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Manager Of Data Analytics Jobs in Colorado (NOW HIRING)

AI Data Analytics Engineer

Fort Collins, CO ยท On-site

$102K - $146K/yr

BillGO is building the next generation of payments. Our vision is to be the payment accelerator for ... We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI ...

Data Analyst Senior

Denver, CO ยท On-site +1

$107K - $155K/yr

Working under the guidance of Data Analytics team leaders to develop custom data models and algorithms to apply to data sets. Develop predictive analytics, machine learning, and artificial ...

... data analytics for informed decision making, dashboards, report generation and overall project ... Knowledge of data governance, metadata management, and quality assurance practices * Understanding ...

Manager, Analytics

Denver, CO ยท On-site

$99K - $124K/yr

Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics solutions across clinical, operational, and financial domains. * Manage team operations, including ...

Data Governance- Manager

Denver, CO ยท On-site

$99K - $232K/yr

... to: Analyse and identify the linkages and interactions between the component parts of an entire ... data-driven strategies that drive business growth and enhance decision-making. As a Manager, you ...

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

... Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 3-5 Years of ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

Job Title Manager Data Platform Engineering As the Data Platform Engineering Manager (Governance ... Adoption & Enablement * Support adoption of the data platform and self-service analytics ...

Manager, Analytics

Denver, CO ยท On-site

$99K - $124K/yr

Lead, mentor, and develop a team of data analysts focused on delivering enterprise-level analytics solutions across clinical, operational, and financial domains. * Manage team operations, including ...

Showing results 21-40

Manager Of Data Analytics information

See Colorado salary details

$32.6K

$102.1K

$180.9K

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

As of Aug 10, 2026, the average yearly pay for manager of data analytics in Colorado is $102,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $132,000.00 per year, depending on experience, location, and employer.

What does a manager of data analytics do?

A Manager of Data Analytics oversees a team responsible for collecting, analyzing, and interpreting large data sets to help organizations make informed business decisions. They develop data strategies, ensure data quality, and collaborate with other departments to identify opportunities for leveraging data-driven insights. Their role typically includes managing analytics projects, mentoring team members, and communicating findings to stakeholders in a clear and actionable manner.

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

To thrive as a Manager of Data Analytics, you need strong analytical abilities, expertise in data modeling, and a solid background in statistics or computer science, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms such as Python or R, along with experience in project management systems, is typically required. Excellent leadership, communication, and problem-solving skills help you effectively manage teams and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive business performance and innovation.

Is data analytics a high paying job?

Data analytics roles, including Manager of Data Analytics, tend to offer competitive salaries that are above average for many industries. Factors such as experience, certifications, and proficiency with tools like SQL and Python influence earning potential, which can increase with leadership responsibilities and advanced skills.

What are the typical challenges faced by a manager of data analytics when leading a diverse analytics team?

A Manager of Data Analytics often encounters challenges such as aligning team members with varying technical backgrounds, ensuring clear communication of complex data insights to non-technical stakeholders, and balancing multiple project priorities. Additionally, fostering a culture of continuous learning is essential due to the rapid evolution of analytics tools and methodologies. Successful managers address these challenges by promoting collaboration, setting clear expectations, and providing ongoing professional development opportunities.

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

AspectManager Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often some management experienceBachelor's degree in related field; entry to mid-level role
Work EnvironmentLeads teams, manages projects, collaborates with senior managementAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries to oversee analytics teams and strategiesCommonly employed to perform data analysis tasks within organizations

The main difference is that the Manager Of Data Analytics oversees analytics teams and strategies, requiring leadership skills and management experience, while Data Analysts focus on analyzing data and generating reports. The manager role involves higher-level responsibilities and team coordination, whereas data analysts execute specific data tasks to support business decisions.

What are the most commonly searched types of Of Data Analytics jobs in Colorado? The most popular types of Of Data Analytics jobs in Colorado are:
What cities in Colorado are hiring for Manager Of Data Analytics jobs? Cities in Colorado with the most Manager Of Data Analytics job openings:

AI Data Analytics Engineer

BillGO, Inc.

Fort Collins, CO โ€ข On-site

$102K - $146K/yr

Full-time

Posted 26 days ago


Job description

BillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence.
We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics that speed up internal decision-making to AI-native features that turn data into value for Small Businesses. This is a hands-on role that blends analytics engineering with applied AI at the center of BillGO's AI-native strategy.
You will sit within BillGO's Data Platform & Intelligence organization, partnering closely with Application Engineering, Platform Engineering, and Product to move data and AI capabilities from idea to production. Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software.
WHAT YOU WILL OWN:
  • The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools.
  • Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business.
  • Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences.
  • Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production.
  • Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost.
  • Responsible and secure use of data and AI appropriate for a regulated payments environment.
  • Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs.

WHAT WE ARE LOOKING FOR:
  • 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development.
  • Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar.
  • Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability.
  • Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices.
  • Experience with data pipelines and both structured and unstructured data.
  • Fintech, payments, or regulated-industry experience is a plus but not required.
  • Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams.