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For Companies At a Glance
- Tasks: Design and maintain high-quality dashboards, turning data into actionable insights.
- Company: Inclusive tech firm focused on bespoke solutions for top-tier financial institutions.
- Benefits: 25 days holiday, medical insurance, gym subsidy, and a pension plan.
- Other info: Great career growth opportunities in a supportive environment.
- Why this job: Join a dynamic team and make a real impact in the world of data analytics.
- Qualifications: Experience with BI tools, SQL, and strong communication skills.
The predicted salary is between 56000 - 70000 £ per year.
About the Role
Adaptive Financial Consulting Ltd is an inclusive employer and a member of MyGwork, the largest global platform for the LGBTQ+ business community. We design, build, and run bespoke, real‑time, front‑to‑back technology for tier‑one investment banks and commodity trading firms. We’re hiring a BI Analyst to join our Data & Analytics team in London or Barcelona. The team sits at the heart of the company, turning raw data into clarity, alignment, and momentum. You’ll report directly to our Head of Data & Analytics.
Responsibilities
- Design, build, and maintain high‑quality dashboards and reports in Power BI and Metabase (Databricks)
- Own KPI definitions, metrics, and dimensional models used across the business
- Build and maintain a governed semantic layer with consistent logic and access controls
- Create and manage a single, trusted catalog of dashboards and reports, including ownership, certification, and lifecycle
- Ensure row‑level and column‑level security is correctly implemented
- Enable self‑serve analytics through certified datasets, templates, and training
- Partner with stakeholders to translate business needs into reusable BI assets
- Define and monitor SLAs/SLOs for data freshness, accuracy, and dashboard performance
- Monitor refreshes and query performance and continuously improve reliability and speed
Qualifications
- Strong experience with a BI tool (Power BI, Looker, or Tableau)
- Solid SQL and experience shaping analytics‑ready data models
- Proven dashboard UX skills (layout, filters, drill paths, clarity)
- Experience with semantic modelling, KPIs, and metric governance
- Experience with data security and access control
- A track record of building performant, reliable BI
- Clear communication skills with both technical and non‑technical stakeholders
Benefits
- 25 days holiday
- Family medical and dental
- Life insurance and long‑term disability insurance
- Gym subsidy
- Pension with a 5% match
- Season ticket loan
- Cycle scheme
Mid BI Analyst - London - up to 70K depending on experience employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mid BI Analyst - London - up to 70K depending on experience
✨Tip Number 1
Network like a pro! Reach out to current employees at Adaptive Financial Consulting on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio of your best BI dashboards and reports. When you land that interview, bring it along to demonstrate your expertise and creativity.
✨Tip Number 3
Tailor your approach! Research the company’s projects and challenges. During interviews, mention how your experience with Power BI and SQL can directly help them achieve their goals.
✨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 take that extra step!
We think you need these skills to ace Mid BI Analyst - London - up to 70K depending on experience
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the BI Analyst role. Highlight your experience with Power BI, SQL, and any relevant projects that showcase your dashboard UX skills. We want to see how your background 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 and analytics, and how you can contribute to our team. Don’t forget to mention your experience with KPI definitions and semantic modelling.
Showcase Your Technical Skills: When filling out your application, be sure to highlight your technical skills clearly. Mention your proficiency in BI tools and any experience with data security and access control. We love seeing candidates who can communicate effectively with both technical and non-technical stakeholders!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your BI Tools Inside Out
Make sure you’re well-versed in Power BI, Looker, or Tableau. Be ready to discuss your experience with these tools, including specific projects where you've designed dashboards or reports. Highlight any unique features you’ve implemented that improved user experience or data clarity.
✨Showcase Your SQL Skills
Brush up on your SQL knowledge before the interview. Be prepared to explain how you've shaped analytics-ready data models and how you ensure data accuracy. You might even be asked to solve a SQL problem on the spot, so practice common queries and data manipulation techniques.
✨Communicate Clearly with Stakeholders
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you successfully translated business needs into BI assets, and be ready to share how you ensured everyone was on the same page.
✨Understand Data Security and Governance
Familiarise yourself with best practices for data security and access control. Be prepared to discuss how you’ve implemented row-level and column-level security in past roles. This shows you take data governance seriously and understand its importance in BI.