

Horizontal Talent
Data Product Owner/Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Product Owner/Analyst, offering a hybrid work environment with a contract length of "unknown" and a pay rate of $33 - $67 per hour. Key skills include experience in financial services, SAFe Agile practices, and proficiency in SQL, Python, or R.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
536
-
🗓️ - Date
December 12, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Greenwood Village, CO
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🧠 - Skills detailed
#Data Modeling #R #Visualization #Azure #Cloud #"ETL (Extract #Transform #Load)" #Agile #Tableau #Stories #SQL (Structured Query Language) #AWS (Amazon Web Services) #BI (Business Intelligence) #Microsoft Power BI #Python #Data Governance #AI (Artificial Intelligence) #Data Engineering
Role description
We are seeking a skilled Data Product Owner/Analyst to join our dynamic team. This role offers an exciting opportunity to lead data-driven projects and collaborate with cross-functional teams in a hybrid work environment.
Responsibilities
• Define and prioritize product features and requirements based on business needs and user feedback.
• Collaborate with data engineering and analytics teams to ensure effective data governance and reporting capabilities.
• Manage the product backlog and oversee all stages of product creation, from design to development.
• Conduct market research to identify customer needs and industry trends, translating them into actionable user stories.
• Lead Agile ceremonies and foster alignment across delivery teams, including stakeholders from data and infrastructure.
• Monitor and evaluate product progress, making data-driven decisions to enhance user experience.
Skills
• Proven experience as a Product Owner in enterprise environments, particularly in financial services or cloud transformation.
• Strong understanding of SAFe Agile practices and experience in scaled Agile frameworks.
• Proficiency in data analytics tools such as SQL, Python, or R.
• Excellent communication skills, with the ability to convey complex technical concepts to diverse audiences.
Preferred Skills
• Familiarity with data visualization tools like Tableau or Power BI.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• A background in data modeling and analytics tools.
• Ability to synthesize complex data into clear product requirements.
We are committed to fostering an inclusive environment where diverse perspectives are valued and encouraged. We believe that a diverse workforce drives innovation and success, and we welcome applicants from all backgrounds to apply.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $33 - $67 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.
We are seeking a skilled Data Product Owner/Analyst to join our dynamic team. This role offers an exciting opportunity to lead data-driven projects and collaborate with cross-functional teams in a hybrid work environment.
Responsibilities
• Define and prioritize product features and requirements based on business needs and user feedback.
• Collaborate with data engineering and analytics teams to ensure effective data governance and reporting capabilities.
• Manage the product backlog and oversee all stages of product creation, from design to development.
• Conduct market research to identify customer needs and industry trends, translating them into actionable user stories.
• Lead Agile ceremonies and foster alignment across delivery teams, including stakeholders from data and infrastructure.
• Monitor and evaluate product progress, making data-driven decisions to enhance user experience.
Skills
• Proven experience as a Product Owner in enterprise environments, particularly in financial services or cloud transformation.
• Strong understanding of SAFe Agile practices and experience in scaled Agile frameworks.
• Proficiency in data analytics tools such as SQL, Python, or R.
• Excellent communication skills, with the ability to convey complex technical concepts to diverse audiences.
Preferred Skills
• Familiarity with data visualization tools like Tableau or Power BI.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• A background in data modeling and analytics tools.
• Ability to synthesize complex data into clear product requirements.
We are committed to fostering an inclusive environment where diverse perspectives are valued and encouraged. We believe that a diverse workforce drives innovation and success, and we welcome applicants from all backgrounds to apply.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
Horizontal facilitates valuable and productive conversations between you and potential employers. We can assist you in growing your career by partnering you with employers that offer challenging assignments. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $33 - $67 per hour. This is not a guarantee of compensation, as final offer amount may vary based on factors including but not limited to experience and geographic location.






