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Senior Insurance Data Analytics Jobs in Oregon (NOW HIRING)

Our client, a rapidly growing wealth management and financial services firm, is seeking a Senior Data Analyst to develop and deliver data analytics and reporting solutions that support strategic ...

Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ... Senior Data Scientist must have knowledge of and access to program datasets and broader information ...

This role reports to the Senior Director, Product. What You Will Own * Define and evolve the ... Full benefits including health care, paid time off, life insurance, and 401k plan with company ...

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 9 AM-5:30 PM Scheduled ... The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal ...

Sr Data Analyst

$70K - $105K/yr

... the insurance industry. • Ability to successfully work independently or with a team. • ... Bachelor's Degree in Analytics, Computer Science or a related field. * 2+ years of job-related ...

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

... the senior individual contributor on our Data Analytics team - a Level IV role on our analytics ladder, with no direct reports. You lead through expertise: setting the analytical bar, mentoring ...

Senior Data Analyst

OR · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical evidence studies with the mission of delivering personalized care to cancer patients. What you'll do:

Senior Data Analyst

OR · On-site +1

$80/hr

A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we're facing. You will ...

Senior Claims Data Analyst

Salem, OR · On-site

$93 - $110/hr

Mission-driven. Not-for-profit. These are just two reasons SAIF is not your typical insurance company. So, naturally, this is not your typical analyst position. As our new senior claims data analyst ...

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $130/hr

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various ... Design and implement features in collaboration with product owners, reporting analysts / data ...

As an experienced Clinical Data AMS Senior Consultant you will have the ability to share new ideas ... Recruiting for this role ends on 10/1/2026 Position Summary The Clinical Data Analytics (CDA) AMS ...

Inroads applies data, analytics, technology, research, and content development to co-create ... Premier health, dental, and vision insurance plans * 401K matching * Unlimited paid time off * Paid ...

$85K - $108K/yr

Senior Data Scientist must have knowledge of and access to program datasets and broader information ... Experience with Navy Data Analytics tools. * DoD/DoN procedures and Policies (DoD 5000 process)

... data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments. * Strong business-facing skills with confidence to engage senior stakeholders and ...

Showing results 21-40

Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

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

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

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

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

What cities in Oregon are hiring for Senior Insurance Data Analytics jobs?

Cities in Oregon with the most Senior Insurance Data Analytics job openings:

$90K - $114K/yr

Contractor

Re-posted 20 days ago


Job description


Job Duties:
• Develop and support data solutions in support of Supply Chain Planning reporting and analytics requirements
• Engage with product owner, technology lead, report developers, product analysts, and business partners to understand capability requirements and develop data solutions based on product backlog priorities
Requirements
Skills / Qualifications:
• 5+ years of experience with data engineering with emphasis on data analytics and reporting
• Experience developing with scripting languages such as Shell and Python
• Strong experience developing with PySpark, preferably leveraging AWS EMR managed service
• Expert experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata)- expert-level SQL abilities
• Experience with agile delivery methodologies- Scrum, SAFe, Extreme Programming
• Experience working with source-code management tools such as GitHub and Jenkins
• Ability to partner with business and technology team members, to understand business requirements and translate those into value-add technology solutions
Additional preferences are:
• Experience developing solutions in Snowflake
• Experience with workload automation tools such as Airflow, Autosys.
• Knowledge of building solutions with data visualization and reporting tools (Tableau, Cognos)
• Knowledge of Supply Chain Operations / Manufacturing business processes and objectives
Skill Set
Python, SQL, Data