At a Glance
- Tasks: Join our team to build scalable data solutions and automate reporting processes.
- Company: S&P Global, a leader in financial analytics and insights.
- Benefits: Enjoy health coverage, flexible time off, and continuous learning opportunities.
- Other info: Be part of an inclusive culture that values diversity and innovation.
- Why this job: Make a real impact by transforming data into actionable insights for global markets.
- Qualifications: 5+ years in data programming with strong skills in Python, R, and SQL.
The predicted salary is between 55000 - 65000 £ per year.
This job is with S P Global, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.
About the Role:
Grade Level (for internal use): 10
The Team:
The Index Business Intelligence group delivers research, reporting and insights that drive strategic and commercial decisions. We track industry trends, competitor activity, and client needs to inform market positioning and drive business growth.
The Role:
We are seeking a Data Engineer to join the Business Intelligence group with a strong emphasis on data programming, analytics, automation, and repeatable reporting. This is a hands-on role for someone who enjoys working deeply in data-building scalable reporting pipelines, performing market and commercial analysis, and translating stakeholder questions into structured datasets and insights.
You will partner cross-functionally with BI, Sales, Product, Research, Finance, Legal, and other stakeholders-serving as a key connector who can turn ambiguous questions into well-defined metrics, robust data logic, and clear outputs.
Key Responsibilities:
- Own the end-to-end development and delivery of recurring reporting, ensuring accuracy, consistency, and timeliness.
- Build and maintain automated, code-driven workflows to replace manual reporting processes using Python, R, and SQL.
- Develop and maintain scalable analytical products, including compliance summaries, client profiling, KPI scorecards, leadership dashboards, and strategic performance updates.
- Create reusable datasets (cleaned, labeled, documented) that enable self-service analytics and consistent definitions across teams.
- Implement robust data validation and quality checks (completeness, reconciliations, anomaly detection, and trend monitoring).
- Maintain clear documentation for reporting logic, metric definitions, transformations, and assumptions, so analyses are reproducible and scalable.
- Communicate technical constraints, tradeoffs, and findings to non-technical stakeholders in clear, practical language.
What we are looking for:
Basic Qualifications (Required)
- 5+ years of experience in a role centered on data programming, analytics engineering, BI analytics, or advanced data analysis.
- Must have advanced proficiency in Python (especially pandas) or R and SQL.
- Proven ability to manage large datasets, transform data at scale, and build repeatable data pipelines.
- Experience designing automated reporting solutions.
- Strong analytical judgment, attention to detail, and ability to independently investigate and resolve data discrepancies.
- Proven ability to work cross-functionally and translate stakeholder needs into clear metrics, definitions, and technical implementations.
Preferred Qualifications
- Experience designing data tagging and labeling frameworks for regulatory or audit use, especially using LLMs.
- Familiarity with regulatory reporting requirements specifically within financial services or asset management.
- Exposure to international financial regulatory frameworks.
About S P Global Dow Jones Indices
At S P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction.
Whats In It For You?
Our Mission: Advancing Essential Intelligence.
Our People: We are more than 35,000 strong worldwide-so we are able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
Our Values: Integrity, Discovery, Partnership
Benefits:
- Health Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
- Family Friendly Perks: S P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S P Global: At S P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions.
Equal Opportunity Employer: S P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.
Engineer, Index Business Intelligence (Data Programming & Analytics) in Suffolk employer: S&P Global
Contact Detail:
S&P Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer, Index Business Intelligence (Data Programming & Analytics) in Suffolk
✨Tip Number 1
Network like a pro! Reach out to current employees at S&P Global on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role focuses on data programming and analytics, practice coding in Python, R, and SQL. Be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t just focus on your technical skills; highlight your ability to communicate complex data insights clearly. Practice explaining your past projects to someone without a technical background. This will show you can bridge the gap between data and decision-making.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at S&P Global. Don’t miss out on this opportunity!
We think you need these skills to ace Engineer, Index Business Intelligence (Data Programming & Analytics) in Suffolk
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with Python, R, and SQL, and showcase how your skills align with the responsibilities mentioned in the job description.
Showcase Your Projects: Include specific examples of projects where you've built scalable reporting pipelines or automated reporting solutions. This will help us see your hands-on experience and how you tackle real-world data challenges.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and how they translate to business insights. Remember, we want to see how you can communicate complex ideas simply!
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 see what you bring to the table!
How to prepare for a job interview at S&P Global
✨Know Your Data Tools
Make sure you brush up on your Python, R, and SQL skills before the interview. Be ready to discuss specific projects where you've built automated reporting solutions or managed large datasets. This will show that you can hit the ground running in the role.
✨Understand the Business Context
Familiarise yourself with S&P Global's mission and values, especially how they relate to data-driven decision-making. Being able to connect your technical skills to their business goals will demonstrate your understanding of the role's impact.
✨Prepare for Cross-Functional Collaboration
Since this role involves working with various teams, think of examples where you've successfully collaborated across departments. Highlight how you translated complex data into actionable insights for non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the Index Business Intelligence group and their current projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.