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Assistant Insurance Data Analytics Jobs in Oklahoma

CSAA

Regulatory Reporting Analyst- Remote

Kansas, OK · Remote

Responsible for coordinating, analyzing, and submitting regulatory data requests from state insurance departments, the National Association of Insurance Commissioners (NAIC), and other regulatory ...

New

OU Health

Benchmark Analytics Manager

Oklahoma City, OK · On-site

Ensures business intelligence needs are met by collaborating with Data Analytics management and architecture teams to develop reports, train end users and assist with data base design * Develops ad ...

OU Health

Benchmark Analytics Manager

Oklahoma City, OK · On-site

Ensures business intelligence needs are met by collaborating with Data Analytics management and architecture teams to develop reports, train end users and assist with data base design * Develops ad ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Tulsa, OK · On-site

$80K - $110K/yr

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps ...

Stem Xpert

Data Architect

Tulsa, OK · On-site

$58.25 - $75/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... analytics and Big Data. Coordinates with Business Intelligence/Reporting teams to communicate ...

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All JobsInsurance Data Analytics JobsAssistant Insurance Data Analytics JobsAssistant Insurance Data Analytics Jobs in Oklahoma

Assistant Insurance Data Analytics information

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What does an assistant insurance data analytics do in insurance?

An assistant insurance data analyst supports data collection, cleaning, and analysis to help assess risk, determine pricing, and improve underwriting processes. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to interpret data insights for decision-making.
What are the most commonly searched types of Insurance Data Analytics jobs in Oklahoma? The most popular types of Insurance Data Analytics jobs in Oklahoma are:
Assistant Insurance Data Analytics jobs near you

Data Analyst III/II/I

Americanfidelity

Oklahoma City, OK

Full-time

Re-posted 22 days ago

Job description

* Plan, implement and execute data mining and predictive modeling related projects to which they are assigned to deliver intended business value propositions, on time and within scope according to agreed upon priorities. The Data Analyst is accountable for working collaboratively with Data Navigators and for the successful delivery of all projects under their supervision.

* Assist the Research & Development team, Executive Management, and AFA through the production and maintenance of data and metrics regarding demographics, market trends, behavioral economics, and socioeconomic shifts.

* Drive business value through actionable insight and opportunity identification as facilitated through comprehensive exploratory, interactive, adaptive, and iterative data mining, machine learning, data science, clustering, artificial intelligence (AI), and predictive modeling related analysis which have generally high complexity and/or business risk.

Skills of Ideal Candidate:

1. Advanced knowledge of one or more differing statistical programming languages such as SAS, R or Stata.

2. Ability to develop structure and/or program databases specifically within an MS SQL environment, skilled in the utilization of Structured Query Language (SQL) for interacting with data sets. Understanding of data structures and ability to become proficient in mining data structures and lineage in support of data foot printing and inventory techniques.

3. Skilled in Robotic Process Automation tools such as UI Path and Artificial Intelligence tools like Data Robot

4. Skilled in MS Office Suite including MS Access, Excel, PowerPoint, Word and MS SharePoint.

5. Familiarity with the following disciplines

Natural Language Processing: Interaction between computers and humans

Machine Learning: using computers to improve as well as develop algorithms

Conceptual modeling: to be able to share and articulate conceptual approaches to solving business questions/problems

Statistical analysis and Predictive modeling

Hypothesis testing: design hypothesis, document control and test with appropriate modeling and experimentation

6. Ability to query databases and datasets and perform statistical analysis on enterprise-class database systems.

7. Exceptional presentation skills.

8. Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing.

9. Strong negotiation skills.

10.Strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.

11. Exceptional analytical thinking and problem solving skills.

12. Exceptional understanding of business and business strategy.

13.Strongplanning skills.

14. Exceptional organizational skill and ability to work autonomously.

15. Experience using data visualization tools such as QlikSense or Tableau

16. Innovative curiosity

17.Strongknowledge of Data Science

18.Ability to deal with ambiguity

Education Requirements:

Data Analyst III: Actuarial Designationscan substitute for PhD.AFA specific data experience will be considered in lieu of PhD oncase by casebasis

Data Analyst I/II: High school diploma or equivalent

#AFC

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