1

Senior Insurance Data Analytics Jobs in Oregon (NOW HIRING)

... 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 ...

Senior Data Analyst (MedTech)

OR · On-site +1

$85K - $108K/yr

YipitData is the leading market research and analytics firm for the disruptive economy and most ... As Our Senior Data Analyst (MedTech), You Will: Team Leadership & Development * Manage a team of 3 ...

Senior Product Manager, AI & Data

OR · On-site +1

$126K - $166K/yr

As a Senior Product Manager you'll drive the success of data and AI solutions that connect client ... Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS ...

Revenue Analytics Associate

OR · On-site +1

$118K - $130K/yr

Prepare weekly, monthly, quarterly and annual reports for Senior leaders. * Collaborate with cross-functional teams to align business objectives with data analysis. * Perform other duties and ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... As a Sr. Data Engineer, your primary responsibility is to stay one step ahead of your fellow team ...

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 8:30 AM-5 PM Scheduled ... Act as a trusted advisor to senior leadership, translating organizational needs into actionable ...

... are data analytics. The Senior Actuarial Analyst works with a team of actuaries to assure a ... About WellSense WellSense Health Plan is a nonprofit health insurance company serving more than 740 ...

Senior Product Analyst San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab) Sony Interactive ... Convert business questions into data analytics tasks, conduct thorough analyses to segment and ...

Define the Business Analytics Engineering roadmap and communicate priorities and progress to senior leadership. * Champion data governance, lineage, and trust - ensuring business stakeholders always ...

$140K - $171K/yr

This position leverages account management, data analytics, and commercial knowledge to support and ... insurance and disability, flexible time off, annual Winter Holiday shut down, and at least 11 paid ...

Showing results 41-60

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:

Data Analyst

Weir

Portland, OR • On-site

Full-time

Re-posted 17 days ago


Key responsibilities

  • Engage with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes.

  • Define and describe data and analytics capabilities, creating epics, user stories, and other assets for technical implementation, ensuring solutions meet business goals.

  • Act as the primary interface between business stakeholders and technical teams, fostering communication and supporting the full product lifecycle using a scaled agile approach.


Job description

Data Analyst

Location- Ft Worth, TX
Work Arrangement- Hybrid

What we do at Weir
We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet's future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining.

Make your impact
You'll play a key role in solving real-world challenges. You'll apply your skills to deliver results that matter whether that's through engineering, planning or customer support. You'll work with purpose, learn every day and help shape a more sustainable future.

What you'll do

  • Business Engagement & Analysis:Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate these into clear business requirements and future state solutions.

  • Solution Definition & Delivery:Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet business goals and deliver measurable value.

  • Collaboration & Communication:Act as the key interface between business stakeholders (including director level and above) and technical teams, fostering strong relationships and clear communication. Champion data-driven decision-making and strategic thinking.

  • Agile Execution & Product Support:Participate in the full product lifecycle from ideation through deployment using a scaled agile approach. Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform catalog and contribute to continuous improvement.

  • Technology & Tools:Utilize and support tools such as Power BI (deep expertise preferred), Tableau, SAP (especially SAP HANA), and Microsoft technology stack. Understand ERP data flows and source-to-target mapping to enable effective analytics solutions.

  • Safety First:Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture.

What you'll bring

Must-haves:

  • Minimum 5 years of experience in business analysis, 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 translate business needs into technical requirements.

  • Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau.

  • Experience working with ERP systems, preferably SAP

Nice-to-haves:

  • Experience with data engineering concepts and tools, including data bricks and data fabric technologies.

  • Familiarity with scaled agile frameworks and product lifecycle management.

  • Background in consulting or roles requiring problem-solving using data to drive business outcomes.

  • Experience working in international and multicultural teams.

Why join Weir?
We live our values we think safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes.
We're passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies.
We believe your voice matters and your ideas make a difference. We're working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives.

Benefits

  • Competitive pay

  • Access to global inclusion networks

  • Regional and team-specific benefits

  • Sharebuilder scheme

  • Wellness support for you and your family

  • Collaboration with global teams


#minerals
#LI-EW1