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Senior Manager Data Analytics Jobs in Colorado (NOW HIRING)

Ball

Senior Manager, Data Management

Westminster, CO · On-site

The Senior Manager, Data Management leads the enterprise Data Management function encompassing ... Bachelor's degree required in Information Systems, Business Analytics, Computer Science, Business ...

Danone

Senior Manager, Data Architect

Louisville, CO · Hybrid

$105K - $140K/yr

Short Intro and About the Job The Senior BI Data Architect Manager acts as a subject matter expert in designing analytical approaches and leads the data-analytics teams in research, development, and ...

Danone

Senior Manager, Data Architect

Louisville, CO · Hybrid

$105K - $140K/yr

About the Job The Senior BI Data Architect Manager acts as a subject matter expert in designing analytical approaches and leads the data-analytics teams in research, development, and implementation ...

NuView Analytics

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... We do this in three ways - data analytics, data diligence, and fractional data science. Our clients ...

Walmart

(USA) Senior Manager, Data Science

Denver, CO

$132K - $264K/yr

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive models that drive strategic business decisions. This role requires expertise ...

Autodesk

Senior Manager, Data Security

Denver, CO · On-site +1

$117K - $161K/yr

The Senior Manager will partner closely with peer leaders across IAM, Network, SaaS, and Endpoint Security Engineering to ensure data-centric security controls are integrated across Autodesk's full ...

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All JobsData Analytics JobsSenior Manager Data Analytics JobsSenior Manager Data Analytics Jobs in Colorado

Senior Manager Data Analytics information

See Colorado salary details

$40.8K

$116.5K

$186.9K

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

As of Aug 14, 2026, the average yearly pay for senior manager data analytics in Colorado is $116,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $133,300.00 per year, depending on experience, location, and employer.

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

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 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 Colorado?

For Senior Manager Data Analytics jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Senior Manager Data Analytics jobs in Colorado look for?

The top searched job categories for Senior Manager Data Analytics jobs in Colorado are:

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

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

Senior Manager Data Analytics jobs near you
Infographic showing various Senior Manager Data Analytics job openings in Colorado as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $116,533 per year, or $56 per hour.

Title Sr. Manager, Data Engineering | Full-Time | Denver Tech Center

Oak View Group

Denver, CO • On-site

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Oak View Group rating

6.2

Company rating: 6.2 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

23rd of 36 rated event venues

Job description

Sr. Manager, Data Engineering | Full-Time | Denver Tech Center
Location US-CO-Denver
Job Post Information* : Posted Date 1 week ago(8/4/2026 4:17 PM)
Job ID 2026-33537
Category Marketing
Type Regular Full-Time
Location : Location US-CO-Denver
Job Post Information* : External Company Name Oak View Group
Job Post Information* : External Company URL https://www.oakviewgroup.com/
Location : Postal Code 80237
Location : Address 5050 S. Syracuse St, 8th Floor
Job Post Information* : Post End Date 11/6/2026
Overview

Oak View Group is hiring a Sr. Manager, Data Engineering based in Denver, CO, reporting to the Sr. Director, Data & Analytics. As we continue to grow and redefine the landscape of sports, live entertainment, and hospitality, Oak View Group is evolving the pivotal role of Sr. Manager, Data Engineering to lead both the development of our data platform and a growing team of data engineers. This individual will be instrumental in architecting and executing data strategies that empower our business with actionable insights, fostering a culture of data-driven decision-making across our global operations. The Sr. Manager, Data Engineering will bring deep technical expertise and strong people leadership to drive the development and optimization of our data infrastructure, systems, and analytics capabilities. They will employ agile methodologies to adapt to and anticipate the needs of our rapidly evolving business landscape, while ensuring team alignment, delivery excellence, and scalable growth of our data platform.

This role pays an annual salary of $150,000 and is bonus eligible.

Benefits for Full-Time roles: Health, Dental and Vision Insurance, 401(k) Savings Plan, 401(k) matching, and Paid Time Off (vacation days, sick days, and 11 holidays)

This position will remain open until November 6, 2026.

Responsibilities
  • Architect, develop, and optimize data pipelines, databases, and analytics platforms within Azure to support business intelligence, data science, and operational applications.
  • Lead and manage a team of 1-3 data engineers, providing mentorship, technical guidance, and performance management to drive high-quality execution and career development.
  • Own the data engineering roadmap, prioritizing integrations, platform enhancements, and scalability initiatives aligned with business goals.
  • Collaborate with stakeholders across the organization to understand data needs, deliver solutions that drive business value, and align efforts with the company's strategic objectives.
  • Implement and scale agile data engineering practices, adapting to business shifts and technological advancements with flexibility and foresight.
  • Champion a culture of data-driven decision-making, ensuring data quality, governance, and security standards are upheld.
  • Establish best practices for code quality, data modeling, testing, and deployment, improving the reliability and maintainability of the data platform.
  • Foster and manage relationships with external partners and vendors, ensuring seamless integration of their services and technologies into our data infrastructure to enhance our capabilities and drive innovation.
Qualifications
  • Bachelor's degree in computer science, engineering, or a related field.
  • 4-6+ years of data engineering experience.
  • Ability to manage a small team while remaining hands-on.
  • Proficient in data engineering tools, ETL processes, APIs, and data warehousing, with a proven ability to develop and manage efficient data pipelines.
  • Familiarity with Azure cloud services, showcasing the ability to utilize Azure's data services to create scalable and secure data solutions.
  • Effective collaboration with analytics, business intelligence, and IT teams to align data solutions with organizational objectives.
  • Experience with data governance, security practices, and compliance regulations.
  • Demonstrated experience in balancing multiple projects simultaneously, with a track record of meeting deadlines and business goals.
  • Strong communication skills, with the ability to translate technical concepts into business impact.
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