At a Glance
- Tasks: Analyse data and support migration to Databricks in a dynamic insurance environment.
- Company: Leading insurance business with a focus on data transformation.
- Benefits: Competitive pay, mostly remote work, and potential for long-term engagement.
- Other info: Inclusive culture welcoming diverse backgrounds and perspectives.
- Why this job: Join a major data transformation programme and make a real impact.
- Qualifications: Experience in data migration, Databricks, and Azure environments required.
Initially for 6 months with long term potential. Mostly remote, 1 day per month in the South West. Leading Insurance business is looking for an experienced Technical Data Analyst to join a major data transformation programme, supporting the migration of data platforms to Databricks within an Azure environment.
Role:
- Perform detailed analysis of source data and existing data landscapes
- Produce and maintain source-to-target mapping documentation
- Analyse data quality, data lineage and transformation requirements
- Work closely with Data Engineers to prepare and define migration requirements
- Document business and technical data specifications
- Engage with business and technical stakeholders throughout the migration lifecycle
Skills/Experience:
- Proven experience as a Technical Data Analyst on data migration programmes
- Strong Databricks experience, ideally within migration or modernisation initiatives
- Experience working within Azure data environments
- Excellent source-to-target mapping and data analysis skills
- Insurance sector experience is essential
- Strong stakeholder management and documentation capabilities
This is a hands-on contract role suited to a technical analyst who enjoys deep-diving into complex datasets and bridging the gap between business requirements and data engineering delivery.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Technical Data Analyst- Databricks Migration- Insurance employer: Sanderson Recruitment
Join a leading insurance business that values innovation and collaboration, offering a flexible mostly remote working environment with just one day a month in the South West. As a Technical Data Analyst, you'll be part of a major data transformation programme, with opportunities for professional growth and development while working alongside experienced data engineers and engaging with diverse stakeholders. Our commitment to respect and equality fosters an inclusive culture where your contributions are valued, making this an excellent place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Analyst- Databricks Migration- Insurance
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data analytics sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous data migration projects, especially any work with Databricks or Azure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data analysis and migration. We recommend practising with a friend or using mock interview platforms to build your confidence.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Technical Data Analyst- Databricks Migration- Insurance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience as a Technical Data Analyst, especially with Databricks and Azure. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
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. Mention your experience in data migration and how you’ve successfully engaged with stakeholders in the past.
Showcase Your Analytical Skills:In your application, give examples of how you've performed detailed analysis of source data and produced source-to-target mapping documentation. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the recruitment process!
How to prepare for a job interview at Sanderson Recruitment
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with it, especially in migration or modernisation projects. Prepare examples of how you've used Databricks to solve complex data issues.
✨Master Source-to-Target Mapping
Since this role involves producing and maintaining source-to-target mapping documentation, be prepared to explain your approach to this process. Bring along examples of previous mappings you've created and be ready to discuss the challenges you faced and how you overcame them.
✨Engage with Stakeholders
Strong stakeholder management is key for this position. Think about times when you've successfully engaged with both business and technical stakeholders. Be ready to share how you navigated differing priorities and ensured everyone was on the same page during a project.
✨Showcase Your Data Analysis Skills
Prepare to dive deep into your data analysis skills. Be ready to discuss your methods for analysing data quality, lineage, and transformation requirements. Consider bringing a case study that highlights your analytical process and the impact it had on a previous project.
