Advanced Specialist, Digital Innovation

Job Overview 综述

Data Analytics Specialist

Power BI dashboard development

Python-based web applications (Streamlit)

data integration from REST APIs and cloud-based data lakes

Key Responsibilities

Responsibilities 职责:

• Dashboard Development:
• Design, develop, and maintain interactive and visually compelling dashboards using Power BI.
• Implement DAX queries and data models to support business intelligence needs.
• Optimize performance and usability of dashboards for various stakeholders.
• Python & Streamlit Applications:
• Build and deploy lightweight data applications using Streamlit for internal and external users.
• Integrate Python libraries (e.g., Pandas, NumPy, Plotly, Matplotlib) for data processing and visualization.
• Data Integration & Retrieval:
• Connect to and retrieve data from RESTful APIs, cloud storage (e.g., Azure Data Lake, Cognite Data Fusion, and SQL/NoSQL databases.
• Automate data ingestion pipelines and ensure data quality and consistency.
• Collaboration & Reporting:
• Work closely with business analysts, data engineers, and stakeholders to gather requirements and deliver insights.
• Present findings and recommendations through reports, dashboards, and presentations.
  

Qualifications 要求

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 3+ years of experience in data analytics or business intelligence roles.
• Proficiency in Power BI, including DAX, Power Query, and data modeling.
• Strong Python programming skills, especially with Streamlit, Pandas, and API integration.
• Experience with REST APIs, JSON/XML parsing, and cloud data platforms (Azure, AWS, or GCP).
• Familiarity with version control systems like Git.
• Excellent problem-solving, communication, and analytical skills.
  

Preferred Qualifications:

• Experience with CI/CD pipelines for data applications.
• Knowledge of DevOps practices and containerization (Docker).
• Exposure to machine learning or statistical modeling is a plus.