Agile Data Product Owner
About The Position
Lead daily scrum meetings and facilitate agile ceremonies such as sprint planning, reviews, and retrospectives. Champion agile principles and practices within the team to foster a culture of continuous improvement and collaboration. Manage the product backlog, prioritize user stories, and ensure the development team has a clear understanding of the work to be done. Collaborate with stakeholders to conduct in-depth requirement analysis for data analytics projects. Translate business requirements into clear and concise technical specifications and user stories. Perform hands-on data analysis using SQL and/or Python to validate assumptions, identify trends, and provide actionable insights. Develop and execute user acceptance testing (UAT) plans to ensure the final product meets business expectations.
Requirements
- Bachelor's degree in a relevant field such as Computer Science, Information Systems, Statistics, or Business
- 3-5 years of experience in a role that involves agile methodologies, requirement analysis, and data analysis
- Proven experience in running agile ceremonies (e.g., daily scrums, sprint planning)
- Strong proficiency in data analysis using SQL or Python
- Advanced proficiency in Microsoft Excel, including pivot tables, complex formulas, lookups (VLOOKUP, HLOOKUP, INDEX/MATCH), and creating charts
- Hands-on experience with Atlassian tools (Jira and Confluence), including creating and managing scrum boards, generating reports, and building dashboards
- Experience in writing test cases and conducting user acceptance testing
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical audiences
- Strong analytical and problem-solving skills with a keen attention to detail
- Certification in Agile methodologies (e.g. Certified ScrumMaster (CSM), Professional Scrum Master (PSM), or Certified Scrum Product Owner (CSPO))
- Experience working in a data-driven environment, with a good understanding of data warehousing, ETL processes, and business intelligence tools
- Familiarity with data visualization tools such as Tableau, Power BI, or Qlik
Responsibilities
- Lead daily scrum meetings
- Facilitate agile ceremonies such as sprint planning, reviews, and retrospectives
- Champion agile principles and practices within the team
- Manage the product backlog
- Prioritize user stories
- Ensure the development team has a clear understanding of the work to be done
- Collaborate with stakeholders to conduct in-depth requirement analysis for data analytics projects
- Translate business requirements into clear and concise technical specifications and user stories
- Perform hands-on data analysis using SQL and/or Python to validate assumptions, identify trends, and provide actionable insights
- Develop and execute user acceptance testing (UAT) plans to ensure the final product meets business expectations
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
