Senior Data Manager

Job Description

About the Role : At Zellis Group, as Transformation Data & SQL Developer, your role will be critical in creating the data infrastructure on which the delivery of cross functional reporting dashboards suitable for the Execs and shareholders will depend. You will be an advanced SQL developer, highly organised, confident individual with excellent communication skills who is passionate about data and working with cutting edge Management Information Tools. Responsibilities : Data Sources and Collation : Work with source systems to track and identify the required data, tidying up the raw versions and making them available to flow into the data pipeline. Collating off-line data and ingesting into the Data Warehouse. Data Warehouse Build : Contribute and assist in the creation of a data warehouse by assisting in the creation of the data schema and creating all the necessary tables, joins and data pipelines. Data Transformation : Work with business analysts to translate business logic into SQL in the transform layer within an ETL tool. Data Warehouse Maintain : Run pipelines as required for data refreshes. Change logic as required to adapt to changes in underlying business logic. Data Warehouse Improve : Look to further refine logic such that transforms are always optimised for performance and to obtain most robust results. Support : Support data governance and metadata management. Role will begin with sales reporting automation and further expand to all functions across the business, driving automation and AI enabled reporting end to end. Documenting processes and definitions : Creating detailed documentation, including flowcharts to visualise data transform processes and data schemas. Qualifications : A degree in Business Administration, Management, Finance, business analytics, data science or a related field. Required Skills : Advanced SQL Developer (essential). Python knowledge and BI experience (desired). Experience using ETL and Data Warehouse systems. Exceptional communication skills; written, verbal and active listening – ability to clearly articulate messages to a variety of audiences. Ability to multi-task, prioritise, manage time effectively and problem-solve under pressure. Have an eye for detail and able to identify errors and anomalies within data across multiple sources. A professional and collaborative approach to the management of customer data, placing customers' needs at the heart of every decision. Show more Show less