JOB OPPORTUNITES

Sr. Data Analyst/Data Analyst-Remote-9405

Sr. Data Analyst/Data Analyst-Remote-9405

Published: March 8, 2022
Location
Columbus / Remote, OH / Any
Job Type
Job ID
9405
Yrs Exp(min)
3
Credentials
None
Salary (Mid)
$90,000
Bonus
Yes
Recruiter
Mark Nicklas
Recruiter Phone Number
800 543-2553 Ext. 104

Description

Insurer in the Midwest has a need for a Data Analyst or Sr. Data Analyst. The incumbent will be responsible for data management and reporting activities that track and support department goals and objectives. This role will identify and communicate insights and provide input to project teams and have the opportunity to work on various projects involving big data, traditional databases, unstructured data, curation, and reporting. May lead small projects. The ideal candidate will have a passion for learning and a knack for wrangling data. There will be interaction with other departments including sales, product management, finance, actuarial and modeling to provide data support.
Key Responsibilities: responsible for the business design and implementation effort for assigned data and methods to access the data; maintain the core data warehouse by understanding data and analytics needs of the area in which the position supports; run and build reports as necessary to support business unit; track and monitor business unit goals and profitability through use of data.
Prerequisites:
· Bachelor’s degree in a quantitative or information systems field, and/or equivalent experience.
· 3-5 years’ experience in data science, data mapping, integration, database design and analytical reporting required.
· Knowledge of statistical software required.
· Experience in the P&C Insurance industry preferred.
· Proven ability to work and communicate effectively on cross-functional, internal and external teams.
· Effectively communicate and translate data findings and interpretations.
· Strong business collaboration skills, responsiveness to service needs and operational demands required.
· Advanced SQL skills required. Interest in continuously learning data and analytical software is critical. Python/Pandas skills preferred. Experience with C#, Java, R, and/or SAS is a plus.
· Experience with data visualization techniques and user data access tools such as Power BI, Tableau, QuickSight, and/or Qlikview is a plus.

 

To apply please email: Mark Nicklas | 800 543-2553 Ext. 104
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