Enterprise Risk Data Analyst

Compensation Grade:‏‏‎ ‎32

Job Description

SAIF has been in the insurance industry for more than 100 years, so we’re not afraid when it comes to risk. While we proactively manage risk at all levels of the organization, we also know that sometimes it presents opportunities – to reassess processes, build stronger structures, and lean into our data in new ways.

As our enterprise risk data analyst, you will lead SAIF to new ways of thinking about risk, data sources, technologies, and capabilities. You will help lead the expansion of our risk appetite and develop and maintain a culture that weaves risk management practices into every area of the organization. You will also conduct complex data analyses and create functional management information to promote informed decision-making, resulting in SAIF’s long-term strategic, operational, and financial success.

If you’re an innovator, passionate about data and metrics, and see risk as an opportunity for positive change, we invite you to apply.

We will be hosting a career exploration meeting on Tuesday, June 10th for those who want to learn more about the role. Please register here.

Note: Flexible workers may be required to travel to SAIF’s offices in Salem on a as needed basis.

Responsibilities

Data Analysis

• Source, compile, and interpret enterprise risk data. Perform analysis for risk trends, opportunities, and effectively communicate analysis output.
• Facilitate meetings with divisional leads to create a set of consistent internal key risk indicator (KRI) measures to help inform performance monitoring, comparatives, and provide management decision support and analytics.
• Identify, develop, and consider risk / return metrics to inform management discussions and decisions.
• Coordinate with functional teams across the organization including leads, business intelligence, and data governance to ensure data integrity, accuracy, and timeliness of risk data.
• Support risk assessments and monitoring efforts with tailored analytics, research, and input.
• Provide thought leadership and participate with projects that involve data flows and processes. Create simulation scenarios to test risk conditions in cross-functional environment as requested.
• Work closely with information technology staff to determine reporting needs, assist in the development and testing of reports for quality assurance, correct any deficiencies, and maximize utilization of available technology.

Reporting

• Lead the design, development, and enhancement of risk dashboards (current and emerging risk) and reports to monitor risk across the enterprise.
• Produce reports based on data analysis, emerging company trends, and risk factors. Convey patterns, problems, and areas of improvement. Enable insight into potential losses and mitigation of identified risks through reporting activities.
• Support executives and board reporting process to advise on current state of risk and emerging risks. Actively partner with risk domain leaders to identify, assess, respond to, report, and mitigate enterprise risks.
• Partner with strategy and operational teams to support planning, sensitivity analyses, and reporting requirements.
• Lead the design, implementation, and management of a robust reporting process for key performance indicator & key risk indicator metrics across all risk domains to perform assessments of current and historical data, trending analysis, and determination of impacts of risk directionality.

Program Support

• Support the ERM Program through the development and maintenance of the risk appetite, emerging risk and risk reporting programs.
• Support the development of and manage the risk appetite statement and risk appetite metrics annual review, and breach protocol processes.
• Operate in a key role within the ERM team, and work cross-functionally with leadership, risk owners, and other key stakeholders. Mentor and coach less experienced members of the team.
• Develop, implement, and ensure continuous improvement of procedures. Act as a resource to management and other key partners.
• Provide credible challenge to ensure the overall effectiveness of existing risk management programs, processes, communications, monitoring, and reporting that support risk-based initiatives across SAIF.
• Act in a project management capacity to plan, design, develop, and implement enhanced processes.
• Lead trainings, develop, and implement communication strategies for the ERM programs as needed.
• Foster a risk informed culture to support leadership decision making.
• Formally integrate ERM into strategic and business risk management and reporting processes.
• Help identify strategies to optimize performance within the risk appetite and available capital.
• Provide credible challenge to ensure the overall effectiveness of existing risk management programs, processes, communications, monitoring, and reporting that support risk-based initiatives across SAIF.
• Explore diverse perspectives and consistently behave sensitively toward differences in cultural norms, expectations, and ways of communicating. Work effectively with others who have different perspectives, backgrounds, and/or work styles.

The following qualifications are recommended:

• Eight or more years data analysis experience, three plus years experience in Enterprise Risk Management and familiarity with COSO, ISO, or other ERM frameworks.
• Experience pulling and using large and complex data, familiarity with data lake systems, and experience working and analyzing data in a data lake environment.
• Experience with data visualization software tools and performing quantitative analysis.
• An insurance industry or finance background with experience using business intelligence or equivalent tools is preferred. Development experience in at least one scripting language (SQL, Python, or similar), experience with large and/or ambiguous data sets, experience with SAFe Agile, Human Centered Design, or other similar concepts/tools preferred.
• Data or Risk Management certification (eg. CISA, CERP, RIMS-CRMP) and/or certifications, experience/training related to industry data governance preferred.
• A bachelor’s degree in business, economics, computer science, data science, or data analytics, statistics, or other related field.
• Other combinations of skills and experience.

Next step

To receive consideration, please submit your resume with a cover letter by the close of this recruitment. We want your submission to count, so be sure it’s complete. 
 

This recruitment will close on Monday, June 16, 2025.

If a sufficient number of qualified applications are received this recruitment may close early.

Compensation & Benefits

SAIF provides a wide range of benefits to employees who work at least 20 hours per week, including health care, retirement savings plans, paid time off, and more. For additional information about SAIF's total rewards, visit our website at: Total rewards (saif.com)

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, seasonal, or temporary employment.

Veterans

We provide preference to qualifying and disabled veterans. For more information please visit saif.com/veterans.

About us

Since 1914, SAIF has been taking care of injured workers, helping people get back to work, and keeping rates low by focusing on workplace safety. Together with our partners, we strive to make Oregon the safest and healthiest place to work.

SAIF is an Equal Opportunity Employer that values diversity in its workplace.