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Data Analyst
Location: West Yorkshire (Hybrid)
Hours: Monday-Friday, 37.5 hours per week
Are you a detail-driven Data Analyst who loves turning complex information into clear, actionable insight? This role offers the chance to influence real operational improvements across a fast-paced production and project-led environment. If you're analytical, curious, and confident working with data from multiple sources, this could be your next move.
The Role
You'll report directly to the Process & Project Manager and play a key part in improving efficiency and driving informed decision-making. You'll manage data collection, analysis, reporting, and performance tracking across multiple areas of the business - helping teams work smarter and supporting strategic project delivery.
This is a hybrid role, giving you the flexibility to work both remotely and on-site.
What You'll Be Doing
Collect, validate, and maintain data from various systems and reports
Analyse operational, financial, and project data to identify trends and anomalies
Build clear, concise dashboards and reports for stakeholders
Support KPI tracking and performance monitoring
Work with the Process & Project Manager to uncover opportunities for efficiency and cost reduction
Provide data-driven recommendations to improve workflows
Collaborate with cross-functional teams to understand requirements and deliver meaningful insights
Assist with project planning and tracking using accurate data analysis
About You
Strong analytical and problem-solving skills
Proficient in Excel, Power BI, SQL, or similar tools
Able to turn complex data into simple, actionable insights
Exceptional attention to detail
Confident communicator, able to work effectively with stakeholders at all levels
Highly organised, proactive, and comfortable managing multiple priorities
Qualifications & Experience
Degree in Data Analytics, Business Intelligence or related field - or equivalent experience
Strong advanced Excel skills
Experience in a similar data-focused role within a busy, fast-paced environment
If you're ready to take ownership of meaningful data initiatives and contribute to smarter, more efficient ways of working, we'd love to hear from you