Job Summary
Short Description of the Job
Use advanced analytics, translation and visualisation skills to consult with business stakeholders, gaining a deep understanding of their business needs to proactively and reactively offering bring data and analytics expertise and solutions to business challenges in line with our Purpose.
Key Responsibilities
Key Responsibilities
Deeply understand the needs of business stakeholders using strong consultancy skills to identify suitable data and analytics solutions to meet those needs in order to support the achievement of business strategy, ensuring data is sourced from approved Golden Sources, is used appropriately and is fit for purpose
Drive and embed advanced analytics in their team to develop business solutions which increase understanding of the Group’s business including its customers, processes, channels and products
Bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, using the best tool/s and approaches blending both the data and insights and the stakeholders needs
Work in an agile way within multi-disciplinary data and analytics teams leading, coaching and co-ordinating resources either direct reports and/or more widely from across the team and the business to plan and deliver strategic agreed project and scrum outcomes
Skill Requirements
Skills required: Snowflake, AWS, AWS Glue, SQL, Python, proven experience migrating code from on-prem to cloud, Reporting development of at least 2 of Tableau, Power BI and Amazon Quick
The skills you'll need
We’re looking for a capable leader with a passion for data and analytics, and experience of coaching and supporting their colleagues to succeed. Along with advanced analytics knowledge, you’ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling.
You’ll also demonstrate:
- Knowledge of data architecture, key tooling and relevant coding languages
- Strong knowledge of data management practices and principles
- Experience of translating data and insights for key stakeholders
- Good knowledge of data engineering, data science and decisioning disciplines
- Strong communication skills with the ability to engage with a wide range of stakeholders