Data Analytics Engineer

Design, organize, and maintain an Analytics Factory as part of a team to support the needs of thousands of users
Advise on data-flow integration and the selection of platforms or tools
Analyze existing data flows, identify the root causes of issues, and assess optimization opportunities
Organize, filter, combine, and correct data upstream of dashboards
Develop, enhance, and document data transformations feeding dashboards
Maintain the data pipeline through to the end user
Collaborate closely with Niji’s development, design, cybersecurity, and consulting specialists

Requirements

• University, engineering, computer science, or equivalent degree at Master’s level (Bac +5) or equivalent
• At least 5 years of solid professional experience in Analytics
• Proficiency in SQL
• Proficiency in Power BI
• Ideally, proficiency in another general-purpose data analytics language: Python with Streamlit or R with Shiny
• Rigorous, proactive, and curious mindset
• Enjoy working collaboratively and supporting colleagues
• Ability to communicate information clearly and in a structured manner

Core Competencies

Demonstrates expertise in data analytics, including proficiency in SQL and Power BI, while effectively managing data pipelines and transformations. Collaborates with cross-functional teams to optimize data flows and enhance user experience.

Highest-signal resume keywords

• SQL Proficiency
• Power BI Proficiency
• Data Analytics Experience
• Data Pipeline Management
• Data Transformation Development

Hard Skills

• SQL
• Power BI
• Python
• Streamlit
• R
• Shiny
• Data Analysis
• Data Integration
• Data Optimization
• Data Documentation

Soft Skills

• Collaborative
• Proactive
• Curious
• Clear Communication
• Structured Information Delivery

Industry Keywords

• Analytics Factory
• Data Flow
• Data Pipeline
• Data Transformation
• User Experience