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Associate In Insurance Data Analytics Jobs in Minnesota

Identify opportunities for AI-driven optimization in operations and decision-making * Develop ... Strong experience in enterprise data architecture and analytics platforms * Experience leading ...

Senior Data Analyst

Eden Prairie, MN · On-site

$101K - $111K/yr

Bachelor's degree in Data Analytics, Statistics, Information Systems, Computer Science, Business ... Medical/Hospitalization Medical/hospitalization insurance available per AST agreement District ...

SQL Data Analyst Location: Minneapolis, MN - Locals Duration: Contract to Hire Experience: 10+ ... in SQL (complex queries, joins, aggregations, window functions) · Experience with relational ...

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Associate In Insurance Data Analytics information

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

How much does a data analyst make at World insurance Associates?

A data analyst at World Insurance Associates typically earns between $55,000 and $75,000 annually, depending on experience and location. The role often requires proficiency in data analysis tools like Excel, SQL, or Tableau and may involve working with insurance data to support business decisions.

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

Is AI replacing data analysts?

For an Associate in Insurance Data Analytics, AI tools are increasingly used to automate routine data processing and analysis tasks, enhancing efficiency. However, AI does not replace the need for skilled analysts who interpret insights, make strategic decisions, and ensure data quality, making human expertise essential in the role.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they interpret data, create reports, and support decision-making processes. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and analytics techniques.

What does a data analyst do at an insurance company?

A data analyst in an insurance company collects, processes, and analyzes data related to policies, claims, and customer behavior to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection processes.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Minnesota? For Associate In Insurance Data Analytics jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Associate In Insurance Data Analytics jobs? Cities in Minnesota with the most Associate In Insurance Data Analytics job openings:
Senior Consultant, Data & Analytics

Senior Consultant, Data & Analytics

Pioneer Management Consulting

Minneapolis, MN • On-site

$110K - $165K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Grow with us. Lead with us.

At Pioneer, you'll work directly with executive teams, solving complex problems and shaping strategies that reset what's possible. Sometimes the work is headline-worthy. Sometimes it's foundational. But every project earns trust - and earns us the right to take on more. You'll get the kind of access, challenge, and growth found at big firms - while helping build a company that's scaling fast and guided by what we value.

If you're looking for meaning, momentum, and a seat at the table, you're in the right place.

As a Senior Consultant on the Data & Analytics team, you will work directly in client environments delivering hands-on analytics work while helping drive projects forward. You will own workstreams end-to-end, coordinate across client stakeholders and Pioneer team members, and occasionally serve as the day-to-day project lead on smaller engagements. The expectation is simple: take a project, run with it, and deliver. You will regularly engage with client business users and technical teams to translate problems into data-driven solutions - sleeves rolled up from day one. 

Responsibilities:

  • Align:Work with leaders to define success and prioritize business problems that will lead to high business impact when solved. 
  • Engage:Dig in with business leaders and data teams to uncover core problems, leading with curiosity and humility to unearth issues related to data and how analytics is used. 
  • Design:Lead clients through a human-centered design approach to problem solving, collaborating closely with combined client teams. 
  • Execute:Manage analytics programs/projects with a hyper focus on delivery excellence - we dive into data analytics projects "with our sleeves rolled up." 
  • Lead: Occasionally serve as the day-to-day project manager on smaller engagements or workstreams, keeping projects on track and stakeholders aligned while remaining a hands-on contributor. 
  • Sustain:Equip teams with an actionable plan for using data more effectively, resulting in deeper insights, data-informed decisions, and an elevated culture of applying analytics. 
  • Business Development: Own existing client relationships and establish new ones.  
  • Client Resolution: Proficient at recognizing and diagnosing client problems.  
  • Relationship Building: Proactively cultivate and expand your professional network. 

Requirements

  • 5+ years of professional experience working in data & analytics in a project management, engineering, or development role. 
  • 2+ years working as an internal or external consultant, or equivalent project-based work experience 
  • Proficiency in SQL (required), experience querying, transforming, and modeling data in a professional setting. Bonus points for: Azure Data Factory, Databricks, Power BI, PowerApps, PowerAutomate, Fabric, Python, or AI/ML tools (e.g., Azure AI Foundry, etc.) 
  • Familiarity with cloud data platforms (Microsoft Azure preferred) including storage and ETL concepts 
  • Ability to communicate complex ideas effectively (verbal and written) 
  • Ability to work both independently and in a collaborative team environment 
  • Comfort handling ambiguity and managing multiple assignments 
  • Ability to work effectively with people at all levels in an organization 
  • Client-facing experience; ability to build rapport and communicate effectively with business stakeholders 
  • Proven skills in the identification and resolution of client challenges 
  • Collaborative by nature; willing to engage across teams and client organizations   
  • Bachelor's degree preferred  

Location

Pioneer Minneapolis Office: 212 N 3rd Ave, Suite 327, Minneapolis, MN 55401 

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Benefits

Pioneer is proud to offer a comprehensive benefits package that includes meaningful time off and paid holidays, parental leave, 401(k) including employer match, tuition reimbursement, and a broad range of health and wellness benefits including medical, dental, vision, life, long and short-term disability, etc.  

The estimated salary range for this role is $110,000-165,000 annually. This range is unique to every candidate, and is based on skillset, years of experience, and breadth of knowledge. This may differ from location to location. Bonuses and other incentives are awarded at the Company's discretion and are based upon individual contributions and overall company performance.