• Build engaging and intuitive BI dashboards and data visualizations
• Accurately capture data requirements supporting business objectives
• Translate requirements to Data Engineering and Data Science teams and be responsible for delivery
• Bring insights to business teams, focusing on revenue and growth opportunities
• Partner with business teams as a data subject-matter expert
• Develop data storytelling capabilities
• Develop and track KPIs and own business measurement
• Identify patterns, trends, and opportunities using numerical and statistical expertise
• Turn findings into clear recommendations for business teams and Senior Management
• Help shape data usage and promote a data-driven, data-democratic culture
Requirements
- At least 6 years of professional experience as a Business Intelligence Analyst, Data Product Owner or Data Scientist
- MS/BS in Mathematics, Statistics, Computer Science or a science-related discipline
- High proficiency in Python and Dbt-SQLMesh
- Ability to create tables and develop schemas that function efficiently, are optimized and scalable
- Experience with statistical methodologies and A/B (hypothesis) testing is a huge plus
- Hands-on experience using BI data visualization tools such as Tableau, Looker, Power BI, or Open Source
- Ability to present data in a compelling and intuitive way
- Fantastic communication and interpersonal skills
Core Competencies
Demonstrates expertise in building engaging BI dashboards and data visualizations, translating data requirements, and delivering insights to drive business growth. Proficient in statistical methodologies and data storytelling, with a strong focus on developing KPIs and promoting a data-driven culture.
Highest-signal resume keywords
- Business Intelligence Analysis
- Data Visualization
- Python Programming
- Dbt-SQLMesh
- Statistical Methodologies
ATS Optimization Keywords
Hard Skills
- Data Requirements Capture
- Data Storytelling
- KPI Development
- A/B Testing
- Schema Development