Job description
RegASK is an AI-driven solution enabling end-to-end intelligent regulatory workflow orchestration: automating regulatory intelligence with curated content and actionable insights, smart documentation and a connected community of over 1,700+ subject matter experts for streamlined regulatory execution globally. RegASK augments Regulatory Affairs teams, combining AI efficiency and community-driven intelligence to streamline compliance across the product lifecycle. The RegASK team is highly diverse, with more than 10 nationalities across 3 continents, entrepreneurial and very agile, We are currently recruiting highly motivated individuals to expand its team and support its ambitious growth plans.
If you are a doer who enjoys working across industries and continents, autonomous in your working style, and eager to problem solve, we would love to hear from you.
POSITION OVERVIEW
We are seeking a highly skilled Data Analytics Engineer – PowerBI & Synapse to join our team. You will be responsible for translating Analytics and BI requirements into data pipelines and dashboards, with compelling visual narratives that drive informed decision-making. You will work closely with our data engineers, data scientists and software engineers, and business stakeholders to create robust data pipelines and impactful/optimized data visualizations that deliver valuable insights.
Key Responsibilities:
- Data Pipelining/Engineering: 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)
- Data Analysis: Collaborate with business stakeholders, data scientists, and subject matter experts to understand the data and the insights that need to be conveyed through visualizations
- Design: Develop visually engaging and user-friendly data visualizations that are tailored to the target audience and objectives
- Tool Selection: Choose appropriate data visualization based on the nature of the data and the desired output (e.g., charts, graphs, dashboards)
- Data Preparation: Clean, preprocess, model, and format data to make it suitable for visualization. This may involve data analysis, cleaning, transformation, and integration.
- Visualization Development: Create dynamic, interactive and static data visualizations using Power BI Desktop and DAX
- Testing and Validation: Ensure the accuracy, functionality, and performance of data visualizations through testing and validation processes
- Optimization: Optimize data visualizations for performance, responsiveness, and scalability, especially when dealing with large datasets
- Feedback and Iteration: Gather feedback from stakeholders and end-users and make necessary improvements to enhance the effectiveness of visualizations
- Documentation: Document the data visualization process, including data sources, methodologies, design decisions, and best practices
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
Technical stack:
- Azure Synapse Analytics (Data-flows, pipelines, notebooks, workspace management). Ideally Azure Data Fundamentals certified.
- Github, Github actions
- PowerBI Embedded architecture (app owns data scenario), token generation lifecycle
- Data Analytics Ops (Integrated Git for Azure PowerBI)
- PowerBI apps in Azure
- Python, PySpark is a big bonus
- MongoDB and SQL DBs
- PowerBI Desktop, PowerBI Embedded
What We Offer:
- 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
How to Apply:
If you are excited about this opportunity and believe you have the skills and qualifications to excel as our Data Analytics Engineer - PowerBI & Synapse, please submit your resume for consideration.
We appreciate all applications, but only selected candidates will be contacted for an interview.
Thank you for considering joining the RegASK team. We look forward to reviewing your application!
