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Senior Manager Data Analytics Jobs in Kansas (NOW HIRING)

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

... Adobe Analytics, Google Campaign Manager 360). * Strong working knowledge of SQL and cloud data ... senior internal stakeholders and clients. * Proactive, self-motivated, deals well with ambiguity ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

... Adobe Analytics, Google Campaign Manager 360). * Strong working knowledge of SQL and cloud data ... senior internal stakeholders and clients. * Proactive, self-motivated, deals well with ambiguity ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

... Adobe Analytics, Google Campaign Manager 360). * Strong working knowledge of SQL and cloud data ... senior internal stakeholders and clients. * Proactive, self-motivated, deals well with ambiguity ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

... Adobe Analytics, Google Campaign Manager 360). * Strong working knowledge of SQL and cloud data ... senior internal stakeholders and clients. * Proactive, self-motivated, deals well with ambiguity ...

Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... senior leaders and external clients. * Effective people leader and strong stakeholder manager. Able ...

Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... senior leaders and external clients. * Effective people leader and strong stakeholder manager. Able ...

Senior Analytics Specialist About the Role Lead complex analytics initiatives that drive strategic ... data solutions * Design and execute launch strategies including training, change management, and ...

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

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Showing results 1-20

Senior Manager Data Analytics information

See Kansas salary details

$38K

$108.6K

$174.2K

How much do senior manager data analytics jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior manager data analytics in Kansas is $108,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $124,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Manager Data Analytics, and why are they important?

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a Senior Manager Data Analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a Senior Manager of Data Analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

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

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Kansas? For Senior Manager Data Analytics jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Senior Manager Data Analytics jobs? Cities in Kansas with the most Senior Manager Data Analytics job openings:
Senior Director, Data & Analytics Engineering

Senior Director, Data & Analytics Engineering

Quality Technology Services, LLC

Overland Park, KS

Other

Posted 3 days ago


Job description

As the Senior Director of Data & Analytics Engineering, you will serve as a senior technology leader responsible for defining and executing the enterprise vision, strategy, and operating model for data and analytics engineering across QTS. You will provide strategic leadership for the architecture, governance, scalability, and modernization of the enterprise data ecosystem, ensuring data becomes a foundational asset that accelerates business growth, operational excellence, and AI-driven innovation.

This role leads multiple teams and technical leaders responsible for building and operating modern, AI-enabled data platforms that power enterprise analytics, business operations, executive decision-making, and future digital capabilities. You will shape long-term data and AI investments, influence enterprise technology strategy, and partner closely with executive leaders across Product, Technology, Finance, Operations, and Business Functions to transform how data is sourced, governed, activated, and consumed across the organization.

As a key leader within the Enterprise Data & Analytics organization, you will establish strategic priorities, develop organizational capability, and champion modern engineering practices that position QTS to scale effectively while maximizing the value of data, analytics, and artificial intelligence.


What You Will Do: (Job Responsibilities)

  • Define and drive the long-term enterprise vision and strategy for data and analytics engineering, ensuring alignment with corporate growth objectives, digital transformation initiatives, and business strategy.
  • Serve as a trusted advisor to executive leadership, influencing enterprise decisions related to data, analytics, AI, governance, and technology investments.
  • Establish organizational priorities, operating models, and investment strategies that optimize platform scalability, business value delivery, and technology modernization.
  • Lead and develop a multi-layered organization of engineering managers, architects, and technical leaders, building leadership bench strength and succession plans for critical roles.
  • Design and evolve the organizational structure, talent strategy, and operating model required to support rapid business growth and emerging technology needs.
  • Manage departmental budgets, vendor relationships, and strategic technology investments to ensure effective allocation of resources and achieve business outcomes.
  • Drive enterprise-wide adoption of data products, governance standards, AI capabilities, and self-service analytics through partnership with senior business and technology leaders.
  • Establish and champion enterprise standards, architectural principles, and data governance frameworks that enable consistency, compliance, and scalability across business functions.
  • Represent the Data & Analytics function in executive forums, strategic planning sessions, and enterprise transformation initiatives.
  • Other duties as assigned.
  • Min. 11 years of experience in data engineering, analytics engineering, or data platform leadership, including 5+ years leading managers or senior technical teams.
  • 15+ years of progressive experience in data engineering, analytics engineering, data platforms, or enterprise technology leadership, including 8+ years leading managers, senior leaders, and large-scale engineering organizations.
  • Demonstrated success defining and executing enterprise-wide data, analytics, or digital transformation strategies across complex, rapidly scaling organizations.
  • Experience leading through multiple layers of leadership, including managers, senior managers, architects, and technical leads.
  • Proven ability to influence executive stakeholders and drive alignment across business, product, operations, and technology organizations.
  • Experience managing significant budgets, technology investments, vendor relationships, and strategic sourcing decisions.
  • Track record of building and scaling high-performing organizations while driving organizational change, capability development, and succession planning.
  • Experience presenting technology strategies, business cases, investment recommendations, and transformation roadmaps to executive leadership teams and Board-level audiences.
  • Deep expertise in architecting, scaling, and governing modern cloud-based data platforms, including data warehousing, ingestion, transformation, semantic modeling, and data product frameworks, with extensive experience leveraging technologies such as Snowflake, Fivetran, dbt, and contemporary ELT ecosystems.
  • Demonstrated expertise in modern streaming and near-real-time data architectures, including Kafka, CDC, and dynamic data processing patterns, with the ability to evaluate, prioritize, and implement solutions that enable business agility and data-driven decision-making.
  • Extensive experience with software engineering best practices and agile delivery (sprint planning, code review, testing, CI/CD, on-call, postmortems).
  • Strong understanding of enterprise analytics and data consumption strategies, including BI and visualization platforms such as Tableau, Looker, or similar tools, with the ability to influence stakeholders and align analytical capabilities to business objectives.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.