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- Tasks: Transform high-level data outputs into structured artefacts for migration and modernisation.
- Company: Join a large organisation with a diverse and inclusive culture.
- Benefits: Competitive pay of £500 per day, flexible work arrangements, and professional growth opportunities.
- Why this job: Make a real impact by bridging business and tech in a dynamic environment.
- Qualifications: Strong data analysis experience and ability to work independently and collaboratively.
- Other info: Engage with cutting-edge tools like AWS, Azure, and Power BI.
The predicted salary is between 40000 - 60000 £ per year.
We are looking for a Senior Data Analyst to join a large-scale transformation programme within a complex enterprise environment. This is a hands-on, analytical role where you will take high-level discovery outputs and turn them into clear, structured data artefacts that support migration and modernisation efforts.
The Role
- Act as the bridge between business, architecture, and engineering teams, owning the understanding of as-is vs to-be data landscapes and driving clarity across multiple data streams.
- Review and interpret discovery & handover documentation.
- Define and build data dictionaries, logical & physical data models.
- Produce entity relationship diagrams, data flows, and mappings.
- Analyse data structures (data types, PK/FK relationships, capture methods).
- Support migration from legacy systems into modern platforms.
- Work across a variety of data sources (spreadsheets to decommissioned systems).
- Capture and manage requirements via Jira (user stories, tickets).
- Collaborate closely with ETL engineers, architects, and developers.
- Engage directly with stakeholders – setting up and leading client meetings.
Environment
- Large organisation with AWS & Azure estate.
- Ongoing migration to Power Platform.
- Reporting & dashboards via Power BI.
- Some exposure to tools like Databricks beneficial.
What We’re Looking For
- Strong experience as a Data Analyst in complex environments.
- Proven ability to work independently and client-facing.
- Deep understanding of data modelling & data analysis principles.
- Experience bridging technical and non-technical teams.
- Comfortable working across multiple data streams.
- Experience alongside ETL/data engineering teams.
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.
Senior Data Analyst - Entity Relationship Diagrams employer: Sanderson Government & Defence
Contact Detail:
Sanderson Government & Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Entity Relationship Diagrams
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data analysis. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and entity relationship diagrams. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills through a portfolio! Create a few sample projects that highlight your ability to produce entity relationship diagrams and data models. This will give you an edge when discussing your experience.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Analyst - Entity Relationship Diagrams
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with data modelling, entity relationship diagrams, and any relevant tools like Power BI or Databricks. We want to see how your skills align with our needs!
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 specific projects where you've bridged technical and non-technical teams, and how you’ve tackled complex data environments. Let us know what makes you tick!
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Provide examples of how you've turned high-level discovery outputs into structured data artefacts. We love seeing real-world applications of your skills!
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 – just a few clicks and you’re done!
How to prepare for a job interview at Sanderson Government & Defence
✨Know Your Data Models
Make sure you brush up on your knowledge of data modelling principles and entity relationship diagrams. Be ready to discuss how you've previously defined and built data dictionaries or logical/physical data models, as this will show your hands-on experience in the field.
✨Understand the Business Context
Familiarise yourself with the business environment and the specific challenges they face. Being able to articulate how your analytical skills can bridge the gap between technical and non-technical teams will demonstrate your value as a Senior Data Analyst.
✨Prepare for Stakeholder Engagement
Since you'll be engaging directly with stakeholders, practice how you would set up and lead client meetings. Think about how you can effectively capture and manage requirements using tools like Jira, and be prepared to share examples from your past experiences.
✨Showcase Your Technical Skills
Be ready to discuss your experience with various data sources and tools, especially AWS, Azure, and Power BI. Highlight any exposure to Databricks and how you've supported migrations from legacy systems to modern platforms, as this will align well with their ongoing transformation programme.