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Manager, Data Analytics - Job Opportunity at Enlyte

Remote, US
Full-time
Senior
Posted: June 29, 2025
Remote
USD 105,000 - 150,000 per year

Benefits

Comprehensive health coverage including medical, dental, and vision insurance providing security and peace of mind for employees and their families
Health Savings Account and Flexible Spending Account options offering tax-advantaged healthcare funding and financial flexibility
Life and AD&D insurance providing financial protection and security for beneficiaries
401(k) retirement plan enabling long-term wealth building and financial security
Tuition reimbursement program supporting continuous learning and career advancement
Comprehensive wellness resources and programs promoting lifelong health and work-life balance

Key Responsibilities

Lead strategic development and mentorship of diverse data analytics teams, directly impacting organizational capability and talent retention through performance management and skills development
Drive operational excellence through agile project management methodologies, ensuring high-impact analytics deliverables meet business objectives while optimizing resource allocation
Shape organizational data strategy by collaborating with executive leadership to develop analytics roadmaps that align with business goals and drive competitive advantage
Build executive-level stakeholder relationships and translate complex technical insights into actionable business recommendations that influence strategic decision-making
Establish and maintain enterprise data governance standards while overseeing development of scalable analytics solutions that support business growth
Champion data-driven culture across the organization through best practices implementation and cross-functional collaboration with product, finance, and marketing teams

Requirements

Education

Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline

Experience

8+ years of experience in data analytics, business intelligence, or related fields with 3+ years of people management experience

Required Skills

Strong understanding of data analysis methodologies and visualization techniques Proficiency with SQL and familiarity with Python or R Experience with data visualization tools (Tableau, Power BI, or similar platforms) Excellent communication skills with the ability to translate technical concepts for non-technical audiences Proven ability to manage multiple projects and priorities effectively Strong problem-solving skills and business acumen
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Sauge AI Market Intelligence

Industry Trends

The insurance technology sector is experiencing rapid digital transformation, with companies increasingly investing in data analytics capabilities to improve claims processing, risk assessment, and customer experience. This trend is particularly pronounced in workers' compensation and property & casualty insurance, where predictive analytics and machine learning are becoming essential for competitive advantage. There is growing demand for analytics managers who can bridge the gap between technical teams and business stakeholders, as organizations recognize that technical expertise alone is insufficient without strong business acumen and communication skills. Remote work has become standard in analytics roles, with companies expanding their talent pools nationally and internationally, leading to increased competition for top talent but also greater opportunities for professionals. The rise of cloud-based analytics platforms and self-service BI tools is changing the role of analytics managers from gatekeepers of data to enablers of organizational data literacy and strategic advisors.

Salary Evaluation

The offered salary range of $105,000 - $150,000 is competitive for a senior analytics management role, particularly given the remote work option. This range aligns well with market rates for similar positions in the insurance technology sector, where specialized domain knowledge commands premium compensation.

Role Significance

Based on the role description and company context, this position likely manages a team of 5-10 analysts and data scientists, with potential for team growth as the company expands its analytics capabilities.
This is a senior management position with significant organizational impact, requiring both technical depth and executive presence. The role involves direct reports, budget responsibility, and strategic planning authority, positioning the incumbent as a key leader in the organization's data strategy.

Key Projects

Development of predictive models for claims cost estimation and settlement timing Creation of automated reporting dashboards for executive leadership and business unit managers Implementation of advanced analytics solutions for fraud detection and risk assessment Design and deployment of customer journey analytics to improve user experience and retention

Success Factors

Ability to translate complex technical concepts into business value propositions that resonate with executive leadership and drive organizational buy-in for analytics initiatives Strong coaching and mentorship skills to develop high-performing analytics teams while maintaining technical excellence and professional growth Strategic thinking capability to identify emerging opportunities for analytics applications that can provide competitive advantage in the insurance market Exceptional project management skills to balance multiple competing priorities while ensuring quality deliverables and meeting business timelines Deep understanding of insurance industry dynamics and regulatory requirements to ensure analytics solutions are both innovative and compliant

Market Demand

High - The intersection of people management skills, technical analytics expertise, and insurance industry knowledge creates a relatively small talent pool, making qualified candidates highly sought after in the current market.

Important Skills

Critical Skills

SQL proficiency is essential as it remains the primary language for data manipulation and analysis across most enterprise environments, particularly in insurance where large datasets require efficient querying capabilities People management and team development skills are crucial given the scarcity of analytics talent and the need to build high-performing teams that can deliver complex projects under tight deadlines Business acumen and stakeholder management abilities are vital for translating technical insights into actionable business recommendations that drive organizational decision-making and strategy Project management expertise is critical for coordinating multiple analytics initiatives while ensuring quality outcomes and meeting business expectations in a fast-paced environment

Beneficial Skills

Python or R programming skills provide advanced analytics capabilities and are increasingly important for machine learning applications in insurance, particularly for predictive modeling and automation Experience with modern cloud platforms like Snowflake offers significant advantages as companies migrate to cloud-based architectures for scalability and cost efficiency Knowledge of machine learning concepts is becoming essential as insurance companies increasingly adopt AI-driven solutions for risk assessment, fraud detection, and customer experience optimization Understanding of healthcare and insurance regulations provides competitive advantage in ensuring analytics solutions meet compliance requirements while maximizing business value

Unique Aspects

The combination of healthcare, insurance, and technology creates a unique analytics environment where clinical outcomes, financial performance, and regulatory compliance must all be balanced in analytical solutions
The role offers exposure to both B2B enterprise clients and individual claimants, providing diverse analytical challenges and stakeholder management experience
Enlyte's focus on the complete recovery journey from injury to return-to-work creates opportunities for longitudinal analytics and predictive modeling that extend beyond traditional insurance analytics
The company's emphasis on human compassion alongside technology suggests analytics work that directly impacts individual lives and recovery outcomes, providing meaningful purpose beyond typical business metrics

Career Growth

With strong performance, progression to VP-level roles typically occurs within 3-5 years, particularly in high-growth companies like Enlyte where successful leaders can advance rapidly as the organization scales.

Potential Next Roles

VP of Data & Analytics or Chief Data Officer roles within Enlyte or similar insurance technology companies Senior Director of Analytics positions at larger insurance carriers or technology companies Consulting roles focused on insurance analytics transformation at major consulting firms Leadership positions at analytics software vendors serving the insurance industry

Company Overview

Enlyte

Enlyte operates in the specialized niche of workplace injury and auto accident recovery solutions, combining technology, clinical expertise, and data analytics to serve both Fortune 500 companies and local businesses. The company appears to be in a growth phase, investing heavily in data and analytics capabilities to differentiate its services.

Enlyte appears to be a significant player in the workers' compensation and liability insurance technology space, with enough scale to serve Fortune 500 clients while maintaining focus on innovation and clinical outcomes.
The remote work option and national client base suggest Enlyte has significant geographic reach across the United States, with this role likely supporting analytics needs across multiple markets and business units.
The company emphasizes mission-driven work focused on helping people recover from injuries, suggesting a culture that values both business results and social impact. The emphasis on collaboration, innovation, and personal growth indicates a modern, employee-centric workplace culture.
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