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For Companies At a Glance
- Tasks: Transform complex data into actionable insights and support Azure migration for enterprise clients.
- Company: Join a forward-thinking company that values collaboration and innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data processes and enhancing business intelligence.
- Qualifications: Experience in SQL, data analysis, and a passion for problem-solving.
- Other info: Work in an agile environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Responsibilities & Skills
- Gather client requirements, build technical designs and translate complex data into business insights.
- Support Azure migration, enhance scalability and centralize reporting for enterprise clients.
- Build and optimize SQL queries and ETL pipelines for enterprise reporting and BI analysis.
- Automate reconciliation processes and develop parameterized/ad hoc reports for self-service BI.
- Collaborate with clients and QA teams to ensure accuracy, usability, and performance of analytical datasets.
- Implement role-based security and data governance compliance for enterprise reports.
- Develop and optimize stored procedures and queries to support operational and analytical systems.
Project & Collaboration
- Agile (Kanban, SAFe), Jira, stakeholder engagement, requirements gathering, project scoping
Databases & Data Modeling
- T-SQL, SQL Server, DB2, Azure SQL, Data Warehouse architecture
ETL / Data Pipelines
- Informatica PowerCenter, Control-M
Programming & Tools
- VBA (basic), .NET, PowerShell, API testing
Version Control & CI/CD
- GitHub, Tortoise SVN, Continuous Integration methodologies
Data Governance & Security
- Role-based access, encryption, dynamic masking, data quality management
BI & Reporting
- Power BI, SSRS, Microsoft Excel
Data Analyst in Milton Keynes employer: GAK ENTERPRISES LTD
Contact Detail:
GAK ENTERPRISES LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Analyst role.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and data modelling skills. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key!
✨Tip Number 3
Showcase your projects! If you've worked on any cool data visualisations or reports, make sure to have them ready to share. We love seeing real examples of your work that demonstrate your skills in BI and reporting.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Analyst in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights the skills and experiences that match the job description. We want to see how your background in data analysis, SQL, and BI tools aligns with what we're looking for.
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 you can contribute to our team. We love seeing enthusiasm and a good fit for our culture.
Showcase Your Projects: If you've worked on relevant projects, don't hold back! Share examples of your work with SQL queries, ETL pipelines, or any BI tools you've used. We want to see your practical experience in action.
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’s super easy!
How to prepare for a job interview at GAK ENTERPRISES LTD
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like SQL Server and Power BI. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've gathered client requirements and translated complex data into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand Agile Methodologies
Since the role involves Agile practices, be ready to discuss your experience with Kanban or SAFe. Highlight any projects where you collaborated with teams using these methodologies to deliver results.
✨Emphasise Data Governance Knowledge
Familiarise yourself with data governance principles, especially role-based security and compliance. Be prepared to explain how you’ve implemented these in previous roles to ensure data quality and security.
