At a Glance
- Tasks: Drive data-informed decisions through A/B testing and advanced statistical analysis.
- Company: Join CI&T, a global leader in AI-driven business solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment that values diversity and fosters innovation.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: 3+ years in Power BI, strong SQL skills, and experience in statistical analysis.
The predicted salary is between 45000 - 55000 £ per year.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We're seeking a Senior Data Analyst to join our client's team in Central London. You'll play a pivotal role in driving data-informed decision-making through advanced A/B testing, statistical analysis, and enterprise-level business intelligence solutions. This is a client-facing position where you'll work embedded within the client's team, requiring strong autonomy, initiative, and the ability to represent CI&T professionally. This is a hybrid role requiring 3-4 days per week on-site at the client's Central London offices (Euston area).
Position Overview
- A/B Testing & Statistical Analysis
- Design, implement, and analyze A/B tests to measure product and feature performance
- Apply statistical methods to ensure test validity and generate actionable insights
- Present findings and recommendations to stakeholders
- Business Intelligence & Data Modeling
- Design, build, and optimize semantic data models in Power BI for self-service analytics and enterprise reporting
- Develop and maintain high-performance Power BI dashboards, reports, and datasets
- Partner with data engineering teams to define and validate data pipelines in Databricks
- Ensure seamless integration between data sources and BI models
- Data Governance & Collaboration
- Collaborate with cross-functional teams to translate business requirements into scalable BI solutions
- Implement best practices in data governance, performance optimization, and security
- Monitor and resolve data quality, integrity, and dashboard performance issues
- Act as a trusted advisor to client stakeholders on data analytics matters
Must Haves
- Power BI Expertise: 3+ years developing enterprise-level dashboards and semantic data models
- Statistical Analysis: Strong capability in experimental design, A/B testing methodologies, and statistical inference
- Technical Skills: Advanced SQL for complex queries and data manipulation
- Python: for data analysis and automation (pandas, numpy, scipy, etc.)
- Data Engineering Knowledge: Familiarity with ETL processes, data integration tools, and modern data platforms (e.g., Databricks)
- Data Visualization: Proven ability to transform complex data into clear, compelling visual narratives
- Communication: Excellent stakeholder management and presentation skills; fluent English (written and verbal)
- Working Style: Demonstrated autonomy, initiative, and ability to work independently in client environments
Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
[Job-31207] Data Analyst, UK - 6 Month FTC in London employer: Ciandt
At Ciandt, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture that values diversity and innovation. Our team members enjoy opportunities for professional growth through hands-on projects in cutting-edge technology, particularly in the financial services sector, while benefiting from a supportive environment that encourages creativity and skill development. Join us in our mission to enable AI capabilities and make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land [Job-31207] Data Analyst, UK - 6 Month FTC in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Ciandt before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Ciandt.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Ciandt.
We think you need these skills to ace [Job-31207] Data Analyst, UK - 6 Month FTC in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Ciandt, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Ciandt, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Ciandt’s attention and show the tangible impact of your work.
How to prepare for a job interview at Ciandt
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Ciandt.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Ciandt.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Ciandt.
