Marcus by Goldman Sachs, Operations MI Analyst, Birmingham

CompanyGoldman Sachs

LocationWest Midlands, England, United Kingdom

Posted At1/20/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (56.0%).

Occupation Type

Data analysts

Occupation Code Skill LevelMedium Skilled

Sponsorship Salary Threshold

£41,700 (£21.38 per hour)

Standard minimum applies

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Description

Job Description

OUR IMPACT

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.

Marcus by Goldman Sachs

As the online consumer banking business of Goldman Sachs, Marcus operates as a digital bank, providing online savings products directly to individual consumers. Marcus combines Goldman Sachs' over 150 years of expertise with intuitive digital experiences, focusing on value, transparency, and simplicity for its millions of customers.

YOUR IMPACT

We’re 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 included 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're 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’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2025. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.