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Analytics Jobs in Lenexa, KS (NOW HIRING)

CBIZ

People Analytics Analyst

Kansas City, MO · Hybrid

Respond to ad hoc data and analytics requests from HR partners, recruiters, finance teams, and business leaders by defining requirements, gathering and analyzing relevant data, and delivering clear ...

CBIZ, Inc.

People Analytics Analyst

Kansas City, MO · On-site

Respond to ad hoc data and analytics requests from HR partners, recruiters, finance teams, and business leaders by defining requirements, gathering and analyzing relevant data, and delivering clear ...

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Showing results 21-40

All JobsAnalytics JobsAnalytics Jobs in Lenexa, KS

Analytics information

See Lenexa, KS salary details

$60.5K

$117.6K

$168K

How much do analytics jobs pay per year?

As of Sep 8, 2026, the average yearly pay for analytics in Lenexa, KS is $117,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $139,900.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience and skills in tools like SQL, Python, and Tableau. Compensation varies by industry, location, and level of expertise, but it is considered a lucrative career option for those with strong analytical and technical abilities.

What cities near Lenexa, KS are hiring for Analytics jobs?

Cities near Lenexa, KS with the most Analytics job openings:

Analytics jobs near you
Infographic showing various Analytics job openings in Lenexa, KS as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, 1% Temporary, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $117,645 per year, or $56.6 per hour.

Director of Data, Analytics, and AI

memployersmins

Columbia, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Partner with business leaders to understand strategic objectives and translate them into data, analytics, and AI roadmaps.

  • Lead the organization's AI/ML practice, establishing standards for model development, validation, deployment, and lifecycle management.

  • Direct enterprise data architecture and data platform strategies to support analytics, AI, and operational needs.

Job description

Are you passionate about shaping the future of data, analytics, and artificial intelligence in a business-critical environment? MEM Insurance is seeking a visionary Director of Data, Analytics & AI to lead our enterprise data strategy, analytics capabilities, and AI/ML practice. In this highly visible leadership role, you will partner with executive and operational leaders across the organization to transform business priorities into data-driven solutions that create measurable impact.
 
As the leader of MEM's data and AI function, you will establish the strategy, governance, platforms, and practices that enable trusted decision-making across the enterprise. You will oversee the development of scalable data foundations, advanced analytics capabilities, and responsible AI initiatives while ensuring compliance within a regulated insurance environment. This role offers the opportunity to influence enterprise strategy, drive innovation, build high-performing teams, and help define how data and AI will shape the future of MEM Insurance.
 
Essential Duties and ResponsibilitiesEnterprise Strategy & Leadership
  • Own and continuously evolve MEM's enterprise data, analytics, and AI strategy to align with business priorities, organizational goals, and risk management requirements.
  • Partner with Product Management and business leaders to understand strategic objectives and translate them into actionable data, analytics, and AI roadmaps.
  • Establish the long-term vision for data platforms, analytics environments, and AI/ML infrastructure, including build, buy, and partner decisions.
  • Identify and evaluate emerging AI capabilities and prioritize investments based on business value, organizational readiness, and risk-adjusted returns.
  • Maintain executive-level engagement through transparent communication of portfolio outcomes, delivery progress, and risk considerations.
AI & Analytics Leadership
  • Lead the organization's AI/ML practice, ensuring solutions are reliable, scalable, and deliver measurable business outcomes.
  • Establish enterprise standards for model development, validation, deployment, monitoring, and retirement.
  • Guide the evaluation, piloting, and deployment of generative AI and emerging AI technologies while balancing innovation with responsible governance.
  • Promote enterprise adoption of AI-enabled tools and opportunities that improve effectiveness, efficiency, and decision-making.
  • Define and oversee operational practices for machine learning including model management, monitoring, observability, and lifecycle governance.
Data Foundation & Architecture
  • Direct enterprise data architecture and data platform strategies that support analytics, AI, and operational business needs.
  • Ensure data engineering practices deliver high-quality, trusted, well-documented, and scalable data assets.
  • Partner with technology and operational leaders to maintain a unified data ecosystem that supports future growth and innovation.
  • Champion user-centered design with a strong focus on the usability and accessibility of analytics and data products.
Governance, Risk & Responsible AI
  • Lead enterprise data governance efforts, including data quality, lineage, stewardship, access controls, retention practices, and business glossaries.
  • Oversee the AI governance framework including model inventories, risk classification, validation standards, monitoring, explainability, and fairness assessments.
  • Ensure data and AI initiatives comply with applicable insurance regulations, emerging AI requirements, and internal governance standards.
  • Partner with Legal, Compliance, Risk, and other stakeholders to translate regulatory expectations into practical operational controls.
  • Identify and proactively manage technical, operational, regulatory, and reputational risks associated with data and AI initiatives.
Business Partnership & Delivery
  • Partner with leaders across underwriting, claims, actuarial, safety and risk services, and other business functions to deliver analytics and AI solutions that improve business outcomes.
  • Foster strong cross-functional relationships to ensure alignment between business priorities and technology investments.
  • Drive measurable value through data-informed decision-making and enterprise analytics initiatives.
Team Leadership & Talent Development
  • Lead, mentor, and develop a multidisciplinary team including product owners, data engineers, data scientists, analytics engineers, and business intelligence developers.
  • Create career development pathways, succession plans, and talent strategies that strengthen organizational capabilities.
  • Build a culture of innovation, accountability, collaboration, and continuous learning.
  • Develop future technical leaders through coaching, mentorship, and challenging growth opportunities.
 QualificationsEducation
  • Bachelor's degree in Computer Science, Data Science, Information Management, or a closely related field required.
  • Equivalent combinations of education and relevant professional experience will be considered.
Licenses
  • Valid driver's license
Experience
  • Proven track record of successful leadership in data, analytics, and artificial intelligence initiatives.
  • 3+ years of leadership experience, either through formal management responsibilities or significant leadership influence within complex initiatives.
  • Experience developing and executing enterprise data strategies and governance programs preferred.
  • Experience leading cross-functional teams and driving business transformation through data and analytics strongly preferred.
  • Experience operating within a regulated industry environment preferred.
 
Company Culture and Values
At MEM Insurance, we are committed to our vision, mission, and values. We foster a culture of collaboration, integrity, and innovation. Our team is passionate about delivering exceptional service to our customers while supporting each other’s growth and success. We believe in accountability, continuous learning, and creating an environment where employees feel valued and empowered.
 
 Diversity Statement
MEM Insurance is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that varied perspectives drive innovation and strengthen our ability to serve our customers and communities.
 
 Total Rewards Overview
  • Health Plans: Medical, Dental, and Vision
    Includes fertility benefits, fully paid preventative care, and adult orthodontia.
  • Annual Performance Based Bonus
  • Employer-Paid Life and Disability Benefits:
    Life Insurance (3x base salary), AD&D, Short and Long-term Disability.
  • Wellness and Recognition Program: Employer-paid incentives for employees and spouses.
  • Flexible Spending Account and Dependent Care options
  • Health Savings Account: Generous employer contribution.
  • Time Away from Work:
    Generous PTO, 11 Holidays + 4 Early Releases, 16 Hours Volunteer Time Off, 20 Days Paid Parental Leave, Marriage, Bereavement, and Jury Duty leave.
  • Employee Assistance Programs
  • 401k Retirement Plan: Employer match and profit sharing.
  • Adoption Assistance and Tuition Assistance
 
Notice Regarding Use of Artificial Intelligence
MEM may use artificial intelligence (AI) tools to more efficiently facilitate and assist in decisions involving recruitment, hiring, promotion, renewal of employment, selection for training or apprenticeship, discharge, discipline, tenure, or the terms, privileges, or conditions of employment. Any such use of AI tools will comply with all applicable laws.

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