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Assistant Insurance Data Analytics Jobs in Michigan

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Overview Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a ...

Data Analyst, Procurement

Livonia, MI · On-site

$49.50 - $77.66/hr

Responsibilities*** Assist members of the Procurement COE and Category Sourcing groups in analyzing data to support shared objectives* Collect, clean, validate, and analyze data from multiple sources ...

New

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Responsibilities * Assist members of the Procurement COE and Category Sourcing groups in analyzing data to support shared objectives * Collect, clean, validate, and analyze data from multiple sources ...

Data Analyst

Detroit, MI · On-site

$45/hr

... insurance industry experience is also valued. * Informatica experience is a plus. WHAT YOU WILL BE ... data quality. * Assist in the coaching and training of customers in the use of business ...

$72K - $141K/yr

Responsible for input of data that accurately reflects claim circumstances and other information ... CNA's internal and external business partners. * Advanced analytical and problem-solving skills ...

Posted today

Data/Financial Analyst

Saginaw, MI · On-site

$70 - $100/hr

Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Business Administration ... insurance; 401(k) plan; an award‑winning CPA certification program; community service ...

... advanced analytics and reporting. * Own end-to-end Guidewire data architecture, including ... Drive migration of legacy insurance data systems to CDA platform, overseeing data profiling ...

Data/Financial Analyst

Troy, MI · On-site

$70 - $110/hr

Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Business Administration ... insurance; 401(k) plan; an award‑winning CPA certification program; community service ...

MI · On-site

$112 - $209/hr

Define and govern end-to-end architecture for Data & Analytics solutions across cloud and hybrid ... BMO also offers health insurance, tuition reimbursement, accident and life insurance, and ...

New

... * Assist in the development and implementation of strategic initiatives to optimize financial ... Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Business Administration ...

Showing results 41-60

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 are the most commonly searched types of Insurance Data Analytics jobs in Michigan?

The most popular types of Insurance Data Analytics jobs in Michigan are:

What cities in Michigan are hiring for Assistant Insurance Data Analytics jobs?

Cities in Michigan with the most Assistant Insurance Data Analytics job openings:

$90 - $120/hr

Other

Re-posted 18 days ago


Job description

Overview

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

Responsibilities
  • Lead & develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
  • Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends, patterns, and key performance metrics.
  • Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
  • Lead and develop key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
  • Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
  • Maintain clear and organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts regarding best practices in field.
Qualifications
  • Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master’s degree is a plus.
  • A minimum of five years’ experience working as a Data Analyst, Marketing Analyst, or similar role.
  • Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL).
  • Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
  • Proficiency with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
  • Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
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