Overall Purpose of the Role
• To take ownership of the data platform, managing the process from source data to the presentation layer, and acting as the sign-off authority for underlying data models.
• To manage and prioritise the Data & Analytics (D&A) backlog, working collaboratively with the data architect, data engineers, data analysts and other business stakeholders to ensure data is accurate, timely and meets requirements.
• To challenge and understand the business and its systems, driving continuous improvement in business insights.
• To maintain technical ownership of the data platform, ensuring governance, usability, and performance of the platform consistently meets the needs of the business.
Primary Responsibilities of Role
• Accountable for the design of data models through different data domains that can support supports analytical processes and reporting.
• Responsible for up-to-date technical documentation in and Enterprise Architecture tool.
• Responsible for prioritising the backlog of work for our Data Lakehouse and BI tool based on business and technically priorities/dependencies.
• Responsible for presenting solutions to the Technical Design Authority (board of architects).
• Ensure the data flows are documented and data marts reconciliation from source to reporting layer is certified.
• Lead and collaborate with a multi-skilled team to deliver against the D&A strategy
• Be an ambassador for the art of the possible, ensure that structured analytical solutions are scalable and meet the business objectives whether tactical or strategic.
• Identify and assess internal and external data sources to derive business insights, tactical decision making and hypothesis.
• Develop fit-for-purpose, resilient, scalable and future-proof data services to meet user needs
• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Develop Key Performance Indicators and metrics that measure the performance of the data platform.
Role Specific Technical Skills and Knowledge/Qualifications
Knowledge;
• Bachelor’s degree in computer science, engineering or related field.
• Experienced with cloud technologies focusing on Microsoft platform. E.g. Microsoft Azure Synapse Analytics, Google BigQuery, Snowflake, or Microsoft Azure Databricks
• Proficient in using tools like Python, R, or SQL to automate repetitive tasks, conduct analyses, and develop custom solutions.
• Exposure to Azure DevOps and CI/CD concepts would be beneficial.
• Prior experience with data warehousing, modelling and analysis.
• Good knowledge of data visualization tools like Tableau or Power BI.
Skills;
• Applies knowledge of systems, data, and requirements to uncover problems and recommends solutions.
• Excellent stakeholder management with the ability to identify differing communication styles and adapt accordingly.
• Build and maintain strong and effective working relationships across the organisation.
• Effective time management, ability to manage own workload appropriately.
• Able to interpret the results of analyses and provide actionable recommendations based on data-driven insights. Help decision-makers understand the implications of the data.
• Delivery focused with high levels of motivation, enthusiasm and drive together with strong influencing skills.
• Ability to work autonomously, as well as being a good team player.
• Results oriented and a creative thinker with visualising data.
• Thorough understanding of project management and SDLC methodologies.
Behaviours;
• Honesty and Integrity: Communicating openly, keeping commitments / promises, respecting others, and tailoring responses to individual circumstances.
• Striving to Do Our Best: Commits to improving every day, delivering quality service, supporting our team's success, and working towards our goals with enthusiasm.
• Safety, Care & Support: Builds trust through compassion and honest feedback, values diverse perspectives, supports self-care and balance, and learns from challenges to help to create a connected, supportive team where everyone can thrive.
• Building Relationships: Works cohesively towards common goals, involves the right people at the right time, asks questions and listens before acting. Collaborates, shares knowledge, and communicates plans while making considered decisions that take others into account.