Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collect, clean, and analyse data to deliver actionable insights for clients.
- Company: Join a collaborative company known for innovative projects with leading organisations.
- Benefits: Enjoy fully remote work, a flexible 4-day week, and potential contract extension.
- Why this job: Work on high-impact projects while honing your data storytelling and analytical skills.
- Qualifications: 3+ years as a Data Analyst; expert in SQL, Python, and Excel required.
- Other info: This is a part-time contract role lasting 2-3 months with full UK working rights needed.
This role focuses on analysing and translating data between legacy and future‑state systems, rather than reporting or dashboarding. You’ll work at the intersection of business, data, and technology, ensuring data is accurate, aligned, and fit for purpose throughout the transition.
- Analyse and compare current-state and future-state data.
- Map data between legacy and target systems.
- Identify gaps, risks, and data quality issues.
- Validate future-state data against business and regulatory needs.
- Work closely with business, data engineering, and architecture teams.
- Document data mappings, transformations, and findings.
- Support testing during system migration and decommissioning.
Requirements
- Strong background as a Data Analyst in complex data environments.
- Advanced SQL skills (including translating logic from tools such as SAS).
- Experience with legacy system migration or SAS decommissioning.
- Proven data mapping and gap analysis experience.
- Financial services background (insurance preferred).
- Strong analytical skills and clear communication.
#J-18808-Ljbffr
Data Analyst – Data and Analytics employer: Tech Contracts Online
Contact Detail:
Tech Contracts Online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst – Data and Analytics
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, and Excel. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Practice your data storytelling skills by creating presentations based on your analyses. This will help you articulate your findings clearly and compellingly, which is crucial for impressing stakeholders.
✨Tip Number 3
Network with current or former Data Analysts in similar roles. They can provide insights into the interview process and what the company values most in candidates, giving you an edge.
✨Tip Number 4
Prepare for potential technical assessments by brushing up on your SQL and Python skills. You might be asked to solve problems or analyse datasets during the interview, so practice is key.
We think you need these skills to ace Data Analyst – Data and Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Excel. Include specific projects or roles where you demonstrated data analysis skills and data storytelling abilities.
Craft a Compelling Cover Letter: In your cover letter, emphasise your hands-on experience with data analysis tools and your ability to generate actionable insights. Mention how your skills align with the requirements of the role and your enthusiasm for working remotely.
Showcase Relevant Projects: If possible, include links to any relevant projects or dashboards you've created in your application. This could be through a portfolio or GitHub repository, demonstrating your proficiency in data visualisation and analysis.
Prepare for Data Storytelling: Think about how you would present your findings to stakeholders. Prepare examples of how you've communicated complex data insights in the past, as this is a key part of the role.
How to prepare for a job interview at Tech Contracts Online
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Excel in detail. Bring examples of complex queries you've written or projects where you've used these tools to derive insights. This will demonstrate your hands-on expertise.
✨Prepare for Data Storytelling
Since the role requires strong data storytelling abilities, think about how you can present your findings compellingly. Practice explaining a past project where you turned data into actionable insights, focusing on the impact it had on the business.
✨Familiarise Yourself with BI Tools
If you have experience with BI tools like Power BI or Tableau, be ready to discuss specific dashboards or reports you've created. If not, consider doing a quick tutorial to understand their functionalities, as this could impress the interviewers.
✨Demonstrate Critical Thinking
Prepare to answer questions that assess your critical thinking skills. Think of scenarios where you identified trends or patterns in data and how you approached solving those business problems. This will highlight your analytical mindset.
