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Senior Insurance Data Analytics Jobs in Colorado

Present findings, insights, and recommendations to senior-level technical and non-technical ... Education Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer ...

Data Analyst Location: Centennial, CO Type: Contract Length: 9 months Our client in the Centennial ... A senior resource is needed to work with business users, identify requirements, and manage issues ...

... senior technical and non-technical audiences. This position requires 4 days per week onsite in ... Education · Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer ...

... senior technical and non-technical audiences. This position requires 4 days per week onsite in ... Education • Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer ...

Translate data into actionable insights, strategies, and root cause analysis * Develop, maintain ... Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other ...

Translate data into actionable insights, strategies, and root cause analysis * Develop, maintain ... Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other ...

Manager, Analytics

Denver, CO · On-site

$99K - $124K/yr

This role will report to the Senior Director, Enterprise Analytics. The Day to Day * Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics solutions ...

Senior Data Engineer, Global

Denver, CO · On-site

$109K - $148K/yr

Vantage Data Centers is seeking a Senior Data Engineer to help evolve and scale our enterprise data ... Collaborate with business analysts, data scientists, and stakeholders across Human Resources ...

Sr Analyst, Data Management (ROPS)

Denver, CO · On-site

$88K - $111K/yr

As a Sr. Analyst on this growing team, you will represent the business and partner with DaVita ... Strong collaboration with revenue operations centralized analytics teams to ensure data ...

Posted today

Showing results 41-60

Senior Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What are the most commonly searched types of Insurance Data Analytics jobs in Colorado?

The most popular types of Insurance Data Analytics jobs in Colorado are:

What cities in Colorado are hiring for Senior Insurance Data Analytics jobs?

Cities in Colorado with the most Senior Insurance Data Analytics job openings:

Contractor

Posted 14 days ago


Job description

Company Profile 

At Sand Cherry Associates,we excel in the design and delivery of strategic customer-centric initiatives throughdigitally native, data-empowered solutions.Our client's confidence in us is centered onexceptionallyskilled,high-energytalent workingwith thesupportofthe full Sand Cherry team.Finding the right match forthis role is a critical aspect ofcontinuingthat success. 

Overview

We are seeking an experienced Data Analyst who will leverage advanced, non-machine-learning analytical techniques to investigate business questions, uncover meaningful insights, and translate complex data into actionable recommendations that improve customer reliability and video product performance. The Data Analyst will partner closely with management, technical teams, and cross-functional stakeholders to transform business questions into clearly defined analytical problems, explore and analyze data, and communicate findings in a way that supports strategic and operational decision-making. The ideal candidate is a hands-on, self-directed analyst with strong expertise in SQL, Excel, and Tableau, along with experience using Alteryx for data preparation and transformation. This individual should be equally comfortable working with complex datasets, developing executive-facing dashboards, and presenting findings and recommendations to senior technical and non-technical audiences. This position requires 4 days per week onsite in Denver, CO. Only candidates currently located in the Denver metropolitan area will be considered. All candidates must be authorized to work in the United States without current or future visa sponsorship. We are unable to work with C2C arrangements for this opportunity.

Duties & Responsibilities

       Partner with management and key stakeholders to transform ambiguous business questions into clearly defined, well-scoped, and actionable analytical problem statements.

       Take ownership of critical analytical projects from initial problem definition through analysis, recommendations, and delivery of actionable insights.

       Explore complex datasets to identify trends, patterns, performance issues, and opportunities that can influence business strategy and improve customer and product reliability.

       Apply appropriate statistical and analytical techniques to investigate well-defined business questions and support data-driven decision-making.

       Develop ETL workflows using Alteryx and/or SQL to extract, transform, clean, validate, and join data from multiple sources into analysis-ready datasets.

       Perform complex data analysis using SQL and Excel, ensuring accuracy, consistency, and integrity throughout the analytical process.

       Design, develop, and maintain Tableau dashboards and reports that track key performance indicators, reliability metrics, trends, and overall business performance.

       Develop reporting and visualizations that enable executive stakeholders to quickly understand performance and identify areas requiring attention.

       Translate complex analytical findings into clear, compelling narratives supported by effective charts, figures, tables, and data visualizations.

       Develop polished, executive-ready PowerPoint presentations with a strong emphasis on clarity, readability, and effective storytelling.

       Present findings, insights, and recommendations to senior-level technical and non-technical audiences, adapting communication to the audience and organizational environment.

       Leverage knowledge of the cable, telecommunications, and/or video industry to quickly understand business issues, operational challenges, and data context.

       Collaborate cross-functionally with business, technical, product, and operational teams to ensure analyses address the right questions and lead to measurable outcomes.

Requirements

       5+ years of professional data analysis experience, preferably within reliability, operations, telecommunications, cable, video, or a related environment.

       Demonstrated hands-on proficiency with SQL, Excel, and Tableau is required.

       Experience with Alteryx is highly desirable, particularly for developing repeatable ETL and data-preparation workflows.

       Experience within the cable/telecommunications industry is highly desirable.

       Strong understanding of data transformation, cleansing, validation, joining, and analysis across multiple data sources.

       Solid foundation in statistics with the ability to select and apply appropriate analytical techniques to business problems.

       Proven ability to independently analyze complex datasets and distill findings into clear, actionable business insights and recommendations.

       Experience developing and maintaining Tableau dashboards, KPI reporting, and executive-level data visualizations.

       Strong PowerPoint skills with experience developing polished presentations that communicate analytical findings effectively.

       Excellent written and verbal communication skills, including demonstrated ability to present complex information to senior leadership.

       Strong stakeholder-management and cross-functional collaboration skills.

       Highly detail-oriented, data-driven, and intellectually curious, with strong critical-thinking and problem-solving abilities.

       Self-starter with demonstrated ability to take ownership of projects, work independently, and drive analyses from conception through recommendation.

Education

       Bachelor's degree in Data Analytics, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field required; Master's degree preferred.

Compensation

Sand Cherry Associates is required by Colorado law to include a reasonable estimate of the compensation range for this role. This compensation range considers a wide range of factors considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and delivery model. This is a long-term consulting opportunity with a salary range of $95,000-$110,000. Years of experience, level of education, geographic location, unique skills/qualifications for the specific role and potential certifications can be key factors in the final compensation for this role.

Benefits

Our team is unique - we are passionate about what we do. At Sand Cherry, our Consultants know they are impacting and shaping our clients' industries. We recognize our employees for their contributions. Our culture is one of the most friendly and communicative in the consulting industry. Sand Cherry is not a top-heavy organization. We offer the opportunity to be part of a digital workforce. Discover the experience that only comes with self-responsibility in the workplace. Our team members manage their own workloads and are expected to deliver exceptional work for our clients. Professional career growth is one of our main priorities, as we affirm that investing in our Consultants and empowering our people will also deliver the best results and value for our clients.