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Allstate

Fraud Data & Analytics Lead Consultant - Remote

Posted 8 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in USA
90K-135K Annually
Mid level
Remote
Hiring Remotely in USA
90K-135K Annually
Mid level
Lead data analysis initiatives to identify and mitigate claim fraud risks, build automated reports, and collaborate with various departments to enhance fraud detection capabilities.
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At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

Job Description

This role works closely with the Special Investigations Unit and involves leveraging data analysis to identify, investigate, and mitigate claim fraud risks within the organization, while also supporting operational aspects by designing and operating reports and building an infrastructure to measure the effectiveness and loss cost containment of fraud mitigation tools, processes, and initiatives. Additionally, this role will be responsible for building automated self-service reports to track referrals, assignments, performance metrics, and outcomes of claim fraud. The ideal candidate will have extensive experience in data analysis, strong collaboration skills, and the ability to work across departments to ensure the integrity and security of company operations.

Key Responsibilities

  • Utilize data analytics tools to support the design and implementation of claim fraud detection and prevention initiatives. 
  • Compiles, cleans, organizes and analyzes complex data to understand fraud results 
  • Develop and maintain comprehensive data models to identify fraud patterns and trends. 
  • Pilot technical solutions to enhance both operational and data analysis capabilities for fraud detection and prevention. 
  • Collaborate with internal partners such as IT, Legal, Compliance, and Claims to ensure alignment and effective fraud mitigation solutions. Design and operate reports to measure the effectiveness and loss cost containment of fraud mitigation tools, processes, and initiatives. 
  • Build automated self-service reports to track referrals, assignments, performance metrics, and outcomes of claim fraud.
  • Develop a consistent communication strategy to keep all stakeholders informed and engaged. 
  • Develop and maintain strong relationships with key departments to foster a culture of transparency and trust.
  • Ensure timely and effective communication with all relevant parties during fraud investigations. 

​Preferred Qualifications

  • 3–5 years of experience in data analytics, fraud detection, or claims operations within the insurance or financial services industry.
  • Proficiency in coding and query languages, including Python and R. Power BI and SQL required.
  • Strong experience with data analytics and visualization platforms such as Alteryx, Tableau, and Power BI, with a proven ability to build and maintain automated dashboards and self-service reporting tools.
  • Familiarity with fraud detection models, anomaly detection techniques, and predictive analytics.
  • Strong understanding of claims processes, fraud referral workflows, and SIU operations.
  • Experience working with cross-functional teams including IT, Legal, Compliance, and Operations.
  • Knowledge of data governance, privacy regulations, and secure data handling practices.
  • Excellent communication and stakeholder engagement skills, with the ability to translate complex data insights into actionable business strategies.
  • Experience in project management or leading initiatives that span multiple departments or systems.

Supervisory Responsibilities

  • This job does not have supervisory duties.

This position is not available for California, Alaska, Hawaii, Washington, or Puerto Rico residents.

#LI-YS1

Skills

Alteryx, Dashboard Reporting, Data Analytics, Data Reporting, Data Visualization, Fraud Analysis, Microsoft Power Business Intelligence (BI), Property & Casualty Insurance, Special Investigations, SQL Coding

Compensation

Compensation offered for this role is $90,000 - $135, 000 and is based on experience and qualifications.The candidate(s) offered this position will be required to submit to a background investigation

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.

For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Top Skills

Alteryx
Power BI
Python
R
SQL
Tableau

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