Mitchell

Manager, Data Analytics


Pay$105000.00 - $150000.00 / year
LocationRemote
Employment typeFull-Time

This job is now closed

  • Job Description

      Req#: 18112
      Company Overview

      At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

      Be part of a team that makes a real difference.


      Job Description

      We are seeking an experienced and strategic Manager for our Casualty Analytics Group to lead a team of analysts. In this role, you will provide leadership and direction to ensure the team delivers high-quality data solutions that drive business value. You will be responsible for overseeing analytics projects, developing team capabilities, and serving as the bridge between technical data professionals and business stakeholders.

      Key Responsibilities:

      Team Leadership & Development:

      • Lead, mentor, and develop a diverse team of data and analytics professionals
      • Create a collaborative environment that fosters innovation, continuous learning, and professional growth
      • Conduct regular performance evaluations and provide constructive feedback to team members
      • Stay informed about industry trends and emerging technologies to guide strategic decisions
      • Identify skill gaps and implement training programs to enhance team capabilities
      • Build and maintain strong relationships with business unit leaders and cross-functional stakeholders
      • Collaborate with VP, Data & Analytics to develop and execute the analytics roadmap

      Project Management & Data Analytics:

      • Oversee multiple analytics projects simultaneously, ensuring timely delivery and quality outcomes
      • Translate complex business requirements into actionable analytics projects
      • Help develop various models for stakeholder needs (e.g., market sizing, pricing, budgets, financial forecasts, etc.)
      • Apply advanced analytics techniques (e.g., predictive modeling, machine learning) to leverage data for business decisions
      • Prioritize team workload based on business impact and resource constraints
      • Implement agile methodologies to improve project delivery and team efficiency
      • Identify opportunities for process improvement and automation

      Technical Oversight:

      • Guide the development of scalable data solutions that meet business needs
      • Oversee the creation and maintenance of dashboards, reports, and data visualizations
      • Drive the adoption of best practices in data analysis, visualization, and communication

      Principal Working Relationships:

      • VP, Data & Analytics
      • Business Unit Leadership
      • EVP, Product
      • Cross-Functional Stakeholders in Product, Finance, Sales & Marketing
      • IT and Data Engineering Teams

      Qualifications

      Required:

      • Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline
      • 8+ years of experience in data analytics, business intelligence, or related fields
      • 3+ years of people management experience, preferably leading technical teams
      • 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

      Preferred:

      • Master's degree in a relevant field (Data Science, Business Analytics, etc.)
      • Experience in the workers' compensation or P&C insurance industry
      • Knowledge of big data technologies such as Snowflake
      • Experience with analytics platforms like Hex
      • Understanding of machine learning concepts and applications

      Benefits

      We’re committed to supporting your ultimate well-being through our total compensation package offerings that support your health, wealth and self. These offerings include Medical, Dental, Vision, Health Savings Accounts / Flexible Spending Accounts, Life and AD&D Insurance, 401(k), Tuition Reimbursement, and an array of resources that encourage a lifetime of healthier living. Benefits eligibility may differ depending on full-time or part-time status. Compensation depends on the applicable US geographic market. The expected base pay for this position ranges from $105,000 - $150,000 annually, and will be based on a number of additional factors including skills, experience, and education.

      The Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

      Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

      #LI-AP1

      #ENT


      Required:

      • Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline
      • 8+ years of experience in data analytics, business intelligence, or related fields
      • 3+ years of people management experience, preferably leading technical teams
      • 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

      Preferred:

      • Master's degree in a relevant field (Data Science, Business Analytics, etc.)
      • Experience in the workers' compensation or P&C insurance industry
      • Knowledge of big data technologies such as Snowflake
      • Experience with analytics platforms like Hex
      • Understanding of machine learning concepts and applications

      We are seeking an experienced and strategic Manager for our Casualty Analytics Group to lead a team of analysts. In this role, you will provide leadership and direction to ensure the team delivers high-quality data solutions that drive business value. You will be responsible for overseeing analytics projects, developing team capabilities, and serving as the bridge between technical data professionals and business stakeholders.

      Key Responsibilities:

      Team Leadership & Development:

      • Lead, mentor, and develop a diverse team of data and analytics professionals
      • Create a collaborative environment that fosters innovation, continuous learning, and professional growth
      • Conduct regular performance evaluations and provide constructive feedback to team members
      • Stay informed about industry trends and emerging technologies to guide strategic decisions
      • Identify skill gaps and implement training programs to enhance team capabilities
      • Build and maintain strong relationships with business unit leaders and cross-functional stakeholders
      • Collaborate with VP, Data & Analytics to develop and execute the analytics roadmap

      Project Management & Data Analytics:

      • Oversee multiple analytics projects simultaneously, ensuring timely delivery and quality outcomes
      • Translate complex business requirements into actionable analytics projects
      • Help develop various models for stakeholder needs (e.g., market sizing, pricing, budgets, financial forecasts, etc.)
      • Apply advanced analytics techniques (e.g., predictive modeling, machine learning) to leverage data for business decisions
      • Prioritize team workload based on business impact and resource constraints
      • Implement agile methodologies to improve project delivery and team efficiency
      • Identify opportunities for process improvement and automation

      Technical Oversight:

      • Guide the development of scalable data solutions that meet business needs
      • Oversee the creation and maintenance of dashboards, reports, and data visualizations
      • Drive the adoption of best practices in data analysis, visualization, and communication

      Principal Working Relationships:

      • VP, Data & Analytics
      • Business Unit Leadership
      • EVP, Product
      • Cross-Functional Stakeholders in Product, Finance, Sales & Marketing
      • IT and Data Engineering Teams
  • About the company

      Mitchell International, Inc. is an American company based in San Diego, CA, which develops software used by the automotive industry to manage collision and medical claims, parts and labor estimates, and glass replacement quotes.

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