FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Business Analyst, Data & Analytics Product
Baxter Planning. Partner with internal planners, customers, Customer Success, Professional Services and other stakeholders to understand business decisions and analytical needs .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and business requirements gathering, with a strong focus on translating stakeholder needs into actionable data engineering requirements. Proficient in managing data roadmaps and prioritizing initiatives based on business impact and customer value.
Highest-signal resume keywords
Business AnalysisData ArchitectureSQL ProficiencyRoadmap OwnershipStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Dimensional ModelingData Lake ArchitectureRequirements ElicitationData Quality ManagementUser Acceptance Testing
Soft Skills
Communication SkillsPrioritization SkillsTrade-off Decision Making
Tools & Technologies
BI ToolsAI Tools
Industry Keywords
Business MetricsData EngineeringAnalytical NeedsUser PersonasBacklog Management
Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Partner with internal planners, customers, Customer Success, Professional Services and other stakeholders to understand business decisions and analytical needs
- Conduct structured interviews, workshops and workflow observation to document user personas, analytical needs, frequency of use, required detail and intended outcomes
- Distinguish customer-specific report requests from repeatable core-product needs and recommend the appropriate path
- Synthesize findings into problem statements and use cases for prioritization
- Develop working knowledge of the data lake, dimensional models and source product data
- Map business requirements to data assets, identify gaps and assess the effort and value of closing them
- Establish and maintain governed business metric definitions
- Validate data structures and raise issues concerning grain, history, completeness or consistency with Data Engineering
- Own the data and analytics roadmap and prioritize initiatives based on customer value, business impact, strategic alignment and delivery effort
- Maintain prioritization frameworks and communicate roadmap decisions
- Manage competing customer and internal requests and make trade-off decisions with Product leadership
- Translate business needs into detailed, testable Data Engineering requirements and acceptance criteria
- Define data quality expectations and maintain a prioritized backlog with epics and user stories
- Partner with Data Engineering to plan work, track progress and resolve blockers
- Review delivered capabilities and coordinate user acceptance testing
- Provide status updates, escalate risks and dependencies, and measure adoption and business impact to refine the roadmap
Requirements
What you’ll need- 5+ years of experience as a business analyst, analytics consultant, BI lead or in a comparable role, working directly with business stakeholders to define data, reporting and analytics requirements
- Robust understanding of analytical data architecture, including dimensional modeling (star schemas, fact and dimension tables, grain) and layered data lake architecture (e.g., bronze, silver and gold layers)
- Demonstrated experience eliciting requirements from diverse stakeholders and translating them into clear, prioritized plans
- Experience owning a roadmap or backlog and driving execution with a technical delivery team
- Strong prioritization skills, with the ability to evaluate initiatives based on business value and customer impact and to communicate trade-offs clearly
- Working proficiency in SQL or BI tools sufficient to explore data, validate availability and confirm that data supports a given requirement
- Excellent written and verbal communication skills, with the ability to explain technical concepts to business audiences and business needs to technical teams
- Regular, hands-on use of AI tools in day-to-day work (e.g., research synthesis, requirements drafting, data exploration)
- Bachelor's degree in Business, Engineering, Analytics, Information Systems or a related field
- Professional fluency in English
- Employer is unable to sponsor visas for this position
Benefits
Comp & perks- Excellent benefits
- Exciting and supportive work environment
- Excellent work-life balance
- Flexibility to work from home 1-2 days per week