The Analytical Engineer role at The Focus Group is ideal for those who excel in transforming raw data into structured datasets. This position combines data engineering and analytics to support business decision-making in a dynamic environment.
Dynamic and collaborative, with a focus on data-driven decision-making.
As an Analytical Engineer at The Focus Group, you will play a crucial role in transforming complex, raw data into structured datasets that are ready for analytics and reporting. Your work will bridge the gap between data engineering and analytics, ensuring that the organization can make informed decisions based on high-quality data. This position is well-suited for individuals who have a strong background in data modeling and transformation, particularly in environments that prioritize data governance and quality.
In your day-to-day responsibilities, you will design and implement scalable data models, develop and maintain ETL processes, and enable business intelligence through high-quality data provisioning. You will collaborate closely with data scientists and analysts to support their needs and ensure that the data you provide meets the requirements for advanced analytics and reporting. Your ability to engage with both business and technical stakeholders will be essential in translating their needs into effective data solutions.
Key requirements for this role include strong experience in data modeling, proficiency in SQL and Python, and familiarity with modern data platforms like Azure and Databricks. You should also have a solid understanding of data warehousing and analytics pipelines, as well as a keen attention to detail and a focus on delivering quality outcomes. If you have experience in banking or financial services, that would be a plus, but it is not mandatory.
Overall, this role is perfect for someone who is analytical, detail-oriented, and enjoys working in agile environments. You will have the opportunity to contribute to the delivery of trusted datasets that support critical business decisions and analytics outcomes.
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