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 in London 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 generous annual leave, but also presents ample opportunities for professional growth and development within a supportive environment. Located in a vibrant area, our team is dedicated to leveraging cutting-edge technology to drive operational efficiency and make a meaningful impact across the business.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer (Power BI/Python/ETL) - 24 month Fixed term contract in London
✨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 in London
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 passionate about the role and how your background aligns with our needs. Be sure to mention specific examples of how you've improved processes or delivered insights in previous roles.
Showcase Your Technical Skills:Since this role requires strong technical abilities, make sure to include any relevant certifications or courses you've completed. If you've worked on ETL processes or data modelling, share those experiences to show us what you can bring to the table.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 support their operational efficiency. This will help you tailor your answers and demonstrate that you’re not just technically skilled but also understand the bigger picture.
✨Prepare for Stakeholder Scenarios
Since stakeholder management is key, think of examples where you’ve successfully gathered requirements or improved processes. Be ready to discuss how you engage with different teams and translate their needs into technical solutions. This shows you’re a team player who can communicate effectively.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss challenges you’ve faced in previous roles, especially related to ETL processes or data integration. Highlight how you identified issues and implemented solutions. This will demonstrate your analytical thinking and ability to enhance reporting and automation.
