Experience:
No experience
Employment Type:
Full time
Posted:
5/17/2019
Job Category:
Information Services
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Analyst
Homesite Insurance | Boston, Massachusetts
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Job Description

Homesite Insurance was founded in 1997 and was one of the first companies to enable customers to purchase home insurance directly online, during a single visit. Since then, we've continued to innovate rapidly to meet the needs of our customers and their changing expectations.

One thing that's stayed the same since our founding: our commitment to our customers, partners and employees.

Join us on our journey as we continue to grow into a powerful contender in the field of insurance.

We are adding a new analyst position to our Partner Distribution team to support critical efforts to profitably grow one of our most important countrywide accounts. We are seeking talented, action-oriented individuals with exceptional mathematical and analytical skills, sound business intuition, and the desire to work in a fast-paced, collaborative environment to drive success of key initiatives. This is a critical role within our organization and we are seeking the most highly qualified candidates, regardless of industry experience. Recent graduates who have demonstrated superior academic performance in a quantitative discipline will be considered.

Requirements

* Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis. Insurance industry and Ecommerce experience preferred.
* Excellent analytical ability, with proficient knowledge of SQL, Tableau and Excel; hands on experience with Python, VBAs and R a plus.
* Experience combining data from multiple sources and analyzing large sets of data
* Analytical, creative, and innovative approach to solving problems
* Attention to detail and focus on accuracy and quality; commitment to deadlines and ability to balance competing priorities.
* Ability to effectively communicate analysis to wide variety of audiences; ability to tell compelling stories driven by underlying data analyses.
* Bachelor's degree in Computer Science, Mathematics, Statistics, Analytics, Economics, or other quantitative discipline field

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