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Manager Data Analytics Business Intelligence Jobs in Colorado

Aegon

Manager, Business Intelligence

Denver, CO · On-site

Summary Facilitate and manage activities of the Data and Analytics Business Intelligence team, supporting the ongoing development of technical architecture, self-service reporting solutions, and BI ...

HCVT

Senior Data & Analytics Specialist

Denver, CO · Hybrid

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... This role combines expertise in data engineering, business intelligence, advanced analytics, and ...

HCVT

Senior Data & Analytics Specialist

Denver, CO · Hybrid

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... This role combines expertise in data engineering, business intelligence, advanced analytics, and ...

HCVT

Senior Data & Analytics Specialist

Denver, CO · On-site

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... This role combines expertise in data engineering, business intelligence, advanced analytics, and ...

Tech Insights

Data Analytics Manager

Greenwood Village, CO · On-site

$125 - $150/hr

As our Data & Analytics Manager, you will lead a team of analysts to deliver high-impact analytics ... Expert proficiency in data visualization and business intelligence tools; Tableau Cloud experience ...

TechInsights

Data Analytics Manager

Denver, CO · On-site

$140K - $149K/yr

As our Data & Analytics Manager, you will lead a team of analysts to deliver high-impact analytics ... Expert proficiency in data visualization and business intelligence tools; Tableau Cloud experience ...

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Manager Data Analytics Business Intelligence information

What is the difference between Manager Data Analytics Business Intelligence vs Data Analyst?

AspectManager Data Analytics Business IntelligenceData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Business Analytics, or related field; often leadership experienceBachelor's in Statistics, Mathematics, or related field; entry to mid-level experience
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersAnalyzes data, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for strategic insightsCommon across various industries for data interpretation

The main difference is that a Manager Data Analytics Business Intelligence leads teams and manages projects, focusing on strategic insights, while a Data Analyst primarily analyzes data and prepares reports. Managers have more leadership responsibilities and require broader experience, whereas Data Analysts focus on technical data tasks.

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

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

Manager Data Analytics Business Intelligence jobs near you

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

AEG

Denver, CO • On-site

$150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 hours ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
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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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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