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For Companies At a Glance
- Tasks: Build data foundations, create dashboards, and automate reporting using AI analytics.
- Company: Global tech company revolutionising finance with AI-driven software.
- Benefits: Competitive daily pay, flexible hours, and a chance to work with cutting-edge technology.
- Other info: Dynamic role with opportunities for growth and inclusivity in the workplace.
- Why this job: Make an impact by improving customer journeys and leveraging innovative AI tools.
- Qualifications: Experience in Data Analytics, SQL proficiency, and strong communication skills.
The predicted salary is between 40000 - 45000 ÂŁ per year.
We are partnering with a global technology company that uses AI to deliver financial software. The role is a contract Data Analyst (up to Oct 2026) with a pay of ÂŁ217.09 per day (37.5 hrs/week PAYE). The Data Analyst will build data foundations, provide dashboards, automate reporting, and embed AI analytics into operations.
Key Responsibilities
- Collaborate with engineering to develop robust data pipelines, improve data integrity, and define metrics and governance for diverse markets.
- Create and maintain scalable, user‑friendly dashboards that provide visibility into key performance metrics across the customer journey.
- Deliver deep‑dive analytics, conduct root‑cause analysis, and translate findings to actionable recommendations that improve customer journeys, staffing, and routing decisions.
- Leverage Generative AI tools to automate recurring insights, support AI‑powered summarization and anomaly detection, and identify opportunities for intelligent automation.
- Support experimentation and continuous improvement by analysing A/B tests, digital experience evaluations, and measuring the impact of AI‑assisted initiatives.
- Communicate insights and trends clearly to technical and non‑technical stakeholders to influence strategy.
Must‑Have Qualifications
- Experience in Data Analytics or Data Science, preferably with exposure to Customer Success, Operations, or Digital Experience.
- Proficiency in SQL for data extraction, transformation, and pipeline development.
- Experience with dashboarding and visualization tools (e.g., Tableau, Qlik).
- Familiarity with big‑data tools (Snowflake, Databricks, Spark) and ETL processes.
- Enthusiasm for Generative AI and a growth mindset.
- Strong communication skills for presenting analytical findings.
- Problem‑solving skills with the ability to balance strategic priorities and tactical execution.
- Ability to manage multiple projects in a fast‑paced environment.
- Proactive mindset, identifying innovation opportunities.
- BS or MS in an appropriate quantitative field is preferred.
Nice‑to‑Have Qualifications
- Experience with Python or R for advanced analytics or experimentation.
- Knowledge of statistical methods and experimentation (A/B testing).
- Machine learning and Generative AI experience.
- Hands‑on experience with Generative AI in analytics workflows.
- Experience working with call‑center or digital‑support KPIs.
Equal Employment Opportunity
Aquent is dedicated to improving inclusivity and is an equal opportunities employer. Applications from under‑represented groups are encouraged and accommodations will be provided for applicants with disabilities.
Data Analyst [209883] in London employer: Aquent
Contact Detail:
Aquent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst [209883] in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, dashboards, and any cool AI tools you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you can demonstrate your problem-solving skills and your experience with SQL and dashboarding tools.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from enthusiastic candidates who are ready to dive into the world of data analytics and AI. Your next opportunity could be just a click away!
We think you need these skills to ace Data Analyst [209883] in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Analytics and any relevant tools you've used, like SQL or Tableau. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background fits with our needs. We love seeing enthusiasm for Generative AI and a growth mindset, so let that passion come through!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for candidates who can balance strategic priorities with tactical execution, so share those stories that highlight your problem-solving prowess!
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Aquent
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with dashboarding tools like Tableau or Qlik. Be ready to discuss how you've used these tools in past projects, as they'll want to see your hands-on experience.
✨Showcase Your Analytical Mindset
Prepare to talk about specific instances where you've conducted deep-dive analytics or root-cause analysis. Think of examples that highlight your problem-solving skills and how your insights led to actionable recommendations.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to translate your insights into clear strategies is key.
✨Embrace Generative AI
Since the role involves leveraging Generative AI, be prepared to discuss your enthusiasm for it. Share any relevant experiences you have with AI tools, especially in automating insights or enhancing analytics workflows.