Mid Level Senior Actuarial Analyst Jobs
Mid level senior actuarial analyst jobs go to analysts ready to own modeling projects end to end, make pricing or reserving decisions with limited oversight, and guide junior staff through technical work. Openings lean 33% remote or hybrid across Insurance, Technology & Software, and Transportation & Logistics, with employers like Uber, Hawaii Medical Service Association, and Berkshire Hathaway Specialty Insurance hiring at this level now.
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Showing 5 of 6+ Mid Level Senior Actuarial Analyst jobs
- 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
- 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
See All 6 Mid Level Senior Actuarial Analyst Jobs
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Find JobsMid Level Senior Actuarial Analyst Job Market
Who's Hiring
Top Industries Hiring
- Insurance
- Technology & Software
- Transportation & Logistics
- E-Commerce & Online Marketplaces
Mid Level Senior Actuarial Analyst Jobs: Frequently Asked Questions
How do I get a mid level senior actuarial analyst job?
Position yourself around ownership, not just contribution. Highlight specific models, analyses, or projects you led from start to finish, not tasks you supported. Emphasize progress toward actuarial exams, because mid level roles typically expect several exams passed. Show where your work influenced a business decision, and tailor your application to the specific practice area, whether that is property and casualty, life, health, or pensions.
Which companies hire mid level senior actuarial analysts?
Companies hiring mid level senior 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 comes from a mix of large insurers, reinsurance firms, consulting practices, and financial services organizations that need analysts who can work with reduced supervision and contribute to complex projects.
Are there remote mid level senior actuarial analyst jobs?
Yes, and the share is meaningful for this role. About 33% of mid level senior actuarial analyst openings are remote or hybrid as of September 2026, reflecting how much actuarial work centers on data, modeling software, and spreadsheet-based analysis that translates well to distributed teams. Fully on-site roles still exist, particularly at firms with collaborative pricing or reserving cycles.
How do I move up to a mid level senior actuarial analyst role?
The path from entry level to mid level is built on deepening technical skills, passing additional actuarial exams, and progressively taking ownership of work products rather than executing tasks assigned by others. Analysts who move up fastest demonstrate they can identify the right methodology for a problem, communicate results to non-actuarial stakeholders, and produce work that requires minimal revision from a senior reviewer.
Which industries hire the most mid level senior actuarial analysts?
Mid Level senior actuarial analyst roles concentrate in Insurance, Technology & Software, and Transportation & Logistics, based on current listings on Migrate Mate as of September 2026. Those sectors drive hiring because they carry large books of insured risk, long-dated liabilities, or regulatory capital requirements that demand experienced analysts who can model uncertainty and translate results into business guidance.