Insurance Data Specialist - Analytics

Mercor; San Francisco (CA); À distance; GBP 61 000 - 91 000; Plein temps

Résumé du poste

Mercor connects elite creative and technical talent with leading AI research labs. This Insurance Data & Operations Specialist contract role is remote with a commitment of 20–40 hours per week and is designed for immediate start.

You will design data scenarios, develop QC processes, and produce operational reports, dashboards, and KPIs while providing actionable feedback to improve model performance. Must have 2+ years in insurance data/QA, strong analytical writing, and proficiency with

Qualifications

• 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement.
• Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health‑plan operations, reinsurance, or compliance.
• Translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls.
• Analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision.
• Excellent analytical writing, structured problem‑solving, and high attention to detail.
• Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.

Responsabilités

• Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
• Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process‑improvement recommendations.
• Write "golden" reference responses at experienced insurance data and operations quality.
• Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication.
• Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence.
• Provide written feedback the research team uses to improve model behavior.

Connaissances

Data analysis

Quality assurance

Process improvement

Analytical writing

Spreadsheet proficiency

Insurance domain knowledge

Outils

SQL

Python

Power BI

Tableau

Looker

Excel

Description du poste

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Insurance Data & Operations Specialist
Type: Contract
Compensation: $800 per task
Location: Remote
Commitment: 20–40 hours/week

Role Responsibilities

• Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
• Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process‑improvement recommendations.
• Write "golden" reference responses at experienced insurance data and operations quality.
• Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication.
• Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence.
• Provide written feedback the research team uses to improve model behavior.

Qualifications

Must-Have

• 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement.
• Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health‑plan operations, reinsurance, or compliance.
• Translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls.
• Analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision.
• Excellent analytical writing, structured problem‑solving, and high attention to detail.
• Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.

Preferred

• Experience with SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms.
• Lean, Six Sigma, project‑management, business‑analysis, or data‑governance credential.
• Experience with policy, billing, claims, CRM, provider, or member‑administration systems.
• Data governance, model governance, audit, or operational quality experience.
• Experience developing KPIs, service‑level metrics, or executive reporting.

Start Date

• Immediately; applications reviewed on a rolling basis.

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.