Senior Analytics Engineer

As a Senior Analytics Engineer, you will combine data engineering expertise with a specialization in data modelling within business intelligence tools which are used to drive insights and decision-making across the organization. Reporting to the Manager, Data Engineering, you will contribute to the design and maintenance of the data infrastructure while taking ownership of the development, optimization, and maintenance of our data models within Power BI, the organization's primary BI tool. This role is integral to bridging the gap between raw data and actionable insights, ensuring stakeholders have access to accurate, timely, and meaningful analytics. As a Sr. Analytics Engineer, you will: Design, build, and maintain data pipelines and infrastructure to support analytics and reporting needs. Develop and manage Power BI data models, reports, and datasets, ensuring performance is maintained Collaborate with data engineers, analysts, and business stakeholders to transform complex data into actionable insights. Optimize the performance and scalability of Power BI solutions, ensuring reliability and efficiency. Work with the data platform team to ensure BI tools integrate seamlessly with the underlying data infrastructure. Support data governance initiatives by implementing and maintaining standards for data quality and consistency within BI tools. Proactively identify opportunities to enhance reporting capabilities and improve data accessibility for business users. Stay up to date with emerging trends and best practices in business intelligence and data visualization. Must-Have Experience: 4+ years of experience in data engineering, analytics engineering, or a similar role. Strong expertise in maintenance of data models within Power BI Hands-on experience with data pipeline development and maintenance (ETL / ELT processes). Proficiency in SQL and Python, with experience in transforming and preparing data for analysis. Experience working with cloud-based data platforms such as Snowflake or Azure. Technical Skills: Solid understanding of data visualization principles and best practices. Familiarity with data modelling concepts and techniques for BI tools. Knowledge of big data frameworks (e.g., Apache Spark) is advantageous. Experience with version control systems (e.g., Git) and DevOps practices for analytics solutions. Soft Skills: Strong analytical and problem-solving skills, with a detail-oriented mindset. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. A proactive and collaborative attitude, with a passion for driving value through data.

Dr. Martens is an iconic British brand founded in 1960 in Northamptonshire. Produced originally for workers looking for tough, durable boots, the brand was quickly adopted by diverse youth subcultures and associated musical movements. Dr. Martens has since transcended its working-class roots while still celebrating its proud heritage and, six decades later, "Docs" or "DM's" are worn by people around the world who use them as a symbol of empowerment and their own individual attitude. The Company listed on the main market of the London Stock Exchange on 29 January 2021 (DOCS.L) and is a constituent of the FTSE 250 index. About Dr. Martens India GTC We've expanded into India to leverage the country's rich pool of tech talent. At the Dr. Martens India Global Technology Center (GTC) in Bengaluru, you'll join a dynamic team of professionals with technical expertise and a passion for innovation, premium solutions and customer experiences. We are removing manual processes and driving the value of our recent investments towards a modern and tech-forward approach. This presents an exciting greenfield opportunity to shape the future of technology at a global brand.