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- Tasks: Join our team as a Data Analyst, focusing on financial data analysis and visualisation.
- Company: We are a leading IT services firm, dedicated to innovative data solutions for clients in the UK.
- Benefits: Enjoy flexible working options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team, tackle real-world challenges, and make an impact with your data skills.
- Qualifications: 4+ years in data analysis, strong SQL and Python skills, and a degree in a quantitative field.
- Other info: Contract position with a chance to work on exciting projects across various regions.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a highly skilled Data Analyst to join our team, working with clients in the UK. The ideal candidate will have a strong background in data analysis, visualization, and programming, with a focus on financial and investment data.
General Responsibilities:
- Collaborate with our Advisory Team business partners to understand key business objectives and define analytical frameworks and approaches to support them.
- Build advanced scripts in SQL and Python by connecting to a series of databases in the lake.
- Build advanced dashboards in PowerBI and Tableau by connecting data from D365, Datalake and Excel files.
- Iterate on existing data assets and provide quick turnarounds to ad-hoc insight requests from key Advisory Team stakeholders.
- Deliver and manage the lifecycle of a data project by working closely with both technical and non-technical teams across organizations and regions.
- Provide solutions to automate manual data reporting across teams who may be leveraging 3rd party data in Excel and execute.
- Document end-to-end data reporting processes managed within Advisory Team.
Key Requirements:
- Minimum 4 years’ experience in a data analyst/science role within the investment and finance industry.
- Bachelor’s and/or Masters in a highly quantitative degree discipline (e.g. Mathematics, Statistics, Finance, Computer Science or Economics) are highly desired.
- Advanced SQL, Python and Excel (VBA Macros is desirable).
- Strong proficiency in building dashboards in both PowerBI and Tableau.
- Experience in using AWS Athena and HIVE/Presto.
- Experience working within an agile framework and comfortable using project management tooling like JIRA.
- Proven experience presenting complex data findings and concepts to business stakeholders of varying levels of data literacy.
- Experience using statistical techniques and modelling is highly desirable.
- Previous exposure to working with CRM Databases, specifically D365 is highly desirable.
Seniority level: Not Applicable
Employment type: Contract
Job function: Information Technology
Industries: IT Services and IT Consulting
- Data Analyst - CONTRACT employer: CI&T
Contact Detail:
CI&T Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land - Data Analyst - CONTRACT
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, PowerBI, and Tableau. Consider creating a small project or portfolio piece that showcases your skills in these areas, particularly focusing on financial data analysis.
✨Tip Number 2
Network with professionals in the finance and investment sectors. Attend industry meetups or webinars where you can connect with potential colleagues or mentors who might provide insights into the role and the company culture at StudySmarter.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies and project management tools like JIRA. Be ready to share examples of how you've successfully collaborated with both technical and non-technical teams in past projects.
✨Tip Number 4
Brush up on your presentation skills, as you'll need to convey complex data findings to stakeholders with varying levels of data literacy. Practise explaining your previous projects in a clear and concise manner, highlighting the impact of your work.
We think you need these skills to ace - Data Analyst - CONTRACT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analysis, particularly within the investment and finance industry. Emphasise your skills in SQL, Python, and dashboard creation using PowerBI and Tableau.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in this Data Analyst position and how your background aligns with the company's needs. Mention specific projects or experiences that demonstrate your ability to deliver insights and collaborate with teams.
Showcase Relevant Projects: If you have worked on relevant data projects, include them in your application. Describe your role, the tools you used (like AWS Athena or HIVE/Presto), and the impact of your work on previous employers or clients.
Highlight Communication Skills: Since presenting complex data findings is crucial for this role, make sure to mention any experience you have in communicating data insights to stakeholders. Provide examples of how you've tailored your communication style to different audiences.
How to prepare for a job interview at CI&T
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and data visualisation tools like PowerBI and Tableau. Bring examples of dashboards you've built or scripts you've written to demonstrate your technical prowess.
✨Understand the Business Context
Familiarise yourself with the financial and investment sectors. Be ready to explain how your analytical frameworks can support business objectives, and think about how you can add value to the Advisory Team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Think of scenarios where you've had to deliver quick insights or automate reporting processes, and be ready to discuss your approach and the outcomes.
✨Communicate Complex Ideas Simply
Practice explaining complex data findings in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap between technical and non-technical teams, which is crucial for this role.
