Cardiff, Caerphilly, Gwent, United Kingdom Hybrid / WFH Options
IntaPeople
MS Excel Statistical, mathematical, or financial (one is essential – you should demonstrate a sound background) SQL experience (coding) Attention to detail Experience with data visualisation tools (Power Bi, Tableau etc) Familiarity with data modelling, data warehousing, ETL process (foundational) – ideally someone with good experience in all 3. Duties: Perform data … and complex data sets. • Proficiency in data management and analysis tools and programming languages such as SQL, Python, R, or SAS. • Experience with data visualisation tools such as Power BI (preferred), Tableau, or QlikView. • Solid understanding of statistical methods and techniques for data analysis. • Familiarity with data modelling, data warehousing more »
Skills Ability to communicate clearly and succinctly to colleagues, the client and the wider design team Good organisation, coordination and problem-solving skills Good visualisation and conceptual design skills Ability to nurture and maintain good professional relations with colleagues, clients and consultants Ability to find the best solutions for complex more »
using BI tools. The experience you’ll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production more »
using BI tools. The experience you'll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis knowledge. - Experience in deploying production more »
Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding more »
