At a Glance
- Tasks: Monitor real-time data and optimise schedules in a fast-paced contact centre.
- Company: Join the dynamic team at Goldman Sachs in Birmingham.
- Benefits: Gain valuable experience, develop your skills, and work in a supportive environment.
- Other info: Collaborate with various teams and enjoy opportunities for growth.
- Why this job: Make a real impact by ensuring top-notch service levels and mentoring others.
- Qualifications: Strong data skills, Excel proficiency, and excellent communication are key.
The predicted salary is between 30000 - 40000 £ per year.
Goldman Sachs is seeking a Workforce Analyst to join the workforce team in Birmingham.
The role focuses on real-time monitoring, intraday scheduling, and ensuring service levels in a busy contact centre.
You will produce monthly KPI reports, optimize schedules with Team Leaders, and mentor the Workforce Specialists.
Strong data skills, Excel proficiency, and clear communication are essential.
Experience with Verint is a plus, and you will collaborate across operations, risk, and customer service
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Real-Time Workforce Analyst in Birmingham employer: Goldman Sachs Group, Inc.
Goldman Sachs is an exceptional employer, offering a dynamic work environment in Birmingham that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, a strong emphasis on work-life balance, and the chance to be part of a leading global financial institution that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Workforce Analyst in Birmingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Goldman Sachs Group, Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Real-Time Workforce Analyst at Goldman Sachs Group, Inc..
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Goldman Sachs Group, Inc..
✨Apply Directly through Our Website
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We think you need these skills to ace Real-Time Workforce Analyst in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Goldman Sachs Group, Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Goldman Sachs Group, Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Goldman Sachs Group, Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Goldman Sachs Group, Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
