(Internal Role : Business System Configuration / Development I) Data Exploration and Analysis: Work with our team to explore and analyse datasets using Power BI, uncovering valuable insights to support business decision-making. Power BI Data Hub: Contribute to the development and maintenance of our Power BI Data Hub, ensuring it remains a reliable and comprehensive source of truth. Data Integrity: Assist in data cleansing and verification to ensure data accuracy and consistency within the Power BI Data Hub.
DAX and Python Expertise: Utilize your strong knowledge of DAX and Python (Pandas, NumPy, TensorFlow, matplotlib, Seaborn, Plotly, NetworkX) to manipulate and transform data effectively. Data Engineering: Employ basic data engineering techniques to extract, transform, and load data into the Power BI Data Hub. Data Modelling: Collaborate with the data team to implement data modelling principles and create meaningful visualizations for data-driven insights.
Reporting and Visualization: Create visually compelling and informative dashboards and reports using Power BI. Documentation: Maintain clear and concise documentation of data analysis processes and methodologies. Work with Data Science Manager on addressing existing data debts within the current systems to improve data accuracy and reliability.
Work with data science manager to build ML models that help in better the managing the program Assist in maintain data deliverables such as a data dictionary, business glossary, and data catalogue. Assist in building and developing GIS data products.Currently enrolled as a 3rd-year student in Computer Science, Business, or Engineering. Strong knowledge of DAX and Python (Pandas, NumPy, TensorFlow, matplotlib, Seaborn, Plotly, NetworkX) for data analysis, manipulation and visualization.
Familiarity with Power BI and data visualization concepts. Basic understanding of data engineering techniques and data modeling principles. Some knowledge of Power Automate and Power Query is an advantage.
Detail-oriented and dedicated to ensuring data accuracy and integrity. Strong problem-solving and analytical skills. Excellent communication and team collaboration abilities.
Proactive and eager to learn about data analysis and visualization. Willingness to commit to a minimum of 8 months (preferred for 12 months) of continuous work. Puts team success above own interests.Currently enrolled as a 3rd-year student in Computer Science, Business, or Engineering.
Strong knowledge of DAX and Python (Pandas, NumPy, TensorFlow, matplotlib, Seaborn, Plotly, NetworkX) for data analysis, manipulation and visualization. Familiarity with Power BI and data visualization concepts. Basic understanding of data engineering techniques and data modeling principles.
Some knowledge of Power Automate and Power Query is an advantage. Detail-oriented and dedicated to ensuring data accuracy and integrity. Strong problem-solving and analytical skills.
Excellent communication and team collaboration abilities. Proactive and eager to learn about data analysis and visualization. Willingness to commit to a minimum of 8 months (preferred for 12 months) of continuous work.
Puts team success above own interests