At a Glance
- Tasks: Develop ETL processes and create interactive dashboards for data analysis.
- Company: Join a leading financial firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on operational efficiency and risk management.
- Why this job: Make an impact by leveraging data to drive strategic decisions.
- Qualifications: Degree in a relevant field and experience in Business Intelligence or Data Analytics.
The predicted salary is between 50000 - 60000 € per year.
Our Impact
The Corporate Planning & Management (CPM) division integrates financial planning, spend management, third‐party risk management, product management and engineering teams to support strategic decisions across the firm. Finance & Planning drives business planning, budgeting, and analytics across revenue, expense, liquidity, and capital. The pillar includes divisional CFOs providing strategic finance advisory, Product Finance managing non‐compensation expense governance, and Corporate Insurance & Advisory overseeing the firm's insurance needs and risk mitigation.
Global Procurement strategically manages third‐party engagement, optimizing value and mitigating risks across the supply chain. Key functions include Strategic Sourcing, Third‐Party Risk Management (TPRM), Procure to Pay (P2P), Travel, and Sustainable Operations driving ESG initiatives.
Product & Reporting manages the product lifecycle for CPM technology platforms and delivers comprehensive reporting, dashboards, and analytics. The team oversees financial planning and analysis systems, spend management tools, and TPRM solutions while providing stakeholders with actionable insights for evidence‐based decisions.
CPM Engineering provides engineering solutions enabling third‐party spend management, data automation, budget planning, financial forecasting, and expense allocation aligned with strategic objectives. CPM Management provides strategic oversight, operational support, communications and change management, and risk governance across the division.
Job Description
The BI Specialist role sits within the Product & Reporting team. The role requires collaboration with different functions across the firm on a regular basis, an ability to work independently, and ability to interact with senior professionals across the firm. This entails in‐depth data analysis and producing reporting for senior management, requiring diligence and a commercial mindset. The candidate is required to work closely with global counterparts. Should have excellent verbal and written communication skills.
Your Impact
Professionals in CPM have an analytical mindset, exhibit intellectual curiosity and are from diverse academic backgrounds.
Job Responsibilities
- Develop ETL (Extract, Transform and Load) processes to integrate data from various sources into a centralized data warehouse to provide a comprehensive view of operational and third‐party risk across the firm.
- Analyze data to identify patterns, trends, and anomalies that may indicate potential risks. Utilize BI tools to develop interactive dashboards to visualize these key risk indicators and performance metrics.
- Leverage innovative skills to identify potential areas to create operational efficiencies and automate manual processes.
- Leverage program owners, working groups and other stakeholders to enable enhancements to the workflow or key metrics.
- Partner with engineering teams to develop scalable business processes and data pipelines to support our clients.
- Manage prioritization and stakeholder engagement to maximize delivery towards established business goals.
Qualifications
- Graduate or Undergraduate degree in Computer Science, Statistics, Math, Engineering or related field.
- Minimum of 4 years of experience in Business Intelligence / Data Analytics.
- Analytical, self‐motivated, detail‐oriented with strong problem‐solving skills.
- Ability to communicate clearly with end users, development managers and other stakeholders.
- Ability to work within a high‐risk environment and meet challenging deadlines and targets.
- Proficient in database query languages (such as SQL) and Data Visualization (platforms such as Power BI, QlikSense).
- Experience with using multi‐dimensional data modelling/data warehousing for data analytics and reporting.
Preferred Qualifications
- Data governance and modelling experience.
- Experience in gathering and documenting requirements with full testing traceability.
- Experience in predictive analytics using tools such as Python, or R.
- Certifications: Relevant certifications in database technologies (e.g., Certified Data Professional), ETL Tools and BI Platforms (e.g., Power BI/ Power Platform specialist).
Equal Opportunity
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Corporate Planning & Management, Product & Reporting - BI Specialist, Associate, Birmingham in West Bromwich employer: Goldman Sachs
Goldman Sachs is an exceptional employer, offering a dynamic work environment in Birmingham that fosters collaboration and innovation. With a strong focus on employee growth, the Corporate Planning & Management division provides opportunities for professional development through diverse projects and cutting-edge technology. The inclusive culture and commitment to strategic decision-making ensure that every team member's contributions are valued, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Corporate Planning & Management, Product & Reporting - BI Specialist, Associate, Birmingham in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to current employees in the CPM division on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past BI projects or data analysis work. When you get that interview, having tangible examples will help you stand out and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analytics and BI tools. Mock interviews with friends or mentors can help you refine your answers and boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Corporate Planning & Management, Product & Reporting - BI Specialist, Associate, Birmingham in West Bromwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the BI Specialist role. Highlight your analytical mindset and any relevant experience in data analytics or business intelligence. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Don’t forget to mention your ability to work independently and collaborate with senior professionals.
Showcase Your Technical Skills:Since this role involves ETL processes and BI tools, make sure to highlight your proficiency in SQL and any experience with data visualisation platforms like Power BI. We love seeing candidates who can demonstrate their technical prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Goldman Sachs
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools mentioned in the job description, like SQL and Power BI. Brush up on your ETL processes and be ready to discuss how you've used these tools in past roles to drive insights and efficiencies.
✨Showcase Your Analytical Mindset
Prepare examples that highlight your analytical skills and problem-solving abilities. Think of specific instances where you identified trends or anomalies in data and how that impacted decision-making. This will demonstrate your fit for the role's focus on data analysis.
✨Communicate Clearly and Confidently
Since the role involves interacting with senior professionals, practice articulating your thoughts clearly. Prepare to explain complex data concepts in simple terms, as this will show your ability to communicate effectively with various stakeholders.
✨Demonstrate Collaboration Skills
The job requires working closely with different teams, so be ready to discuss your experience in collaborative environments. Share examples of how you’ve partnered with engineering teams or other stakeholders to achieve business goals, showcasing your teamwork and engagement skills.