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Product Manager Data Analytics Jobs in Colorado (NOW HIRING)

Manager, Data Science

Denver, CO ยท On-site

$158 - $185/hr

... production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for ...

Experience managing data products, analytics products, business intelligence solutions, or enterprise data initiatives. * Strong understanding of data warehousing, data engineering, data modeling ...

Serve as a key bridge between Product, Engineering, and Professional Services to bring potential ... Knowledge of Salesforce data structures (or similar CRM-related experience) * Working knowledge of ...

Product Manager We are hiring a Product Manager to help drive execution across our product roadmap ... Conduct user research through interviews, surveys, and data analysis to inform product decisions ...

Manager, Data Science

Denver, CO ยท On-site

$158K - $185K/yr

... production, the desire to serve as a leader and manager across the department, ability to evangelize data science, and willingness to provide descriptive analyses. You will also be responsible for ...

Product Manager

Louisville, CO ยท On-site

$138K - $148K/yr

What You Will Do The Product Manager will own the product strategy and roadmap for Alchemer's analytics and data visualization products. This role blends strategic, forward-looking work of product ...

Product Manager

Louisville, CO ยท On-site

$138K - $148K/yr

What You Will Do The Product Manager will own the product strategy and roadmap for Alchemer's analytics and data visualization products. This role blends strategic, forward-looking work of product ...

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... Experience building production machine learning or advanced analytics solutions. * Master's Degree ...

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... Experience building production machine learning or advanced analytics solutions. * Master's Degree ...

What We Do and Who We Serve We offer Tax, Audit, Advisory, and Business Management services to our ... Experience building production machine learning or advanced analytics solutions. * Master's Degree ...

Showing results 21-40

Product Manager Data Analytics information

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.

How does a product manager data analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

What are the key skills and qualifications needed to thrive as a product manager data analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

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

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

Do product managers do data analysis?

Product managers often perform data analysis to inform product decisions, track performance metrics, and understand user behavior. They use tools like SQL, Excel, or analytics platforms to interpret data and prioritize features, but they typically collaborate with data analysts or data scientists for complex analysis. Strong analytical skills are valuable in this role to support data-driven decision-making.

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

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

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

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

Infographic showing various Product Manager Data Analytics job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Analytics Lead

Primeritus Financial Services

Denver, CO โ€ข On-site, Remote

Full-time

Posted 2 days ago

New


Job description

Primeritus Financial Services is a national provider of repossession management, remarketing, titled, and skip tracing services to the automotive finance industry in the United States and Puerto Rico. Primeritus provides clients with value-added, outsourced repossession management skip tracing investigations, and remarketing services by leveraging a national network of certified agents and unique investigative techniques to quickly and reliably secure customers' collateral. Through effective leadership, service, and performance, Primeritus Financial Services offers the trifecta of repossession services: locate, recover, and remarket.
The Data Analytics Lead shapes how Primeritus uses data. This person architects our BI and analytics platform, teaches business users to think more broadly about their data and find their own answers, and leads a small reporting/analyst team. Success is measured less by the volume of analysis this person personally produces, and more by how well-equipped the business becomes to use data on its own - alongside a scalable analytics architecture and a growing team. This position is remote and open to candidates located in the Denver, CO; Dallas, TX; Nashville, TN; and Raleigh, NC markets.
Key Responsibilities
Data Education & Enablement
โ€ข Teach and coach business users on data best practices - how to frame the right questions, interpret results correctly, and avoid common analytical pitfalls.
โ€ข Help teams look more broadly at their data: encourage thinking beyond the immediate ask to underlying trends, context, and root causes.
โ€ข Build reusable frameworks, documentation, and training materials that raise the analytical maturity of the organization over time.
โ€ข Partner with product, analytics, and leadership teams to translate one-off questions into repeatable, self-service answers.
โ€ข Step in personally on complex or ambiguous analysis when needed, modeling best practice for others to learn from.
BI & Analytics Architecture
โ€ข Own the target-state vision for Primeritus's BI/analytics architecture and set the roadmap to get there.
โ€ข Design and evolve data models, reporting structures, and integrations that support product platforms, analytics, and regulatory requirements.
โ€ข Expand self-service analytics capabilities - including natural-language and AI-assisted query tools - so business users can access and explore their own data with less dependence on the BI team.
โ€ข Evaluate and recommend BI/analytics tooling and platform improvements as the business and data needs grow.
โ€ข Monitor, optimize, and troubleshoot reporting and data processing performance.
Leadership & Mentorship
โ€ข Lead a small team of reporting/analyst team members - providing direction, technical coaching, and career development.
โ€ข Review the team's analysis and reporting work for accuracy, clarity, and business relevance.
โ€ข Serve as the go-to technical authority on analytics and data-related decisions across product and technology teams.
Governance & Compliance
โ€ข Define and enforce data governance standards, including data quality, lineage, and metadata management.
โ€ข Ensure architecture and reporting practices support financial-industry compliance, security, privacy, and auditability requirements.
โ€ข Collaborate with security, risk, and compliance partners to embed controls into architecture and reporting.
Technical Skills & Capabilities
Core Technologies
โ€ข 8+ years of experience in BI development, data analysis, or analytics architecture.
โ€ข Strong expertise in TSQL, Power BI, and DAX; SSIS/SSAS experience a plus.
โ€ข Experience with Azure Data Services (ADF, Azure SQL Database, Synapse) or an equivalent cloud data platform.
โ€ข Solid understanding of data warehouse and reporting architecture.
โ€ข Experience resolving complex data quality and performance issues.
AI & Emerging Technology
โ€ข Experience using AI/LLM tools to accelerate analysis, reporting, or documentation (e.g., Copilot in Power BI, AI-assisted SQL or DAX generation).
โ€ข Understanding of how natural-language/AI query interfaces work over structured data, sufficient to architect, evaluate, and govern them.
โ€ข Comfort piloting and assessing emerging AI tooling for BI and self-service analytics, and separating real capability from hype.
Analytics, Communication & Teaching
โ€ข Ability to analyze large, complex datasets and translate them into meaningful, decision-ready insights.
โ€ข Strong reporting and visualization skills using Power BI, Power Apps, and Excel.
โ€ข Excellent written and verbal communication skills; able to explain technical concepts to non-technical audiences.
โ€ข Experience training, coaching, or upskilling business users on data literacy or analytical best practices.
โ€ข Demonstrated ability to tell clear, compelling stories from data.
Qualifications
Required
โ€ข Bachelor's or Master's degree in Computer Science, Statistics, Data Analytics, or a related field (or equivalent experience).
โ€ข 5+ years of experience developing analytics, data platforms, or decision-support solutions.
โ€ข Experience in financial services or another highly regulated industry.
โ€ข Experience mentoring or providing technical direction to reporting/analyst staff.
โ€ข Experience teaching or coaching non-technical business users on how to work with and interpret data.
Preferred
โ€ข Experience supporting product-led or platform-based organizations.
โ€ข Familiarity with cloud-native analytics ecosystems.
โ€ข Relevant cloud, data architecture, or analytics certifications.
Success Looks Like
โ€ข Business users ask sharper questions and think more broadly about their data, rather than relying solely on the BI team.
โ€ข Executives and business teams rely on trusted, timely, data-driven insight to guide decisions.
โ€ข The BI/analytics architecture scales with business growth and regulatory change.
โ€ข Business users increasingly self-serve data and answers, reducing ad hoc load on the BI team.
โ€ข The team members grow in capability and confidence under this person's mentorship.
Primeritus is an Equal Opportunity employer and all qualified applicants will receive consideration to employment without regard to race, color, religion, gender, pregnancy, sexual orientation, national origin, age, or protected veteran or disability status.