Data Analyst

Newcastle upon Tyne, England, North East

Temporary

Location:

Newcastle/Leeds

Working hours:

Monday - Friday (37 hours)

Long‑term opportunity with a view to take on permanent employment

Hybrid working

Responsible for transforming raw operational, commercial, and technical data into clear, actionable insights. This role will leverage Snowflake, Power BI, and other enterprise systems to develop reliable data models, automated reporting, and intuitive dashboards that support evidence‑based decision‑making across the business.

• Degree in Data Science, Computer Science, Engineering, Mathematics, or related discipline, or equivalent experience
• Professional certifications (e.g., Snowflake Snow Pro, Microsoft Power BI Data Analyst) beneficial

• Extract, transform, and load (ETL) data from multiple sources, primarily using Snowflake, SQL, and associated pipelines
• Ensure high data quality, integrity, consistency, and availability
• Develop repeatable processes for data cleansing and validation

• Design, build, and maintain Power BI dashboards and reports for operational, commercial, and strategic use
• Optimise dashboard performance, parameterisation, and data refresh logic
• Work with stakeholders to define KPIs, metrics, and data visualisation standards

• Analyse large datasets to identify trends, patterns, and opportunities for improvement
• Provide insights that support Continuous Improvement, operational performance, root cause analysis, and forecasting
• Produce clear written and verbal summaries tailored to technical and non‑technical audiences

• Work closely with cross‑functional teams (Operations, Engineering, Service, Finance, Supply Chain, etc.) to understand their data needs
• Translate business questions into structured analytical problems
• Provide training and knowledge sharing on dashboards, reports, and data tools

• Support data governance, cataloguing, and security frameworks
• Maintain documentation for data sources, models, definitions, and dashboard usage
• Ensure compliance with internal data policies and procedures

• Strong experience with SQL (Snowflake preferred)
• Proficiency building Power BI dashboards, DAX formulas, and data models
• Experience working with cloud‑based data warehousing platforms
• Understanding of ETL / ELT concepts, data modelling, and data architecture
• Proficient in Excel and general data manipulation tools

• Ability to interpret large datasets into actionable insights
• Strong problem‑solving and structured analysis capabilities
• Ability to create meaningful visuals and simplify complex information

• Excellent communication and stakeholder management
• Ability to work independently and prioritise multiple requests
• Strong documentation and reporting discipline

Kinetic plc is a Recruitment Consultancy with over 40 years' experience delivering staffing solutions to the engineering, manufacturing and technical industries.

Kinetic plc treats all applications confidentially and we review all submissions. Those that do not meet the specification may not be contacted but their CV will be retained for consideration against future opportunities.