At a Glance
- Tasks: Build dashboards and develop applications to enhance business efficiency using Power BI, Python, and SQL.
- Company: Join a forward-thinking company focused on data-driven decision-making.
- Benefits: Enjoy a competitive salary, performance bonuses, gym contributions, and private health insurance.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make a real impact by transforming data into actionable insights and improving business processes.
- Qualifications: Expertise in Power BI, Python, SQL, and strong stakeholder management skills required.
The predicted salary is between 40000 - 50000 € per year.
About the Role
The Analytics Engineer will sit within the Core Systems & Technology (MIS) function and be responsible for building dashboards, developing internal applications, and improving system integration across the business. The role will leverage Power BI, Python, and SQL to deliver scalable data and automation solutions that support operational efficiency and decision-making.
Key Responsibilities
- Own the end-to-end lifecycle of dashboards and internal applications supporting core business systems
- Develop and maintain Power BI dashboards to provide actionable business insights
- Build and manage ETL processes and data models using Python and SQL
- Integrate systems to improve data flow and maximise operational efficiency
- Partner with stakeholders across the business to gather requirements and deliver solutions
- Analyse existing business processes and identify opportunities for improvement
- Proactively engage with stakeholders to enhance reporting, automation, and system capabilities
Key Skills & Experience
- Expert-level Power BI development
- Strong Python scripting skills (including API integrations – REST/SOAP)
- Experience with ETL processes and data modelling
- Strong SQL and database management expertise
- Ability to translate business requirements into technical solutions
- Strong stakeholder management and communication skills
Nice to Have
- JavaScript, HTML, CSS
- Salesforce development experience (Apex, Lightning Web Components, SOQL)
Benefits
- Discretionary performance bonus - (circa 10-20%)
- Pension – We contribute 5% if you contribute 4%.
- Life Insurance – Coverage is 3x your annual salary.
- Critical Illness Cover – Provided as part of your benefits package.
- Gym Contribution – £25 per month towards gym membership.
- Private Health Insurance – Provided via Bupa with no excess; only tax is payable.
- Healthcare Cash Plan – Covers expenses such as opticians, dental care, physiotherapy, etc.
- Annual Leave – 25 days of paid holiday per year.
- Sick Pay – Up to 10 working days of paid sick leave; thereafter, Statutory Sick Pay (SSP) applies.
Vision RT is an Equal Opportunity / Affirmative Action employer, all qualified applicants will receive consideration for employment and development without regard to race, colour, religion, sexual orientation, gender, national origin, disability, or protected veteran status.
Analytics Engineer (Power BI/Python/ETL) - 24 month Fixed term contract employer: Vision RT Ltd
At Vision RT, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Analytics Engineer role not only provides competitive benefits such as a discretionary performance bonus, private health insurance, and a generous pension scheme, but also presents ample opportunities for professional growth and development within a supportive environment. Located in a vibrant area, our team is dedicated to enhancing operational efficiency through cutting-edge technology, making it a rewarding place to contribute your skills and expertise.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Power BI/Python/ETL) - 24 month Fixed term contract
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards, Python scripts, and any ETL processes you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business side of things. Be ready to discuss how your experience aligns with the role and how you can help improve operational efficiency.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analytics Engineer (Power BI/Python/ETL) - 24 month Fixed term contract
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with Power BI, Python, and SQL, and don’t forget to showcase any relevant projects or achievements that demonstrate your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the role. Mention specific experiences that relate to the key responsibilities and skills listed in the job description.
Showcase Your Technical Skills:Since this role requires strong technical abilities, make sure to include examples of your work with ETL processes, data modelling, and any API integrations you've done. This will help us see your hands-on experience.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it, so don’t miss out!
How to prepare for a job interview at Vision RT Ltd
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, Python, and SQL. Brush up on your skills and be ready to discuss specific projects where you've used these tools. Being able to share real examples will show your expertise and how you can add value.
✨Understand the Business Needs
Before the interview, research the company and its core business systems. Think about how your role as an Analytics Engineer can improve operational efficiency. Be prepared to discuss how you would gather requirements from stakeholders and translate them into actionable insights.
✨Showcase Your Problem-Solving Skills
Prepare to talk about past experiences where you identified opportunities for improvement in existing processes. Highlight your analytical thinking and how you’ve successfully implemented solutions that enhanced reporting or automation.
✨Engage with Stakeholders
Demonstrate your strong communication skills by discussing how you’ve partnered with different teams in the past. Share examples of how you’ve effectively managed stakeholder expectations and delivered solutions that met their needs.
