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- Tasks: Analyse data and support business needs through detailed design artefacts.
- Company: Dynamic consulting firm with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
- Why this job: Join a team where your analytical skills can drive real business impact.
- Qualifications: Strong SQL skills and a knack for organisation; insurance experience is a bonus.
- Other info: Engage in a fast-paced environment with potential for full-time conversion.
The predicted salary is between 36000 - 60000 £ per year.
Work Mode: Hybrid (2 days in office)
Duration: 02 – 03-year contract, then conversion to full time permanent
Develops detailed data design artefacts to support LOB discovery and design for Release 3. Ensures data elements, transformations, and lineage are clearly defined to support development.
Role Details and Deliverables:
- Conduct data discovery and profiling for each LOB
- Translate business needs into data requirements and mapping
- Support ingestion, cleansing, and transformation logic design
Deliverables:
- Process Maps
- User Stories & Acceptance Criteria
- Requirements Documents
- Workflow Diagrams
Personas, Skills, and Requirements:
- Strong SQL and analytics skills
- Highly organized and comfortable working with ambiguity
- Insurance or underwriting domain experience a plus
Ways of Working:
- Works within Scrum depending on data tasks
- Uses ADO for work item tracking
- Daily stand-ups
- Sprint planning and backlog refinement
- Data-specific workshops with SMEs
- Provides weekly updates on data deliverables
- Maintains data risks, dependencies, and decisions
- Contributes to RAID and reporting packs
Email: Sonica.kaur@stellarconsulting.com
Data Analyst in London employer: Stellar Consulting Solutions, LLC
Contact Detail:
Stellar Consulting Solutions, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work as Data Analysts. Join relevant groups on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and data analysis work. This is your chance to shine and demonstrate what you can bring to the table. Make sure to include any relevant experience from the insurance or underwriting domain.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of data design artefacts. Be ready to discuss how you've tackled ambiguity in past projects. We want to see how you think and solve problems!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Data Analyst role!
We think you need these skills to ace Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your SQL and analytics skills, and don’t forget to mention any experience in the insurance or underwriting domain. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience with data discovery and profiling, and how you can contribute to our projects. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's process maps, user stories, or workflow diagrams, we love seeing practical examples of your work that demonstrate your skills.
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. Plus, it’s super easy!
How to prepare for a job interview at Stellar Consulting Solutions, LLC
✨Know Your SQL Inside Out
As a Data Analyst, strong SQL skills are crucial. Brush up on your SQL queries and be ready to demonstrate your ability to manipulate and analyse data. Prepare for potential technical questions or even a live coding exercise during the interview.
✨Understand the Business Context
Familiarise yourself with the insurance or underwriting domain if you can. Knowing how data impacts business decisions in this field will help you translate business needs into data requirements effectively. Research common challenges faced in the industry to show your proactive approach.
✨Be Organised and Ready for Ambiguity
The job requires someone who is highly organised and comfortable working with ambiguity. Prepare examples from your past experiences where you've successfully navigated unclear situations or managed multiple tasks. This will demonstrate your adaptability and organisational skills.
✨Engage in the Scrum Process
Since the role involves working within a Scrum framework, brush up on Agile methodologies. Be prepared to discuss your experience with daily stand-ups, sprint planning, and how you’ve contributed to team dynamics in previous roles. Showing familiarity with these processes will set you apart.
