The Cincinnati Insurance Companies

Insurance

AnalyticsEngineer-IV

$60–100k Fairfield, Ohio, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Analytics Engineer - IV at The Cincinnati Insurance Companies. Skills: Data analytics. Support data analytics initiatives. Identify root causes data quality issues”

What You'll Achieve.

Deliver fast solutions; Deliver accurate solutions; Deliver customer-focused solutions

Industry & Context.

Insurance
Problems you'll solve

Identify root causes; Resolve root causes; Issue resolution

What They're Looking For.

Must Have

1 year experience data query languages, 1 year experience data visualization tools, 1 year experience data analysis, 1 year experience insurance practices, 1 year experience data management, Excellent communication skills, Interpersonal skills, Customer-focused approach, Ability to multitask, Ability to prioritize, Thrive in fast-paced environment

Nice to Have

Bachelor's degree equivalent experience, Associate in Insurance Data Analytics, Other analytics professional courses

What You'll Do.

Support data analytics initiatives

Identify root causes data quality issues

Resolve root causes data quality issues

Deliver fast solutions

Deliver accurate solutions

Deliver customer-focused solutions

Demonstrate proficiency querying datasets

Document requirements

Design data structures

Support data structure development

Complete service requests

Assist metadata change control

Participate data quality initiatives

Design data quality processes

Resolve data quality issues

Implement data cleansing procedures

Understand configuration dependencies

Understand relationships data analytics tools

Collaborate technical teams

Support system integration

Implement exception handling

Implement basic exception handling

How You'll Work.

Team & Collaboration

Collaborate with Sales business partners; Bridge between analysts; Bridge between technical teams; Bridge between business stakeholders; Collaborate with IT; Collaborate with PARM

Communication Scope

Customer-focused approach

Full Job Description

Make a difference with a career in insurance At The Cincinnati Insurance Companies, we put people first and apply the Golden Rule to our daily operations. To put this into action, we’re looking for extraordinary people to join our talented team. Our service-oriented, ethical, knowledgeable, caring associates are the heart of our vision to be the best company serving independent agents. We help protect families and businesses as they work to prevent or recover from a loss. Share your talents to help us reach for continued success as we bring value to the communities we serve and demonstrate that Actions Speak Louder in Person®. If you’re ready to build productive relationships, collaborate within a diverse team, embrace challenges, and develop your skills, then Cincinnati may be the place for you. We offer career opportunities where you can contribute and grow. Build your future with us Our Sales and Marketing department is currently seeking an individual for the sales analytics I - IV position. The analytics engineer leverages project management and data management expertise to support data analytics initiatives and collaborate with Sales business partners. They utilize a variety of technical languages and tools to develop data-driven solutions, while identifying and resolving root causes of data quality issues. Acting as a bridge between analysts, technical teams, and business stakeholders, the analytics engineer delivers fast, accurate, and customer-focused solutions. This position is based at our Headquarters in Fairfield, Ohio. The pay range for this position is $60,000 - $100,000 annually. The pay determination is based on the applicant’s education, experience, location, knowledge, skills, and abilities. Eligible associates may also receive an annual cash bonus and stock incentives based on company and individual performance. Be ready to : demonstrate proficiency in querying existing datasets using technical languages such as SAS and SQL document requirements a

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