Consultant, Advanced Analytics

Description

We’re looking for an experienced, stakeholder-focused analyst to join our USRM Fraud Hub Analytics team. In this high-visibility, high-impact role, you will be using data-driven insights to accelerate our fraud detection and prevention for the Internal Claims Fraud domain. This role is a great fit for someone who enjoys working directly with stakeholders, digging into complex claims data, and turning ambiguous requests into insights.

 

Fraud analytics is a high-opportunity space where strong analytical thinking, curiosity, and stakeholder focus can quickly translate into meaningful outcomes for the business. Internal Claims Fraud analytics is still young, which means you'll shape its direction by building the lead generation pipeline, expanding analytical capabilities, and partnering directly with stakeholders to deliver impactful insights and empower the Central Fraud Hub (CFH) to protect USRM’s bottom line.

 

What you’ll do     

• Directly support our Internal Claims Fraud Investigation stakeholders by leveraging claims data to identify suspicious patterns, anomalies, and emerging fraud trends across lines of business.
• Build and iterate on datasets, queries, and reporting that support fraud investigations, case prioritization, and decision-making.
•  Leverage your data and analytics expertise to help create a roadmap that will help take Claims Fraud Analytics to the next maturity level.
• Drive continuous improvement by recommending data, process, or tooling enhancements that improve efficiency and investigative effectiveness.
• Document and operationalize your work by developing reusable queries, clear documentation, and repeatable approaches the growing team can scale.

Why you’ll love this role

• Your work will matter: Your analysis will directly support fraud investigations and help reduce losses.
• You’ll work in a dynamic, real-world data environment: Claims fraud problems are complex and varied—great for someone who loves to learn new things and solve new problems.
• You’ll be empowered to improve how we operate: If you see a better way to deliver insights or enable investigators, you’ll have space to make it happen.

What we’re looking for

 

Must-have

• Experience sourcing and working with claims data (e.g., PL auto and property, small commercial data).
• Strong stakeholder orientation: able to actively listen to and understand the stakeholder’s needs; understand the stakeholder’s end goal so you can deliver data and analyses that are usable and timely.
• Strong problem-solving skills, intellectual curiosity, and comfort working in ambiguous problem spaces.
• Proficiency in SQL or SAS: able to write and optimize queries for large datasets.

Nice-to-have

• Fraud analytics or investigative analytics experience.
• Experience creating/maintaining dashboards or reporting (Power BI).

What success looks like

• Be a trusted thought partner for our stakeholders. You think critically and holistically about the data/analysis that will best serve our stakeholders. 
• Our Internal Claims Fraud Investigator stakeholders receive clearer, faster insights that help them prioritize and progress fraud investigations.
• You deliver meaningful insights quickly and help drive measurable outcomes (e.g., improved detection, reduced losses, smoother stakeholder experience).
• You develop efficient and reusable queries, clear documentation, and repeatable approaches that the entire team can leverage.

Qualifications

• Bachelor's Degree plus a minimum 5 years, typically 7 or more years, of related experience required; Mathematics, Economics, Statistics or other quantitative field are preferred fields of study.
• Master's Degree preferred; advanced education may be substituted for years of experience (Ph.D. with no professional experience).
• Deep knowledge of data sources, tools and business drivers.
• Ability to apply advanced analytical concepts to improve business outcomes.
• Ability to build analytic tools that will be used by business teams to analyze results and opportunities.
• Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem).
• Must have good planning, analytical, decision-making and communication skills.
• Ability to present data, visually and verbally, to guide conversations with business managers.

 

Employees may apply for a new role after completing 12 months of employment in their current position.

 

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines.  For country-specific details, please consult your local recruiting / HR team.

Travel

10%