Data Analyst

What You'll be doing: 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. Requirements: 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. Show more Show less