Data Analytics Supervisor

Job description:

WHAT TO EXPECT

As the Data Analytics Supervisor you will work within Product Engineering Operations and be responsible for the development of validation and reporting tools across JLR and provide cross-carline, cross-functional reporting and complex data analysis. You will define and translate business problems and requirements into analytics requirements and solutions. The Analytics team provide a high level of support to many areas within Engineering with data analysis and validation tool development as well as working on a wide variety of other projects, including data pipelining, process automation, metrics development and data visualisation.
We work with a broad range of teams within Engineering as well as other areas of the business such as Marketing, Purchasing and Finance. The scope of work is varied and challenging. You will also be the main link between this area of the business and JLR's InDigital team and wider digital transformation strategy. This will provide technical support and training and extra resources where required by high return projects.

Key Responsibilities will include:

* Develop and manage the delivery and optimisation of analytics solutions; ensure solution meets business needs
* Act as lead for development segment of larger or complex projects. During projects, takes primary accountability for day-to-day line management and capability development of developers on project team and ensures accuracy and robustness of analytics products
* Develop, implement and enhance analytic insights and products using a wide range of analytics tools and data engineering
* Design and implement data pipelines (batch/streaming) and administering running pipelines via the Google Cloud Dataflow pipeline runner
* Interfacing with pipeline ingress and egress mediums (Google Cloud Storage, Google Pub/Sub, Kafka via Confluent)
* Helping enterprise architects, software developers, and other big data engineers understand big data engineering concepts and effective usage of data pipelines by encouraging and teaching best practices
* Demonstrating strong problem-solving and analytical skills both individually, and as part of a group.
* Ability to coach and mentor other big data engineers to achieve high quality pipelines. Willingness and ability to contribute to process improvement initiatives



WHAT YOU'LL NEED

Essential
* Previous experience and knowledge of modern programming languages and scripts
* You will require strong experience in Python and SQL development
* Experience with cloud data environments such as GCP & AWS
* Working knowledge of data warehousing technologies such as BigQuery
* Familiarity with orchestration frameworks such as Apache Airflow, Luigi
* Excellent written and verbal communication skills



Desirable:
* Experience of working in an Agile/XP/Scrum team and familiarity with associated techniques
* Knowledge of Tableau
* Experience programming with C or C++ is also highly desirable