At a Glance
- Tasks: Analyse data, create reports, and support decision-making with insights.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Gain hands-on experience, develop key skills, and learn from industry experts.
- Other info: Enjoy a supportive environment with opportunities for career growth.
- Why this job: Dive into the world of data and make a real impact on business decisions.
- Qualifications: Passion for data, strong analytical skills, and knowledge of Excel and Python.
The predicted salary is between 25000 - 32000 £ per year.
Responsibilities
- Analyse data from multiple systems and identify trends, issues and opportunities.
- Create reports, dashboards and visualisations that support decision-making.
- Maintain and update important business data.
- Investigate and resolve data quality issues.
- Support data cleansing, validation and process improvement activities.
- Assist with data integration and automation initiatives.
- Contribute to projects that use analytics and AI-enabled tools to improve efficiency.
- Collaborate with stakeholders to understand business requirements and deliver practical solutions.
Benefits
- Build practical experience working with real-world data.
- Develop skills in reporting, analytics and data management.
- Learn from experienced technology and business professionals.
- Gain exposure to financial markets and global operations.
- Work with modern tools and technologies.
- Grow career within a supportive and collaborative environment.
Qualifications
- A genuine interest in data, analytics and technology.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to organise and interpret information effectively.
- Strong communication skills, both written and verbal.
- Collaborative approach and willingness to learn.
- Good knowledge of Microsoft Excel.
- Knowledge of Python for data analysis.
- Familiarity with Power BI, Tableau or similar reporting tools.
- Understanding of data quality and data management principles.
Desirable
- A degree or qualification in a relevant field such as Data Analytics, Mathematics, Computer Science, Statistics, Economics or related discipline.
- Experience gained through academic projects, internships, placements or personal learning.
- Exposure to cloud technologies or machine learning concepts.
- Basic understanding of databases, data analysis or SQL.
We welcome applicants of all backgrounds and experiences.
#J-18808-Ljbffr
Trainee Data Analyst employer: Société Générale
Societe Generale is an excellent employer that prioritises employee growth and development, particularly for those starting their careers in IT. Located in the vibrant City of Westminster, you will benefit from a collaborative work culture that encourages learning and innovation, alongside hands-on experience with cutting-edge technology. With a commitment to supporting your professional journey, this role offers a unique opportunity to enhance your skills while being part of a diverse and dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Trainee Data Analyst
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Société Générale.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Société Générale, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Société Générale.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Société Générale, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Trainee Data Analyst
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Société Générale can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Société Générale and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Société Générale
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Société Générale that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Société Générale’s culture and workflow.
