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Insurance Analytics SME

Data Science & Analytics Job ID: 1780805

COMPANY OVERVIEW:

Our client is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using a proprietary, award-winning platform, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, they help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

They serve the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. The Analytics practice 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, they take an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. They have a global footprint of nearly 2,000 data scientists and analysts 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.

POSITION OVERVIEW:

The SME will lead the analytics solution delivery for various insurance carriers and have extensive experience in designing data/analytics (including BI, predictive model and data solutions) across insurance businesses.

RESPONSIBILITIES:

  • Insurance data and analytics domain expert who can provide strategical and tactical advisory services on data solutions and consult with the senior business leaders.
  • Experience leading analytics solution delivery for various insurance carrier
  • Experience in designing data/analytics (including BI, predictive model and data solutions) across insurance business functions like Claims, Distribution, Product, Marketing, Finance etc.
  • Understands insurance regulatory environment and market across insurance products.
  • Strong hold in prominent tools like SQL/SAS/Python /PBI/Tableau or cloud technologies like AWS/Azure/GCP etc.
  • Conduct sessions to understand the clients’ 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 and internal teams on establishing relationship with stakeholders, identify new opportunities, areas of growth.
  • Develop business proposals, facilitate client working sessions, team up with technology professions and/or third-party strategic alliances to conduct solutioning exercises based on clients’ needs.
  • Participate and own various new RFPs, work with various SMEs to research and develop technical/business case studies,
  • Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensures 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 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 delivery team.

PREFERRED PROFILE:

  • Bachelor’s/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.) 
  • Strong hold in delivering analytics solutions including data engineering/models, reporting/dashboarding, predictive modeling, operationalization of models, monitoring, business strategy support across insurance functions
  • Good grasp in conducting business workshops, architecting solutions, benchmarking industry solutions and recommending best-in class approach 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 type of stakeholders including business, technology, analysts/engineers and leading multi-stakeholder based engagements.
  • Provide insurance industry best practices, 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.
  • Experienced in execution of delivery of a range data management, analytics, artificial intelligence consulting and delivery engagements.
  • Demonstrated experience in building relationship with executive level clients in Insurance industry
  • Support the engagement with expertise in deploying data solutions on Cloud/On-premise, advanced analytics, and business intelligence solutions.
  • Establish environment of learning and development to continuously strengthen delivery proposition for various analytics setups.
  • Establish industry standard framework for absorbing latest development in the industry.
  • Perform research and provide solutioning for various business needs from clients across insurance value chain.
  • Demonstrated experience with Azure platform or relevance cloud technologies to design/integrate ETL pipelines, data models for efficient BI solutions 

LOCATION: NY, Chicago or Wisconsin (Hybrid office expectations)

Job ID# 1780805

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