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- Tasks: Dive into data analysis and support innovative projects with your analytical skills.
- Company: Join a forward-thinking company that values collaboration and creativity.
- Benefits: Enjoy a competitive salary, flexible work options, and opportunities for growth.
- Why this job: Make an impact by transforming business needs into actionable data insights.
- Qualifications: Strong SQL skills and a knack for organisation are essential.
- Other info: Experience in insurance is a bonus; thrive in a dynamic, agile environment.
The predicted salary is between 36000 - 60000 £ per year.
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
- 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
Data Analyst 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
✨Tip Number 1
Network like a pro! Reach out to people 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 can be a game-changer during interviews, as it gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common data-related questions and be ready to discuss your experience with data discovery and profiling. Practising with a friend can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Analysts like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Analyst
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 you have in the insurance or underwriting domain. We want to see how your background fits 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 analysis and how your skills can contribute to our team. Be sure to reference specific aspects of the job description that excite you.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's data discovery, profiling, or transformation logic design, we love seeing real examples of your work and how you’ve tackled similar challenges.
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 get all the updates directly from us. 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 understanding.
✨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.
✨Familiarise Yourself with Agile Methodologies
Since the role involves working within Scrum, it’s beneficial to understand Agile principles. Be prepared to discuss your experience with daily stand-ups, sprint planning, and how you’ve contributed to team workflows in previous roles. This shows you’re ready to hit the ground running.
