Data Analyst
Role details
Job location
Tech stack
Job description
Kinetic are currently recruiting for a Data Analyst to work alongside one of our valued clients in a dynamic and fast-paced environment., 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., Data Management & Processing:
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.
Reporting & Dashboard Development:
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.
Analytics & Insights:
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.
Collaboration & Stakeholder Engagement:
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.
Governance & Best Practice:
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
Requirements
Degree in Data Science, Computer Science, Engineering, Mathematics, or related discipline or equivalent experience. Professional certifications (e.g., Snowflake SnowPro, Microsoft Power BI Data Analyst) beneficial., Technical Skills:
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.
Analytical Skills:
Ability to interpret large datasets into actionable insights. Strong problem-solving and structured analysis capabilities. Ability to create meaningful visuals and simplify complex information.
Professional Skills:
Excellent communication and stakeholder management. Ability to work independently and prioritise multiple requests. Strong documentation and reporting discipline.
Benefits & conditions
Monday - Friday working hours (37) Long term opportunity with a view to take on permanent Hybrid working Location - Newcastle/Leeds
