Education
Bachelor’s Degree in Computer Science, Data Science, or a related field (or equivalent professional experience).
Full Cycle Data Experience
Experience with the whole process: extracting data, cleaning it, and visualizing it.
Skills & Abilities
- Analytical Thinking: Ability to deconstruct complex business problems and identify the underlying data patterns.
- Visual Storytelling: A strong eye for design and the ability to present data in a way that is intuitive and tells a clear story.
- Attention to Detail: Rigorous commitment to data integrity; a zero-error mindset regarding financial or operational metrics.
- Communication: Capable of explaining technical data concepts to non-technical stakeholders in a clear, persuasive manner.
- Technical Skills
- BI Platforms: Expert-level proficiency in Power BI (DAX/Power Query) or Looker.
- Database Management: Advanced SQL skills (complex joins, stored procedures).
- Data Architecture: Understanding of data warehousing concepts and dimensional modeling.
- Programming (Optional but Preferred): Basic knowledge of Python or R for advanced statistical analysis.
- Core Abilities
- Ability to manage multiple projects simultaneously under tight deadlines.
- Ability to adapt to new technologies and evolving data landscapes.
- Strong problem-solving skills to address data discrepancies or performance bottlenecks.
Responsibilities
- Dashboard Development: Design and implement interactive, high-performance dashboards and reports using tools such as Power BI or Looker.
- Data Modeling: Develop and optimize specialized data models to ensure accurate and fast reporting.
- Requirement Gathering: Partner with business users to translate vague business questions into technical data requirements.
- ETL & Data Integration: Write complex SQL queries and manage ETL (Extract, Transform, Load) processes to pull data from various sources into a centralized reporting layer.
- Maintenance & Quality Assurance: Perform regular data audits to ensure single source of truth accuracy and troubleshoot any report performance issues.
- Training & Documentation: Create technical documentation for data lineage and provide training to end-users on how to navigate and interpret dashboards.
Benefits