Data Insights Developer

Data Analysis and Engineering

• Develop and optimise data models to support analytical requirements.
• Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery.
• Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets.
• Create efficient queries to retrieve and analyse relevant data, driving insights and recommendations for stakeholders.

Full Stack Development

• Design, develop, and maintain web applications using Python and modern web frameworks (e.g., Django, Flask).
• Implement responsive designs with HTML, CSS, and JavaScript frameworks.
• Utilise Docker and Kubernetes for containerisation and orchestration, ensuring scalable deployment.
• Manage cloud infrastructure and services; familiar with DevOps practices and deployment.
• Understanding of security best practices in web environments, especially within GCP and other cloud-based settings.

Stakeholder Management

• Work closely with business stakeholders and subject matter experts to articulate clear business requirements, applying critical thinking to challenge where appropriate.
• Manage end to end project deliveries within timelines, managing risks / issues where necessary.
• Support user adoption and on boarding with hands on training and documentation.

Data Visualisation and Storytelling

• Craft compelling data visualisations that are aligned to business objectives and effectively communicate insights.
• Apply knowledge of colour theory and usability principles to enhance the effectiveness of visualisations.
• Engage in data storytelling to contextualise visual findings, helping stakeholders quickly understand actionable insights.

To be successful you will:

Skills/experience required:

• Strong understanding of data modelling concepts and analytical techniques; familiarity with scenario modelling or analytics would be an advantage.
• Demonstrable experience of working in a Full Stack development or similar hybrid role, combining software development, data analysis and visualisation.
• Proficiency in data manipulation tools, particularly Pandas, and experience with cloud data platforms like Google BigQuery.
• Proven technical skills in Python, DevOps practices, and web technologies, including CSS, JavaScript, and popular web frameworks.
• Familiarity with Docker and Kubernetes for application deployment.
• Excellent data visualisation skills, ideally with a portfolio showcasing the ability to tell compelling stories through data.
• Understanding of Agile ways of working, including experience with JIRA and Confluence.
• Understanding of banking / financial services industry.
• Experience in business analysis, solution design, change & implementation or consulting activities.
• Excellent analytical and problem solving skills, with a keen attention to detail.
• Ability to work independently and proactively.

Soft skills required:

• Pro-active attitude, drive to continuously improve things by use of creativity and initiative.
• Good communication and stakeholder management skills, including with senior and non-technical stakeholders, with the ability to build strong relationships with customers.
• Excellent critical thinking skills, with the ability to challenge or push back on unclear requirements.
• Strong organisational and planning skills, with the ability to prioritise work and respond to fast changing, complex and often ambiguous demands.
  • Ability to work autonomously, with end-to¬-end ownership of specific deliverables.