Marcus by Goldman Sachs, Operations MI Analyst, Birmingham
Marcus by Goldman Sachs, Operations MI Analyst, Birmingham

Marcus by Goldman Sachs, Operations MI Analyst, Birmingham

Birmingham Full-Time 30000 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse operational data and create insightful reports to enhance performance.
  • Company: Join Goldman Sachs, a leading global investment banking firm with a focus on innovation.
  • Benefits: Enjoy competitive pay, professional development, and a diverse workplace culture.
  • Why this job: Make a real impact by driving performance improvements in a dynamic digital banking environment.
  • Qualifications: Experience in data analysis and strong communication skills are essential.
  • Other info: Collaborative team atmosphere with opportunities for personal and professional growth.

The predicted salary is between 30000 - 42000 £ per year.

Overview

Across Asset Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our direct-to-consumer business provides digital solutions that help customers save and invest. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.

Your Impact

We are looking for an Operations MI (Management Information) Analyst who will be responsible for delivering high-quality data analysis and reporting to support the effective management of our operations function including our call centre operations. This role plays a crucial part in driving performance improvements, identifying trends, and providing actionable insights to management teams. The ideal candidate will possess strong analytical skills, a keen attention to detail, and the ability to communicate complex information clearly to stakeholders.

If you work in an operational environment producing high-quality data reports and have strong collaboration, MI analyst and Data Entry skills, we want to hear from you.

What You'll Do

  • Collect, analyse, and interpret operational data from multiple areas, including servicing teams, payments operations, complaints, financial crime, back-office processing, and call centre/performance data.
  • Produce accurate, timely MI reports and dashboards that support operational, regulatory, and strategic decision-making across the call centre.
  • Develop, enhance, and maintain reporting tools (e.g., Power BI dashboards, automated Excel/SQL reporting) ensuring data integrity and alignment with business priorities.
  • Monitor key operational KPIs such as productivity, volumes, quality metrics, SLA performance, turnaround times, customer outcomes, and error rates — including call centre KPIs such as call volumes, AHT, ASA, service levels, and agent productivity.
  • Provide reporting packs and ad-hoc deep-dives, highlighting trends, risks, variances, and opportunities for performance improvement.
  • Support operational forecasting, capacity planning, and scenario modelling using historical and real-time data.
  • Partner closely with operational leaders, transformation teams, risk & compliance, and technology to improve data flows, reporting processes, and insight generation.
  • Contribute to regulatory, audit, risk and governance reporting, ensuring alignment with FCA expectations and internal operational risk frameworks.
  • Present insights clearly to technical and non-technical stakeholders at all levels.
  • Ensure all MI processes and outputs adhere to governance, data quality, security, and confidentiality standards.

Requirements

  • Proven experience in a similar MI analyst, data analyst, or reporting role within a retail banking, financial services operational or call centre customer service environment.
  • Strong proficiency in data analysis tools and software, such as Microsoft Excel, SQL, Power BI, Tableau or equivalent reporting platforms.
  • Demonstrable ability to manipulate, interpret, and present large data sets accurately and efficiently.
  • Excellent attention to detail, organisational, and time-management skills.
  • Effective communication skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Solid understanding of call centre KPIs, operations, and performance metrics.
  • Experience with forecasting, capacity planning or workforce management and resource planning tools is advantageous.
  • Ability to work independently and as part of a collaborative team.
  • High level of integrity and commitment to maintaining data confidentiality.
  • Analytical mindset with a proactive approach to problem-solving.

Basic Qualifications

  • Proficient in Microsoft Excel, SQL, Power BI, or equivalent reporting platforms.
  • Familiarity with contact center metrics such as AHT, ASA and shrinkage.

Preferred Qualifications

  • Familiarity with regulatory compliance requirements (e.g., GDPR) within a call centre context.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We are committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We are committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process.

Marcus by Goldman Sachs, Operations MI Analyst, Birmingham employer: Goldman Sachs

Goldman Sachs is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. Located in Birmingham, the Operations MI Analyst role provides opportunities to engage with cutting-edge technology and data analysis while contributing to impactful decision-making processes. With a commitment to diversity and inclusion, as well as comprehensive benefits and wellness programmes, Goldman Sachs fosters an environment where every individual can thrive both professionally and personally.
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Contact Detail:

Goldman Sachs Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Marcus by Goldman Sachs, Operations MI Analyst, Birmingham

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Goldman Sachs, especially those in operations or MI roles. A friendly chat can give you insider info and maybe even a referral!

✨Tip Number 2

Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss how you've used tools like Excel or Power BI in past roles. Show us you can turn numbers into actionable insights!

✨Tip Number 3

Don’t just focus on your technical skills; highlight your communication abilities too. Practice explaining complex data in simple terms. We want to see you can connect with both techies and non-techies alike!

✨Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Goldman Sachs team. Let’s get you that job!

We think you need these skills to ace Marcus by Goldman Sachs, Operations MI Analyst, Birmingham

Data Analysis
Reporting Skills
Microsoft Excel
SQL
Power BI
Tableau
Attention to Detail
Communication Skills
Operational KPI Monitoring
Forecasting
Capacity Planning
Problem-Solving Skills
Collaboration
Data Confidentiality
Regulatory Compliance Knowledge

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Operations MI Analyst role. Highlight your experience with data analysis tools like Excel and SQL, and showcase how your skills align with the job description.

Showcase Your Analytical Skills: We want to see your analytical prowess! Include specific examples of how you've used data to drive performance improvements or insights in previous roles. This will help us understand your problem-solving approach.

Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon. Remember, we need to easily grasp your experience and skills, so keep it simple and to the point!

Apply Through Our Website: Don’t forget to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Goldman Sachs

✨Know Your Data Tools

Make sure you're well-versed in the data analysis tools mentioned in the job description, like Excel, SQL, and Power BI. Brush up on your skills and be ready to discuss how you've used these tools in past roles to analyse and present data effectively.

✨Understand Call Centre Metrics

Familiarise yourself with key call centre KPIs such as Average Handling Time (AHT), Average Speed of Answer (ASA), and service levels. Be prepared to explain how these metrics impact operational performance and how you can contribute to improving them.

✨Prepare for Scenario Questions

Expect questions that ask you to analyse a hypothetical situation or data set. Practice articulating your thought process clearly and logically, demonstrating your analytical mindset and problem-solving skills. This will show that you can think on your feet and provide actionable insights.

✨Communicate Clearly

Since you'll need to present complex data to both technical and non-technical stakeholders, practice simplifying your explanations. Use examples from your previous experience to illustrate how you've successfully communicated insights in the past, ensuring everyone understands the implications of the data.

Marcus by Goldman Sachs, Operations MI Analyst, Birmingham
Goldman Sachs
Location: Birmingham

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