Coverys Boston Office | Glassdoor

Coverys Boston, MA

3.4
StarStarStarStarStar

Employees rate Boston 21.4% higher than the overall average

Coverys Boston, MA Reviews

  • "Med Mal Underwriter"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Comp & Benefits
    • Senior Management
    Current Employee - Med Mal Underwriter in Boston, MA
    Current Employee - Med Mal Underwriter in Boston, MA
    Recommends
    Positive Outlook
    Approves of CEO

    I have been working at Coverys full-time (More than 10 years)

    Pros

    Excellent work/life benefits. Option to telework for most positions.

    Cons

    communication with staff and internal/external customers could be better

    Advice to Management

    none

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Coverys Boston, MA Jobs

Coverys Boston, MA Salaries

Salaries in $ (USD)
Average
Min
Max
$53,133 per year
$49k
$59k
$53,133 per year
$49k
$59k
$82,940 per year
$78k
$89k
About $43k - $52k
$43k
$52k
About $43k - $52k
$43k
$52k

Coverys Boston, MA Interviews

Experience

Experience
100%
0%
0%

Getting an Interview

Getting an Interview
100%

Difficulty

3.0
Average

Difficulty

Hard
Average
Easy
  1.  

    Data Quality Analyst Interview

    Anonymous Employee in Boston, MA
    Accepted Offer
    Positive Experience
    Average Interview

    Application

    I applied through a recruiter. The process took 4+ weeks. I interviewed at Coverys (Boston, MA) in January 2017.

    Interview

    Applied through recruiter. Had an initial phone screen that took about 15 minutes. I thought I bombed that but from what I was told the hiring manager is very efficient and knows what they are looking for. A couple weeks later I went in for an in person interview and had an excellent conversation with the director of data governance. She seemed to appreciate extra projects I took on in other roles as well as my natural curiosity about the business and the problems the role would encounter and how they were handled in the past.

    Interview Questions

    • How would you go about identifying bad data?   1 Answer
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