Be accountable for the quality and timeliness of output from a scrum team of data analysts and develop ETL functionality to bring data into the data platform and transfer it into the required structures to satisfy the need of the platform's consuming business users
Analyse data sources and identify gaps between non-technical business requirements and technical realities
Evaluate and specify necessary transformation logic, businesss logic and preparation to suppport needs of business
Capture business data quality rules and data cleansing rules
Participate in project testing to assess the quality of the solution
Validate the process metadata and row level traceability captured in a metadata hub
Document any open bugs and other useful information into a data dictionary
Build a network of contacts in the business and learn something new about the business every day
Provide second line support to the business for data issues or queries
Support ad-hoc data discovery requests from the business
Help the business understand the possibilities and issues with data
Feed your insights to the product team to continuously improve the platform
Be diligent and positive about issue tracking and sharing knowledge
Required Skill Set:
Setting a strong example of quality output for teams of data analysts and engineers
Agile backlog and sprint management including estimation, backlog management,sprint planning, sprint reviews
Data warehousing delivery experience and expertise
Translating data requirements between business teams and tecnical teams
Building relationships with people and getting things done in a large organisation
Exploring,modelling and transforming data
Test data creation
Relational and non-relation databases and use cases for each