Job Description:
Reporting & Visualization Lead
Analytics Product Analyst
This person sits between:
- Business stakeholders
- TPMs/Program Managers
- Data Engineers
- BI Developers
Core Qualifications
1. Business Analysis & Requirements Gathering
Must Have
- 5+ years gathering business requirements
- Leading stakeholder discovery workshops
- Translating business questions into analytics solutions
- Writing functional requirements and user stories
- Managing report scope and prioritization
2. Reporting & Visualization Expertise
Must Have
- Power BI expertise
- Dashboard design best practices
- KPI development
- Data storytelling
- Wireframing tools (Figma, PowerPoint, Miro, Visio, Lucidchart, etc.)
- Executive dashboard design
- KPIs
- Filters
- Drilldowns
- Navigation
- User experience
- Layouts
before development starts.
3. Strong Data & Analytics Knowledge
Must Have
- Dimensional modeling concepts
- Understanding of facts, dimensions, and semantic models
- Data warehouse concepts
- Ability to interpret source-system limitations
Why The role regularly participates in conversations about whether data exists and how it can support reporting needs.
4. Engineering Partnership Skills
Must Have
- Experience partnering with:
- Data Engineers
- BI Developers
- Product Teams
- Architects
- Experience handing off requirements to technical teams
- Ability to facilitate ambiguity resolution
Why This role serves as the translator between business and engineering.
5. Facilitation & Communication
Must Have
- Executive communication skills
- Workshop facilitation
- Meeting leadership
- Cross-functional stakeholder management
- Ability to challenge requirements constructively
Why A large portion of the value comes from driving alignment rather than creating the report itself.
Nice-to-Have Domain Expertise
Given the types of projects your team supports, I would prioritize candidates with experience in:
- Retail analytics
- Marketplace analytics
- Finance reporting
- Supply chain reporting
- Fraud/risk scorecards
- Operational KPIs
- Data governance
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