Mid Level Actuarial Analyst Jobs
Mid level actuarial analyst jobs go to analysts ready to own model development, mentor junior staff, and drive risk and pricing decisions with limited oversight. Openings are 33% remote or hybrid, concentrated in Insurance, Technology & Software, and Transportation & Logistics, with Uber, Hawaii Medical Service Association, and Berkshire Hathaway Specialty Insurance hiring at this level now.
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- Data Management:
- Reviews data sources and preps needed data. Identifies and communicates issues, limitations, and risks with data sets/reports.
- Identifies existing and new data sources.
- Performs data prototyping, if necessary, to agree what data can/not be used.
- Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved.
- Performs review of data to ensure completeness/accuracy/timeliness for the purpose of the analysis.
- Maintains tables that are necessary for department or corporate reporting.
- Ensures existing, approved, corporate tools used can accept/integrate the data.
- Works with external data contacts to resolve issues related to the delivery or receipt of data.
- Reviews data sources and preps needed data. Identifies and communicates issues, limitations, and risks with data sets/reports.
- Analytics and Technical Acumen:
- Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed, and data sources/tools used. Consults with customers on the appropriate analytical approach, identifies benefits/risks, and makes appropriate suggestions to arrive at the desired outcome.
- Determines what kind of analytics will be performed (descriptive, predictive, prescriptive) and defines/documents overall framework.
- Understands various internal and external data sources available; uses expertise to utilize the most appropriate data source.
- Utilizes appropriate tools to load, integrate, and analyze data.
- Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved.
- Ensures reproducibility of outcomes.
- Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes.
- Implements pre-emptive actions, where possible.
- Gains the needed skills/knowledge when new technologies arrive and provides translation between old and new.
- Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed, and data sources/tools used. Consults with customers on the appropriate analytical approach, identifies benefits/risks, and makes appropriate suggestions to arrive at the desired outcome.
Lead in the development and delivery of analytics/reporting tools for internal and external customers.
Types of projects include the development, maintenance, and enhancements of self-service reporting tools and regular or ad hoc reporting.
Applies a whole company perspective, draws upon previous knowledge and experience, and - where necessary - research new/other approaches to identify and agree upon objectives, approach, and success measures.
Gathers customers requirements and translates them into actionable analytics and reporting tools.
Defines delivery milestones and negotiates timeframes, monitors progress and periodically notifies customer of status.
Provides training to customers on new tools/reporting capabilities
Effective Communication:
Prepare/present findings that are informative and audience appropriate.
Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis.
Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making.
Prepares a presentation of the analysis, process followed and reviews it with the customer to ensure the results are audience appropriate.
Performs all other miscellaneous responsibilities and duties as assigned or directed.
- Bachelor's degree and five (5) years of related experience; or an equivalent combination of education and related work experience.
- Strong oral and written communicate skills.
- Strong understanding of data (types, content reliability, etc.).
- Strong problem solving and data collection, analysis, and interpretation.
- Strong understanding/use of dashboards, data visualization tools, and advanced and custom graphics.
- Basic knowledge of Microsoft Office applications. Including but not limited to Word, PowerPoint, Excel, and Outlook.
- Proficiency with OLAP tools and databases.
- Knowledge of one or more of the following: SQL, R or SAS/SPSS
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Who's Hiring



Top Industries Hiring
- Insurance
- Technology & Software
- Transportation & Logistics
- E-Commerce & Online Marketplaces
Mid Level Actuarial Analyst Jobs: Frequently Asked Questions
How do I get a mid level actuarial analyst job?
Lead your application with evidence of ownership: models you built, reserve studies you led, or analyses that directly informed a business decision. Highlight progress on actuarial exams alongside hands-on experience with reserving, pricing, or predictive modeling. Employers at this level want analysts who can work independently and communicate technical findings to non-actuarial stakeholders, so demonstrate both in your resume and interviews.
Which companies hire mid level actuarial analysts?
Companies hiring mid level actuarial analysts right now include Uber, Hawaii Medical Service Association, and Berkshire Hathaway Specialty Insurance, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large insurers and reinsurers, regional carriers, consulting firms, and financial services companies that run in-house actuarial functions.
Are there remote mid level actuarial analyst jobs?
Yes, and a meaningful share of openings offer location flexibility. About 33% of mid level actuarial analyst openings are remote or hybrid as of September 2026, reflecting how widely actuarial work translates to distributed teams. Fully on-site roles tend to cluster at employers that prioritize in-person collaboration on complex modeling or regulatory projects.
How do I move up to a mid level actuarial analyst role?
Progressing from entry level to mid level in actuarial work comes down to deepening technical ownership and passing additional exams. Early-career analysts who take on full segments of a pricing or reserving project, document their methodology independently, and begin mentoring newer colleagues signal readiness for mid level scope. Consistent exam progress, exposure to multiple product lines, and demonstrated accuracy in high-stakes analyses all accelerate the move.
Which industries hire the most mid level actuarial analysts?
Mid Level actuarial analyst roles concentrate in Insurance, Technology & Software, and Transportation & Logistics, based on current listings on Migrate Mate as of September 2026. These sectors drive sustained demand because they rely on actuarial expertise to price risk, set reserves, and meet regulatory capital requirements at scale.