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- Tasks: Join our Data Analytics Team to enhance business intelligence and operational processes.
- Company: Goldman Sachs is a leading global investment management organisation focused on innovation.
- Benefits: Enjoy health programs, generous vacation, financial wellness support, and family care initiatives.
- Why this job: Be part of a dynamic team driving operational change and making a real impact.
- Qualifications: Bachelor’s degree in relevant fields and 2+ years of experience in data analytics required.
- Other info: Diversity and inclusion are core values; accommodations for candidates with disabilities are provided.
The predicted salary is between 36000 - 60000 £ per year.
Asset & Wealth Management (AWM), Client Operations, Data Analytics, Sr Analyst – London location_on London, Greater London, England, United Kingdom Opportunity Overview Sitemap_outline CORPORATE TITLE: Analyst Language: OFFICE LOCATION(S): London Assignment: JOB FUNCTION: Client Services – Operations Division: Asset & Wealth Management YOUR IMPACT We are seeking an experienced analyst-level candidate to join our Data Analytics Team who demonstrates the ability to think critically, exhibit sound judgment, and thrive in a fast-paced environment. You will contribute to developing business intelligence capabilities and deliverables for the Client Operations organization. OUR IMPACT Asset & Wealth Management (AWM) delivers innovative investment solutions through a global, multi-product platform. AWM is a leading investment management organization globally. Success relies on leveraging a global team to define solutions and lead operational change. Within AWM, Client Operations is a global sales-aligned service organization providing high-quality service and solutions to shareholders, enabling distribution of investment products, offering consultative services, and maintaining operational controls. The Data Analytics Team within Client Operations is responsible for reporting, analytics, and automation across the global footprint, focusing on process automation, operational KPIs, and business reporting. HOW YOU WILL FULFILL YOUR POTENTIAL As a member of the Data Analytics Team, your responsibilities include: Improving business & operational processes through automation and controls Developing and supporting the business intelligence codebase within Client Operations Owning expertise on data and systems underpinning workflows Resolving production issues impacting analytics and reporting Partnering with Technology to improve data and reporting capabilities Collaborating with Client Operations to identify and scope BI solutions Education Requirements Bachelor’s degree in Computer Science, Engineering, Finance, or related field. SKILLS & EXPERIENCE WE’RE LOOKING FOR Basic Skills: 2+ years of experience, including at least one year in data science/business intelligence Experience with relational databases and SQL Experience in Python Experience with Tableau or similar reporting tools Ability to multitask under pressure Ability to analyze large datasets and relate data points to business processes Strong communication skills Sound judgment and integrity Preferred Skills: Knowledge of Jira, Confluence, Git Experience with Alteryx or similar workflow tools About Goldman Sachs Goldman Sachs is committed to diversity and inclusion, offering opportunities for professional and personal growth through various programs, benefits, and wellness initiatives. Learn more at GS.com/careers. We provide accommodations for candidates with disabilities during recruiting. More info: https://www.goldmansachs.com/careers/footer/disability-statement.html Benefits Includes health and welfare programs, generous vacation policies, financial wellness and retirement support, health services, fitness centers, child care, and family care programs. Read more about our benefits on our website. #J-18808-Ljbffr
Asset & Wealth Management (AWM), Client Operations, Data Analytics, Sr Analyst - London London [...] employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset & Wealth Management (AWM), Client Operations, Data Analytics, Sr Analyst - London London [...]
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, and Tableau. Having hands-on experience or projects showcasing your skills with these technologies can set you apart during the interview process.
✨Tip Number 2
Network with professionals in the Asset & Wealth Management sector, especially those working in data analytics roles. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills and analytical thinking. Be ready to discuss how you've improved business processes through data analysis or automation in your previous roles.
✨Tip Number 4
Showcase your ability to work under pressure by sharing examples from your past experiences where you successfully managed multiple tasks or projects simultaneously. This will demonstrate your fit for the fast-paced environment at StudySmarter.
We think you need these skills to ace Asset & Wealth Management (AWM), Client Operations, Data Analytics, Sr Analyst - London London [...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, business intelligence, and any specific tools mentioned in the job description, such as SQL, Python, and Tableau. Use keywords from the job listing to align your skills with what the company is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your critical thinking abilities and sound judgment. Discuss how your previous experiences have prepared you for the fast-paced environment of the Data Analytics Team and how you can contribute to improving business processes.
Showcase Relevant Projects: If you have worked on projects involving data analysis or automation, be sure to include these in your application. Describe your role, the tools you used, and the impact of your work on the overall project outcomes.
Highlight Soft Skills: In addition to technical skills, emphasise your strong communication skills and ability to multitask under pressure. Provide examples of how you've successfully collaborated with teams or resolved issues in past roles.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used data analytics in previous roles. Highlight your experience with SQL, Python, and any reporting tools like Tableau, as these are crucial for the role.
✨Demonstrate Problem-Solving Abilities
Be ready to explain how you've tackled complex problems in fast-paced environments. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your critical thinking.
✨Familiarise Yourself with the Company
Research Goldman Sachs and their Asset & Wealth Management division. Understand their values, recent news, and how the Data Analytics Team fits into their overall strategy. This will help you tailor your answers and show genuine interest.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask about the team dynamics, ongoing projects, or the company's approach to innovation in data analytics. This shows your enthusiasm and helps you assess if the company is the right fit for you.
