Product Insights Analyst
2 weeks ago
Position: Business Analyst
Location: Houston, Texas (on-site)
Type: Direct Hire
Salary: $100,000 - $105,000
Overview:
The Business Analyst plays a crucial role in the various stages of product development, from initial idea generation to deployment and ongoing enhancement. This position requires a keen ability to comprehend and document both existing and prospective business requirements, working collaboratively with internal teams and external partners to pinpoint and implement optimal IT solutions.
This role encompasses thorough analysis and documentation, alongside continuous collaboration and communication across different organizational levels to promote the adoption of data-driven business solutions.
Key Responsibilities:
- Collaborate closely with the Product Owner and project team to ensure a smooth integration of business processes with advanced data insights.
- Assist the Product Owner and project team throughout various product phases, including Process Analysis, Requirements Gathering, User Acceptance Testing, Training, Deployment, and Continuous Improvement.
- Ensure that data and analytics solutions align with user needs and the strategic objectives of the organization.
- Document current and emerging business requirements and collaborate with internal and external partners to define and deliver data and analytics solutions.
- Engage in sessions to gather business context from Product Owners, analyze, and document findings.
- Prepare business requirements, user stories, and technical specifications.
- Work with internal stakeholders to ensure user requirements are clear and comprehensive, confirming that modifications and enhancements meet technical specifications and user needs.
- Conduct data analysis across various data sources, consolidating multiple datasets and analyzing the information accurately and efficiently.
- Perform business process analysis to determine how data and analytics solutions should be configured to meet identified needs.
- Analyze business performance data before and after the deployment of data and analytics solutions, utilizing SQL, BI Reports, and ad-hoc analysis tools such as PowerBI, Tableau, and Excel.
- Map current processes to desired outcomes and identify gaps in program functions, output requirements, input requirements, data conversion strategies, and system controls.
- Assist in developing test designs and creating test cases.
- Support the development and maintenance of product and project documentation, including internal project status updates and conceptual business communication materials.
Qualifications:
- 5+ years of experience as a Business Analyst, Product Manager, Solutions Architect, or Business Systems Analyst in data and analytics software development projects.
- Strong analytical skills to manage and interpret data from diverse sources, ensuring data integrity and usefulness for strategic decision-making.
- Experience with Agile development methodologies.
- Solid understanding of Agile practices and experience in Agile and hybrid development environments.
- Proven experience in the design, development, and implementation of enterprise data and analytics solutions.
- Ability to apply data and analytics to enhance business processes.
- Proficient in eliciting, articulating, and documenting process modeling, business requirements, and business context using scenarios and user stories.
- Strong foundational knowledge of Agile methodology in practice, as well as Product Development and the Software Development Life Cycle.
- Demonstrated experience in business and technical requirements analysis, elicitation, modeling, verification, and methodology development.
- Familiarity with JIRA and Confluence to support workflow management.
- Experience with various data and reporting tools, including SQL, PowerBI, Tableau, and Excel.
- Strong proficiency in Microsoft applications such as PowerPoint, capable of creating clear, concise, and persuasive presentations using mockups, data, and written context.
Education:
- Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field.
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