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Inizio Partners

Insurance Analytics SME

Chicago, IL · Remote

They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce ... This is a remote role with the potential to become hybrid. Role & Responsibilities Overview:

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How much do remote sas bank jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote sas bank in the United States is $54.12, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $59.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote SAS Bank Analyst, and why are they important?

To thrive as a Remote SAS Bank Analyst, you need expertise in statistical analysis, data management, and proficiency with SAS programming, usually backed by a degree in statistics, mathematics, or a related field. Familiarity with SAS Enterprise Guide, Base SAS, and data visualization tools is highly valuable, along with relevant certifications like SAS Certified Advanced Programmer. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with remote teams. These skills are crucial for generating accurate insights, ensuring regulatory compliance, and supporting data-driven decision-making in a banking environment.

What are the typical challenges faced when working remotely as a SAS Bank Analyst, and how can they be addressed?

Remote SAS Bank Analysts often face challenges such as coordinating effectively with cross-functional teams, managing secure data access, and maintaining clear communication on project goals. To overcome these, it’s important to establish regular virtual meetings, utilize secure VPN connections for data handling, and use collaborative platforms to track project progress. Proactively seeking feedback and clarifying expectations with stakeholders can further ensure alignment and smooth workflow in a remote setting.

What is a Remote SAS Bank job?

A Remote SAS Bank job typically involves managing and analyzing data using SAS (Statistical Analysis System) software for banking or financial institutions, all while working from a remote location. Professionals in these roles may be responsible for tasks such as data extraction, report generation, statistical modeling, and supporting decision-making processes for the bank. This position requires proficiency in SAS programming, knowledge of banking operations, and strong analytical skills. Remote SAS Bank professionals use secure online systems to access data and collaborate with colleagues virtually. This setup allows for flexibility in work location without compromising the security and integrity of sensitive financial data.
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Remote Sas Bank jobs near you
Infographic showing various Remote Sas Bank job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $112,568 per year, or $54.1 per hour.

Insurance Analytics SME

Inizio Partners

Chicago, IL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

About the job Insurance Analytics SME
OUR CLIENT
Our client provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting-edge analytics techniques, and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, our client's analytics team takes an industry-specific approach to transform decision-making and embed analytics more deeply into their business processes. They have a global footprint of 2,000+ data scientists and analysts who assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. They serve the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
ROLE
We are seeking an Insurance Analytics SMEwho will play a key customer-facing role for an Insurance customer. Candidate should have extensive consulting experience in the Insurance industry. This is a remote role with the potential to become hybrid.
Role & Responsibilities Overview:

  • Insurance data and analytics domain expert who can provide strategic and tactical advisory services on data solutions.
  • Experience leading analytics solution delivery for various insurance carriers.
  • Experience in designing data/analytics (including BI, predictive model and data solutions) across insurance business functions like Claims, Distribution, Product, Marketing, Finance, etc.
  • Understand the insurance regulatory environment and market across insurance products.
  • Strong knowledge of prominent tools like SQL/SAS/Python /PBI/Tableau or cloud technologies like AWS/Azure/GCP etc.
  • Conduct sessions to understand the client's needs utilizing standard and innovative consulting skills to deliver an optimal recommendation.
  • Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process, and figuring out ways to resolve it.
  • Expected to work in close collaboration with the Client team and internal team on establishing relationships with stakeholders, and identifying new opportunities, and areas of growth.
  • Provide Project, Client & Team Management and Monitor the progress of deliverables on a daily basis and ensure timely resolution of any issues.
  • Provide technical direction/support to project team members across data modeling, data manipulation, visualization, predictive modeling, Reporting, and Automation projects across the Insurance Value Chain
  • Proactively manage diverse teams and their expectations including career progression, skill development, or other people management aspects
  • Ensure Industry best practices are followed, Communicate and follow up with the delivery team.
  • Develop business proposals, facilitate client working sessions, and team up with technology professionals and/or third-party strategic alliances to conduct solution exercises based on clients' needs.
  • Participate and own various new RFPs, work with various SMEs to research and develop technical/business case studies,
Key Skillsets:
  • Experienced in the execution of delivery of a range of data management, analytics, artificial intelligence consulting, and delivery engagements.
  • Demonstrated experience in building relationships with executive-level clients in the Insurance industry
  • Support the engagement with expertise in deploying data solutions on Cloud/On-premise, advanced analytics, and business intelligence solutions.
  • Establish an environment of learning and development to continuously strengthen delivery propositions for various analytics setups.
  • Establish an industry-standard framework for absorbing the latest developments in the industry.
  • Perform research and provide solutions for various business needs from clients across the insurance value chain.
  • Demonstrated experience with Azure platform or relevant cloud technologies to design/integrate ETL pipelines, and data models for efficient BI solutions
Candidate Profile:
  • Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply.
  • 7+ years with significant experience across Insurance business functions and processes (among Claims, Distribution, Marketing, Products & UW, Finance, etc.)
  • Experience in delivering analytics solutions including data engineering/models, reporting/dashboarding, predictive modeling, operationalization of models, monitoring, and business strategy support across insurance functions
  • Good grasp of conducting business workshops, architecting solutions, benchmarking industry solutions, and recommending best-in-class approaches for solution delivery
  • Proven expertise in delivering solutions leveraging data tools like SQL/SAS/Snowflake, AWS/Azure/GCP, Python/R, PowerBI/Tableau etc.
  • Strong interfacing experience with different types of stakeholders including business, technology, analysts/engineers, and leading multi-stakeholder-based engagements.
  • Provide insurance industry best practices, and thought leadership and enable an environment of continuous development, innovation
  • Experience in working in dual shore engagement and must have experience in managing large programs Insurance Analytics CoE and multiple clients directly.
  • Competitor analysis, Ad-hoc data analysis, and application of First principles thinking approach to solve business problems.
  • Strong grasp of the latest tools within the market.
  • Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
  • Outstanding written and verbal communication skills
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.

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