Required Real-Time Data Analyst
Description:
We develop electrochemical hybrid systems for hydrogen generation using our novel technology. We are looking for a skilled and detail-oriented SQL Database and Real-Time Data Analyst to join our team. The ideal candidate will be responsible for updating and maintaining our SQL databases with data from real-time systems and sensors. This role will involve manipulating data for analysis, creating visualizations using Grafana or Power BI, and developing GUI programs for online graphs and real-time system analysis using Python.
Key Responsibilities:
SQL Database Management:
Manage, update, and maintain SQL databases to ensure data integrity and availability.
Integrate real-time data from various systems and sensors into the SQL database.
Perform regular database maintenance, optimization, and troubleshooting.
Data Manipulation and Analysis:
Clean, preprocess, and manipulate data for in-depth analysis.
Use SQL queries to extract, transform, and load (ETL) data as needed.
Analyze data to identify trends, patterns, and insights to support business decisions.
Data Visualization:
Create and maintain interactive dashboards and reports using Grafana or Power BI.
Continuously improve and update visualizations based on user feedback.
Development:
Develop GUI programs for online graphs and real-time system analysis using Python, C#, VB.net, or Java.
Implement algorithms and data processing techniques in the chosen programming language.
Ensure the reliability and performance of the applications.
Collaboration and Communication:
Work closely with cross-functional teams to understand data requirements and deliver solutions.
Provide technical support and training to team members and end-users.
Document processes, workflows, and best practices for database management and data analysis.
Requirements: Basic qualifications:
4+ years of proven experience in managing SQL databases and handling real-time data.
Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, SQL Server).
Strong knowledge of data visualization tools such as Grafana or Power BI.
Experience in programming with Python, particularly in developing GUI applications.
Familiarity with real-time data processing and analysis techniques.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
Preferred qualifications:
Bachelors degree in Computer Science, Information Technology, Data Science, or a related field.
Experience with cloud-based database solutions (e.g., AWS, Azure SQL Database).
Knowledge of additional programming languages (e.g., C#, VB.net, or Java)
Experience with big data technologies and frameworks.
Certifications in relevant technologies or tools.
This position is open to all candidates.