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For Companies At a Glance
- Tasks: Transform raw data into actionable insights using Snowflake and Power BI.
- Company: Join Kinetic plc, a leading recruitment consultancy with 40 years of experience.
- Benefits: Enjoy hybrid working, competitive pay, and potential for permanent employment.
- Why this job: Make a real impact by analysing data and supporting decision-making across the business.
- Qualifications: Degree in Data Science or related field; experience with SQL and Power BI preferred.
- Other info: Collaborate with diverse teams and grow your skills in a dynamic environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Location: Newcastle/Leeds
Working hours: Monday - Friday (37 hours)
Long‑term opportunity with a view to take on permanent employment
Hybrid working
The Role
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.
Qualifications
- 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
Key Responsibilities
- 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
Skills & Experience
- 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
Data Analyst employer: KineticPlc
Contact Detail:
KineticPlc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events in Newcastle. The more you engage with others, the better your chances of hearing about job openings before they’re advertised.
✨Show Off Your Skills
Create a portfolio showcasing your data analysis projects. Use platforms like GitHub to share your work with potential employers. This gives us a chance to see your skills in action, especially with tools like Power BI and SQL!
✨Ace the Interview
Prepare for common data analyst interview questions and practice explaining your thought process. We want to see how you approach problems and communicate insights, so be ready to discuss your past experiences and how they relate to the role.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with SQL, Power BI, and any relevant projects that showcase your skills in data management and analytics. We want to see how you can transform raw data into actionable insights!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your background aligns with our needs. Don’t forget to mention your familiarity with tools like Snowflake and your analytical skills.
Showcase Your Projects: If you've worked on any relevant projects, whether in school or professionally, make sure to include them. We love seeing real examples of how you've used data to drive decisions or improve processes. It helps us understand your practical experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at KineticPlc
✨Know Your Tools Inside Out
Make sure you’re well-versed in Snowflake, Power BI, and SQL. Familiarise yourself with their functionalities and be ready to discuss how you've used them in past projects. This will show your potential employer that you can hit the ground running.
✨Prepare for Data Scenarios
Think of real-world data problems you’ve solved before. Be prepared to walk through your thought process on how you approached data cleansing, validation, or creating dashboards. This will demonstrate your analytical skills and problem-solving abilities.
✨Understand the Business Context
Research the company and its industry. Understand what kind of data insights they might need and how your role as a Data Analyst can contribute to their goals. This shows that you’re not just a techie but also someone who understands the bigger picture.
✨Practice Clear Communication
Since you'll be working with cross-functional teams, practice explaining complex data concepts in simple terms. Prepare to give examples of how you've communicated insights to both technical and non-technical audiences. This will highlight your ability to engage with stakeholders effectively.