Data Analyst

CV Technical are partnered with an award winning manufacturing committed to delivering high-quality products and data-driven business insights to its senior leadership team. With a focus on continuous improvement, operational excellence and cross-department collaboration, they're looking to bring in a talented Data Analyst to support their growth and performance goals.

Key Responsibilities

• Produce regular (monthly) performance reports covering manufacturing & sales for senior leadership.
• Identify, collect and migrate data from a variety of sources.
• Review data, identify trends and generate actionable business insight.
• Manipulate, analyse and interpret complex datasets for departments and the business as a whole.
• Monitor and audit data quality, ensuring accuracy, completeness and integrity.
• Develop dashboards, automated reports and visualisations.
• Work with internal departments to support understanding of the purpose and effectiveness of reviewing and acting on data trends.
• Collaborate with department managers to introduce new data streams for monitoring to ensure efficient business performance.
• Review existing data streams, highlight areas of concern or business improvement opportunities.
• Develop and promote best-practice approaches in how data is delivered, consumed and acted upon.

Key Skills & Experience:

Essential:

• Proven experience in data analysis, reporting or business intelligence, preferably within manufacturing.
• Proficiency with Excel, SQL, Power BI or Tableau)
• Strong ability to interpret complex data sets and extract meaningful business insight.
• Excellent attention to detail and focus on data quality and integrity.
• Effective communicator: able to explain data trends and insights to non-technical stakeholders.
• Comfortable working cross-functionally with department managers and senior leadership.

Desirable:

• Experience in manufacturing or sales operations context.
• Prior experience building dashboards or automated reporting solutions.
• Knowledge of data migration, ETL or data-warehouse concepts.
• Understanding of best practice data governance, data-stream design and monitoring.

Wigan - Hybrid working 3 days per weeks on site

30,000 - 40,000 DOE + Benefits

Please apply direct via Linkedin.

*Sponsorship is not available nor will it be available in the future for those on temporary visas. Applicants much be within a sensible commuting distance to Wigan to be considered*