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Analytics Manager Jobs in Colorado (NOW HIRING)

Customer Analytics Manager Job Location: Anywhere in USA, Denver, Colorado, United States Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the ...

Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday ...

Ibotta is looking for a Data Science Manager, Marketing Analytics to join our fast-growing team. This position is located in Denver, Colorado, as a hybrid position requiring 3 days in office (Tuesday ...

The Sales Analyst Manager is responsible for leading a team delivering exceptional, differentiated client experience while supporting clients' product needs in close partnership with the Sales teams.

The Sales Analyst Manager is responsible for leading a team delivering exceptional, differentiated client experience while supporting clients' product needs in close partnership with the Sales teams.

Customer Analytics Senior Manager Job Location: Anywhere in USA Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the Communications, Media & Technology ...

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Showing results 1-20

Analytics Manager information

See Colorado salary details

$67.8K

$131.8K

$188.2K

How much do analytics manager jobs pay per year?

As of Jun 10, 2026, the average yearly pay for analytics manager in Colorado is $131,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $156,700.00 per year, depending on experience, location, and employer.

What Is an Analytics Manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

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

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.
What are the most commonly searched types of Analytics jobs in Colorado? The most popular types of Analytics jobs in Colorado are:
What cities in Colorado are hiring for Analytics Manager jobs? Cities in Colorado with the most Analytics Manager job openings:

Manager - Capital Forecasting, Balance Sheet Forecasting & Analytics

Charles Schwab Inc.

Lone Tree, CO • On-site

$85K - $174K/yr

Full-time

Posted 6 days ago


Job description

Your Opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
The Balance Sheet Forecasting & Analytics team sits within our first line of defense Corporate Treasury department. Balance Sheet Forecasting & Analytics is responsible for forecasting the balance sheets, Net Interest Income (NII) and capital actions in our business-as-usual FP&A and CCAR exercises. The team forecasts balance sheets with approximately $490 billion in consolidated assets, comprised of fixed-income investment portfolios totaling over $225 billion, consumer loan portfolios with approximately $165 billion in balance, an additional $70 billion in off-balance-sheet brokered deposit agreement notional investments, and $50 billion in derivative positions. The Balance Sheet Forecasting and Analytics responsibilities roll up to our Treasury Capital Markets (TCM) organization, which includes: ALM, fixed income investing and other balance sheet modeling activities.
Reporting to the Director, Balance Sheet Forecasting and Analytics, this role serves as a hands-on individual contributor responsible for executing and enhancing key components of Capital Stress Testing (CST) forecasting framework and supporting the evolution of analytical and reporting capabilities.
You will contribute directly to the firm's capital forecasting processes supporting the Comprehensive Capital Analysis and Review (CCAR) and internal stress testing. This includes developing, refining, and executing forecast methodologies for capital, balance sheet, and income statement drivers under baseline and regulatory stress scenarios.
The role requires strong analytical rigor, attention to detail, and persistence to navigate complex data, dependencies, and tight timelines. You will partner closely with Treasury, Finance, Risk, and Model Risk teams to ensure forecasts are well-controlled, transparent, and audit-ready; while producing clear and actionable analytics for management and regulatory audiences.
Success in this role requires flexibility, intellectual curiosity, and grit - operating effectively in ambiguity while driving high-quality outcomes in a dynamic and evolving environment.
What you have
  • 5+ years relevant experience with an emphasis on a mix of the following: ALM, fixed income analytics, capital markets, CCAR/stress testing, market risk, or relevant Treasury-related functions, analytics, reporting
  • Bachelor's degree required. Master's degree or CFA preferred
  • Experience with CCAR process, including forecasting, reporting, governance, and regulatory/audit support
  • Strong understanding of bank balance sheet forecasting, regulatory capital framework concepts (e.g., CET1, RWA, leverage ratio)
  • Expertise with Polypaths ALM, QRM, or other NIR forecasting platforms required
  • Strong analytical and problem-solving skills with demonstrated attention to detail and data accuracy
  • Ability to manage multiple priorities and deliver high-quality outputs under time constraints with persistence and accountability
  • Effective communication skills, with the ability to translate complex analyses into clear, concise insights

What you'll do:
  • Own delivery of capital forecast deliverables for CCAR (e.g., CET1, RWA, leverage exposure, capital actions) across baseline and supervisory severely adverse scenarios, ensuring accuracy, completeness, and alignment with upstream inputs
  • Develop and maintain capital forecasting methodologies, assumptions, and overlays; document rationale, limitations, sensitivities, and change history
  • Partner across CCAR workstreams (PPNR, balance sheet, credit, market risk, operational risk, Treasury) to understand dependencies and ensure consistency of assumptions and downstream impacts
  • Produce detailed attribution analysis explaining capital ratio movements, supported by data-driven insights and clear narrative for management and regulatory review
  • Execute governance and control activities, including reconciliations and reasonableness checks, issue tracking, and audit-ready documentation with strong attention to detail
  • Partner with Model Risk Management on model inventory, validation support, performance monitoring, and remediation plans for forecast and capital-related models.
  • Support CCAR submission and review materials, including capital exhibits and worksheets and regulatory reporting; respond to ad hoc information requests with accurate, well-supported, and timely analysis
  • Identify and drive process improvements, automation opportunities, and enhancements to analytical frameworks
  • Demonstrate flexibility by adapting to shifting timelines, regulatory expectations, and business needs
  • Perform other duties as assigned, with the expectation that responsibilities may evolve over time

Ways of Working
  • High attention to detail and commitment to data quality and control integrity
  • Analytical mindset with the ability to break down complex problems into structured solutions
  • Grit and perseverance to work through ambiguity and deliver results under pressure
  • Strong collaboration and influence skills in a cross-functional environment
  • Flexibility and adaptability as priorities and responsibilities evolve

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.