At a Glance
- Tasks: Create stunning dashboards and robust data pipelines using Amazon QuickSight.
- Company: Join a leading tech giant focused on data-driven insights.
- Benefits: Competitive pay, hybrid work model, and opportunities for skill development.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Make an impact by transforming data into actionable insights for real-world applications.
- Qualifications: Experience in BI development, dashboard creation, and advanced SQL skills required.
The predicted salary is between 49500 - 60500 £ per year.
We are looking for a skilled BI Developer / Analytics Engineer to join a team focused on creating comprehensive dashboards and robust data pipelines. This is a great opportunity for someone with strong expertise in dashboard development, data transformation, and analytics who can bridge the gap between backend data processing and frontend visualization — ensuring operational teams have access to reliable, actionable insights.
Key Responsibilities
- Design, develop, and deliver user-friendly, visually compelling dashboards, primarily using Amazon QuickSight.
- Execute complex data wrangling, cleaning, and transformation tasks, primarily using SQL, to prepare datasets for analysis.
- Discover, connect to, and process data from a variety of sources, combining traditional relational databases with modern AWS cloud data services (e.g. S3, Athena, Redshift, and Glue).
- Translate business needs for data presentation and narrative into non-technical KPIs, charts, and dashboards.
- Work closely with business stakeholders to gather, understand, and translate requirements into technical specifications.
Required Skills & Experience
- Professional background as a BI Developer, Analytics Engineer, Data Analyst, or similar role involving dashboard development.
- Proven expertise in dashboard creation and development, with deep practical experience and a strong command of Amazon QuickSight essential for this role.
- Extensive experience in advanced SQL for data manipulation and transformation across complex datasets.
- Solid understanding of data engineering concepts (e.g. ETL pipelines, data quality, and governance).
- Experience with Python for data processing, automation, and other analytics workflows where applicable.
- Strong communication skills and the ability to work collaboratively with cross-functional teams.
Duration: 6 months
IR35 Status: Inside IR35
Working Pattern: Hybrid — 2 to 3 days per week on-site in London
BI Developer employer: Lorien
As a leading employer in the Cyber Security sector, we offer an engaging work culture that prioritises collaboration and innovation. Our Stevenage location provides a dynamic environment where employees can thrive, with opportunities for professional growth and development, including support for further security clearances. Join us to be part of a team dedicated to countering cyber threats while enjoying competitive pay and a commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land BI Developer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
We think you need these skills to ace BI Developer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
