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Manager Of Data Analytics Jobs in Colorado (NOW HIRING)

Stio

Data Analyst

Denver, CO · Remote

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Ibotta, Inc

Manager, Data Science

Denver, CO · On-site

$158K - $185K/yr

Balance the management of core data & analytics deliverables * Serve as a leader across the ... department, bringing operational and culture building best practices * Research industry trends and ...

Pwc

Data Strategy-Manager

Denver, CO · On-site

$99K - $232K/yr

The Opportunity As part of the Data and Analytics team, you will lead the development and ... As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

... Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 Years of ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

US Bank

Data & Analytics Product Lead

Denver, CO · Hybrid

Product ownership, roadmap management, prioritization, and delivery of data and analytics products. * Business intelligence, reporting, analytics, and workflow automation solutions. * Stakeholder ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/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 ...

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All JobsOf Data Analytics JobsManager Of Data Analytics JobsManager Of Data Analytics Jobs in Colorado

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:
Manager Of Data Analytics jobs near you

Manager of Data Engineering

Summit Utilities Inc

Denver, CO • On-site

Full-time

Medical, Dental, Vision

Posted 17 days ago

Job description

Join our growing team and discover why Summit Utilities, Inc. continues to earn national and regional recognition as an employer of choice. Our recognitions include Best Places to Work in Maine (2019–2025); Best Places to Work in Arkansas (2020, 2023, 2025); Best Places to Work in Oklahoma (2022–2025); Best Places to Work in Missouri (2023 and 2026); Best Places to Work in Colorado (2025); Forbes America’s Best Small Employers (2023); and, most recently, Proud and Purposeful Employer (2026).


Summit is a growing natural gas utility that’s committed to delivering reliable energy to homes and businesses in Arkansas, Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit team means embracing excellence and innovation, committing to safety each and every day, and doing all that we can to serve each other, our customers, and the communities where we live. We aim to bring warmth and energy to everything we do.


We are pleased to announce an exciting hybrid opportunity for a Manager of Data Engineering (SGL35) based in Denver, CO.

POSITION SUMMARY

A Manager of Data Engineering leads and mentors the data engineering team, overseeing the design, development, implementation, and maintenance of scalable and robust data infrastructure and pipelines. Successful candidates are strategic thinkers, possess strong leadership qualities, and are adept at managing complex data projects in a fast-paced environment. They are responsible for ensuring data quality, integrity, and accessibility across the enterprise. A Manager of Data Engineering collaborates daily with IT leadership, data engineers, scientists, analysts, and business stakeholders to define data strategy, address data needs, and drive data-informed decision-making. They must foster a culture of innovation and continuous improvement within the data engineering team.

PRIMARY DUTIES AND RESPONSIBILITIES

  • Lead, manage, and mentor a team of data engineers and analysts, fostering their professional growth and development.
  • Oversee the architecture, design, and implementation of enterprise-level data warehousing, data lakes, and data pipeline solutions.
  • Define and enforce data engineering best practices, standards, and methodologies.
  • Collaborate with cross-functional teams, including data science, business intelligence, and application development, to understand data requirements and deliver effective solutions.
  • Ensure the reliability, scalability, and performance of data infrastructure and systems.
  • Develop and implement strategies for data quality management, data governance, and data security.
  • Manage the full lifecycle of data engineering projects, including planning, execution, monitoring, and delivery.
  • Evaluate and recommend new technologies, tools, and techniques to enhance data engineering capabilities.
  • Drive automation of data processes to improve efficiency and reduce manual intervention.
  • Communicate effectively with technical teams and business stakeholders regarding project status, risks, and outcomes.
  • Establish and monitor key performance indicators (KPIs) for the data engineering team and data systems.
  • Troubleshoot and resolve complex data-related issues in a timely manner.
  • Develop and manage the budget for the data engineering department.
  • Stay current with industry trends and advancements in data engineering and big data technologies.
  • Champion a data-driven culture within the organization.

EDUCATION AND WORK EXPERIENCE

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field is preferred, or a combination of education and equivalent experience.
  • 7+ years’ experience in data engineering, with a proven track record of designing and implementing complex data solutions.
  • 3+ years’ experience in a leadership or managerial role, successfully leading and developing data engineering teams.

KNOWLEDGE, SKILLS, ABILITIES

  • Strong leadership, team-building, and interpersonal skills.
  • Expertise in data modeling, ETL/ELT development, and data warehousing concepts (e.g., Kimball, Inmon).
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with big data technologies (e.g., Apache Spark, Hadoop, Kafka, Flink).
  • Deep understanding of cloud-based data platforms and services (e.g., AWS Redshift, S3, Glue; Azure Synapse, Data Lake Storage, Data Factory; Google BigQuery, Cloud Storage, Dataflow).
  • Proficient in SQL and experience with various database technologies (e.g., relational, NoSQL, columnar).
  • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
  • Solid understanding of data governance, data quality, data lineage, and data security principles and practices.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong project management skills, with the ability to manage multiple priorities and deadlines.
  • Exceptional communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
  • Experience with DevOps and DataOps methodologies and tools (e.g., CI/CD, infrastructure-as-code).
  • Familiarity with business intelligence tools (e.g., Power BI, Tableau) and their data integration needs.
  • Strategic mindset with the ability to align data engineering initiatives with overall business objectives.

Salary based on experience $105K to $131K USD Annually.

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and/or skills required of all personnel so classified.

Summit offers competitive pay and medical/dental/vision and other benefits that provide flexibility, choice, and support to our employees when they need it most. We understand that home and family are essential pieces of your life, and our benefits are designed to support you both at work and at home.

Summit Utilities, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected veteran status and will not be discriminated against on the basis of disability or veteran status.