Business Data Analyst

This role requires a strong background in SQL, databases, data modelling, data analysis, data transformation, and data visualization. The ideal candidate will have extensive experience with Dataiku, Tableau and Geospatial analytical skills. You will play a crucial role in designing data models, gathering information, writing code, maintaining data documentation, communicating results, and collaborating with data team members. An Analytics Engineer connects the ideas and strategies of executives and stakeholders with the numbers and evaluations of data collection and statistics. Roles and Responsibilities • Design, develop, and maintain robust analytics pipelines to support customer-facing dashboards and reports. • Collaborate with stakeholders to understand their data requirements and translate them into technical specifications. • Perform data modelling, data transformation, and data analysis to ensure data accuracy and integrity. • Develop and maintain interactive dashboards and visualizations using tools like Tableau. • Utilize Dataiku for data preparation, machine learning, and data pipeline automation. • Optimize SQL queries and database performance to handle large datasets efficiently. • Perform the Geospatial analysis using the IoT data. • Ensure data quality and consistency across various data sources and platforms. • Monitor and troubleshoot data pipelines and dashboards to ensure their reliability and performance. • Maintain comprehensive data documentation and communicate results effectively to stakeholders. • Collaborate with data team members to align strategies and deliverables. Required Skills Must have skills: • Strong proficiency in SQL and experience with database management systems. • Strong proficiency in Geospatial Analysis • Strong proficiency in data analytics tools such as Dataiku and Tableau. • Extensive experience with data modelling, data transformation, and data analysis. • Strong understanding of ETL processes and data integration techniques. Good to have skills: • Familiarity with programming languages such as Python is a plus. • Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. • Experience with version control systems like Git. Desired Skills: Must have skills: • Strong proficiency in SQL and experience with database management systems. • Strong proficiency in Geospatial Analysis • Strong proficiency in data analytics tools such as Dataiku and Tableau. • Extensive experience with data modelling, data transformation, and data analysis. • Strong understanding of ETL processes and data integration techniques. Good to have skills: • Familiarity with programming languages such as Python is a plus. • Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. • Experience with version control systems like Git. Soft Skills : • Excellent analytical and problem-solving skills. • Strong communication and collaboration abilities. • Ability to work independently and as part of a team. • Detail-oriented with a commitment to delivering high-quality work. • Strong organizational skills and the ability to manage multiple tasks and priorities. • Adaptability to changing requirements and a fast-paced environment. • Self-motivated and proactive in identifying opportunities for improvement. Show more Show less