Data Specialist

·Design and implement data collection strategies that align with business objectives and user needs

·Develop analytical frameworks and conduct statistical analyses to uncover meaningful patterns and trends

·Build predictive models and data visualisations that support organisational objectives and decision-making processes

·Work collaboratively with various teams to understand business problems and translate them into data-driven solutions

·Define and monitor relevant metrics to measure service performance and identify areas for improvement

·Ensure data quality and governance throughout your work, adhering to ethical guidelines and data protection regulations

·Develop data products that drive improvements in service delivery and operational efficiency

·Create comprehensive documentation and knowledge sharing materials to build data literacy across the organisation

·Present complex findings to diverse stakeholders in clear, actionable terms

·Stay current with emerging technologies and methodologies in data science and analytics

·Contribute to the continuous improvement of data practices and processes

·Support the development of junior team members through knowledge sharing and mentoring

·Analytical Expertise: Strong background in statistical analysis, data modelling, and interpreting complex datasets to extract actionable insights

·Technical Proficiency: Experience with programming languages such as Python, R, or SQL for data manipulation, analysis, and visualisation

·Data Visualisation: Ability to create clear, compelling visualisations that effectively communicate complex findings to diverse audiences

·Business Acumen: Capacity to understand business problems and translate them into analytical frameworks and solutions

·Problem-Solving: Demonstrated ability to approach complex data challenges systematically and develop innovative solutions

·Data Management: Knowledge of data governance principles, quality assurance processes, and ethical considerations in data handling

·Display Appropriate Use of Generative AI: Understand and demonstrate the appropriate use of Generative AI to expedite work within operational boundaries.

·Communication: Excellent written and verbal communication skills for effectively presenting findings to both technical and non-technical stakeholders

·Collaborative Approach: Experience working as part of multidisciplinary teams to deliver data-driven projects

·Methodical Working: Systematic approach to data analysis with careful attention to detail and accuracy

·Continuous Learning: Commitment to staying current with evolving data technologies, tools, and methodologies Desirable Skills & Experience:

·Machine Learning: Experience applying machine learning techniques to solve real-world problems

·Cloud Platforms: Familiarity with cloud-based data processing platforms (AWS, Azure, GCP)

·Big Data: Experience working with large datasets and distributed computing frameworks

·Data Engineering: Knowledge of data pipeline development and ELT and ETL processes

·Dashboard Development: Experience creating interactive dashboards using tools like Power BI, Tableau, or custom solutions

·Domain Knowledge: Understanding of public sector challenges and how data can drive service improvement

·Qualifications: Relevant degree in Statistics, Computer Science, Mathematics, Data Science or equivalent practical experience

·Agile Working: Experience working within Agile methodologies and contributing to iterative development processes

·Research Methods: Understanding of qualitative and quantitative research approaches and how they complement data analysis What Makes You a Great Fit

We’re looking for someone who is naturally curious and passionate about using data to solve real-world problems. You thrive when working with complex datasets, finding patterns and insights that others might miss. Your analytical mindset is balanced with strong communication skills-you can translate technical findings into clear recommendations that drive action.

You’re comfortable with ambiguity and enjoy the process of exploring and refining analytical approaches. Rather than seeing challenges as obstacles, you view them as puzzles to be solved through creative thinking and methodical analysis. You have a collaborative spirit and enjoy working across disciplines, knowing that the best solutions often emerge from diverse perspectives.

Above all, you’re driven by the opportunity to make a positive impact through your work. You understand that behind every dataset are real people who will be affected by the insights you uncover and the recommendations you make. This understanding guides your approach to data ethics and responsible analytics practices.