Data Analyst

Based in Plymouth, this position focuses on converting complex information into actionable insights for strategic planning. The successful applicant will design interactive dashboards and support decision-making through precise reporting, while championing contemporary Business Intelligence, analytics, and automation tools to streamline operations. Core duties involve examining large datasets to uncover patterns, improving reporting efficiency, and reducing reliance on manual procedures. This role suits an analytical thinker with strong technical proficiency in BI platforms, who can communicate findings clearly to non-specialists.

The post offers a structured environment for a professional seeking to influence organisational direction through evidence-based practice.

Salary: £36,070 per annum

Contract:

Permanent, Full-Time (37 hours per week)

This is an exciting opportunity for an analytical and forward-thinking Data Analyst to play a key role in transforming the way data is used across the organisation. You'll be responsible for turning complex data into meaningful insights, developing interactive dashboards, and supporting strategic decision-making through high-quality reporting and analysis. The successful candidate will help drive the adoption of modern Business Intelligence, analytics, and automation tools, helping to improve efficiency and reduce manual processes across the business.

• Analyse complex datasets to identify trends, patterns, and actionable insights.
• Design and develop interactive dashboards, reports, and visualisations.
• Create scalable and automated reporting solutions to improve efficiency.
• Consolidate manual reporting processes into dynamic, self-service dashboards.
• Develop solutions that connect multiple data sources, including Microsoft SQL Server and cloud-based platforms.
• Ensure the accuracy, reliability, and completeness of reported data.
• Act as a central point of contact for reporting and data analysis requirements.
• Work collaboratively with stakeholders to understand reporting needs and deliver meaningful business insights.
• Support business functions with reports and analysis to improve decision-making and reduce manual processes.
• Assist with forecasting and modelling activities, including performance and recruitment trends.
• Support the implementation of modern BI, predictive analytics, and data science techniques.
• Develop automations and system triggers using SQL to improve operational efficiency.
• Maintain existing data feeds and support the integration of new systems and databases.

We're looking for someone who enjoys working with data, solving problems, and uncovering insights that help organisations make better decisions.

• Degree in Data Analytics, Computer Science, or a related discipline, or equivalent relevant experience.
• Experience developing dashboards, reporting solutions, and data visualisations.
• Proven ability to analyse data, identify trends, and present actionable insights.
• Strong experience working with large and complex datasets.
• Excellent SQL skills and experience working with Microsoft SQL Server.
• Strong analytical skills and attention to detail.
• Ability to work independently and manage competing priorities.
• Strong communication and stakeholder engagement skills.

• Experience using Power BI, Google Data Studio, Python, or R.
• Experience implementing automation and workflow improvements.
• Knowledge of predictive analytics and business intelligence tools.
• Experience integrating data from multiple sources.

• A proactive and self-motivated approach.
• A passion for data and continuous improvement.
• Strong problem-solving skills.
• The ability to translate data into meaningful business insights.
• Excellent customer service and relationship-building skills.

• Salary of £36,070 per annum.
• Permanent, full-time position.
• 37-hour working week.
• Opportunity to work on innovative data and analytics projects.
• A role where you can directly influence business performance and decision-making.
• Ongoing professional development and learning opportunities.