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Business Intelligence Analyst (Fully Remote or Hybrid)

MAPFRE
Remote
United States

 


 


 


Job Summary

 


Position can be in Fully Remote or Hybrid in Webster or Boston, MA or Columbus OH area. 


Candidates must be authorized to work in the US without requiring sponsorship. 


 


Produces financial and market intelligence data by querying repositories and generating periodic reports. Assists with identifying data patterns and trends in available information sources. Insurance experience strongly preferred. 


 


Knowledge, Skills and Abilities

Education: Bachelor's Degree or professional level of knowledge in a specialized field, or equivalent, related experience.

Experience: 2 - 4 years - or Associates Degree equivalent plus 4 - 6 years.

Knowledge: Complete understanding and knowledge of industry practices, standards, and concepts within field of work. Applies them to perform or lead work requiring extensive analytical business skills.

Decision Making: Makes complex decisions interpreting company policy, for which there is no set procedure. Decisions influence success for projects of significant impact importance, client relationships, expenses and or ability to meet organizational objectives.

Supervision Received: Works independently under general supervision. Work is reviewed for overall adequacy in meeting objectives.

Leadership: May provide training and guidance to less experienced staff.

Problem Solving /Operations/Direct Work Involvement: Applies knowledge to determine solutions to complex problems with minimal direction. Uses research and analysis to develop innovative and practical solutions which are consistent with organizational objectives.

Client Contacts: Contacts other departments and or external organizations or parties frequently. Contacts are primarily at or below upper management levels. Represents organization on specific projects. Communication may involve persuasion, and negotiation.


 


Additional Knowledge, Skills and Abilities

Basic Qualifications:

- Degree in Economics, Finance, Engineering, Mathematics, Science, Information Technology, Computer Science, Business Administration or a related quantitative analytical field.


- Experience in working with comparative rater applications and understanding of relational application practices

- Strong ability to analyze user requirements and build front-end BI applications according to specifications.

- Understanding of relational database structures, theories, principles, and practices.

- Excellent interpersonal, communication, organizational, and problem-solving skills.

- Ability to coordinate concurrent projects.

- Ability to prioritize and execute tasks in a high-pressure environment.

- Programming skills in SQL, SAS, VBA, EXCEL, ACCESS.

- Proficient in merge/purge, query, and reporting in SAS, DBMS (e.g. Oracle, DB2, ACCESS), and other systems.

- Proficient quantitative and qualitative analysis skills.



Preferred Qualifications:

- Experience in insurance, banking, credit card or other financial industries, or comparable consulting experience.


- Experience working within multiple platforms on various databases, i.e. VCGI04, AS400, Diamond, TronWeb.

- Strong analytical, communication, and time management skills required.

- SQL Server, Teradata, UNIX, LINUX, MVS, R, Congos

- C, C++, JAVA, or other programming languages

- Database design


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At MAPFRE, the safety of our employees matters. We have taken vital steps across all offices from the improvements to our air ventilation, the installation of touch-free devices, to embracing social distancing and requiring medical self-screening to ensure the safety of our employees. We embrace the ability to collaborate with peers in-office, while also offering a flexible work arrangement for many roles in our organization. 


 


If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.


 


We are proud to be an equal opportunity employer.