python and SQLExperience within the Financial Services sector, particularly consumer P&C insurance businessRequired Skills:

Analytical and problems-solving skills including the ability to apply quantitative analysis techniques to business and marketing problems.Proficiency in tools/systems including Python, SQL, Thoughtspot, Snowflake and AWSExperience with analytics dashboards such as Tableau and/or Power BIExcellent written and oral communication skills and ability to present technical results to non-technical audiencesStrong project management skills, capable of managing project timelines and deliverables autonomouslyNice to have:

Experience developing and using predictive statistical models in direct marketing environmentFamiliarity with machine learning techniques and algorithmsExperience with design and analysis of experiments (A/B tests)Education:

Bachelor's degree in related fields including Economics, Statistics, Business Analytics, Mathematics, Computer Science, Engineering, etc.Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$78,320 - $117,480Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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