Data Analytics Engineer - PowerBI & Synapse

Summary

Join RegASK, an AI-driven regulatory workflow solution, as a Data Analytics Engineer – PowerBI & Synapse. You will translate analytics and BI requirements into data pipelines and dashboards, creating compelling visualizations for informed decision-making. Collaborate with data engineers, scientists, software engineers, and stakeholders to build robust pipelines and impactful visualizations. Develop visually engaging dashboards tailored to specific audiences and objectives, ensuring accuracy, functionality, and performance through testing and validation. Optimize visualizations for large datasets and gather feedback for continuous improvement. Document the entire process, including data sources and methodologies. RegASK offers flexible working arrangements, a high-impact role, and continuous learning opportunities.

Requirements

• Proven experiences in Agile/Scrum environment
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field. Master's degree is a plus
• Proven experience (4/5+ years) in a data-oriented position (such as a Data Analytics or Data Engineer), preferably in a data-rich environment
• Demonstrable proficiency in data manipulation and analysis tools such as SQL, Python. PySpark is a big bonus
• Demonstrable proficiency in distributed computing using Spark, using PySpark
• Deep understanding of SQL and NoSQL databases, differences and respective modelling
• Hands on Azure Synapse Analytics (Data-flows, pipelines, notebooks)
• Practical hands-on experience with data visualization tool Power BI
• Strong analytical skills and the ability to extract meaningful insights from complex data sets
• Excellent communication skills to convey findings and recommendations to both technical and non-technical stakeholders
• Attention to detail and ability to work with large datasets
• Problem-solving and proactive mindset with the ability to develop creative solutions to data challenges

Responsibilities

• Collaborate with engineering teams, to build data pipelines and manage data warehouse that will serve the Analytic platform (MongoDB OLTP => Azure Synapse Analytics OLAP => Azure PowerBI embedded)
• Collaborate with business stakeholders, data scientists, and subject matter experts to understand the data and the insights that need to be conveyed through visualizations
• Develop visually engaging and user-friendly data visualizations that are tailored to the target audience and objectives
• Choose appropriate data visualization based on the nature of the data and the desired output (e.g., charts, graphs, dashboards)
• Clean, preprocess, model, and format data to make it suitable for visualization. This may involve data analysis, cleaning, transformation, and integration
• Create dynamic, interactive and static data visualizations using Power BI Desktop and DAX
• Ensure the accuracy, functionality, and performance of data visualizations through testing and validation processes
• Optimize data visualizations for performance, responsiveness, and scalability, especially when dealing with large datasets
• Gather feedback from stakeholders and end-users and make necessary improvements to enhance the effectiveness of visualizations
• Document the data visualization process, including data sources, methodologies, design decisions, and best practices

Benefits

• Flexible working arrangements (hybrid/remote)
• Opportunity to work in a high impact role at the intersection on AI, SaaS and Compliance/ Regulatory intelligence
• Continuous learning and professional development