At a Glance
- Tasks: Manage and execute research projects, transforming data into actionable insights.
- Company: Join Bloomberg Intelligence, a leader in data-driven research and innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Opportunity to work with AI tools and collaborate with diverse teams.
- Why this job: Be part of a fast-paced team that influences investment decisions with cutting-edge data.
- Qualifications: 2-3 years in data analytics or research, strong Excel skills, and excellent communication.
The predicted salary is between 63000 - 77000 £ per year.
Bloomberg Intelligence (BI) delivers independent, data-driven research and interactive datasets integrated into the Bloomberg Terminal, helping investment professionals make decisions faster. BI combines analyst expertise with interactive data, proprietary models and emerging technologies, including AI and automation, to deliver faster, deeper and more differentiated research. With 500+ research professionals, BI provides company, credit, industry and strategy research across major global markets, covering 135+ industries and 2,000+ companies, including perspectives on company fundamentals as well as government policy, litigation and ESG.
Our research and datasets are delivered through curated Terminal dashboards and interactive research decks, with underlying data typically one click away, drawing on proprietary Bloomberg sources and 600+ data contributors. Bloomberg Intelligence is seeking a highly motivated and organized associate to join our Strategic Data and Content team in London for an initial 12 months contract. In this role, you will use your project management and analytical skills to help execute and evolve primary research, data science and expert content initiatives across Bloomberg Intelligence's global footprint.
Under the guidance of the Head of Strategic Data and Content you'll work closely with research analysts, editors and our marketing team to ensure the smooth delivery of a high volume of projects against agreed deadlines and objectives. There'll also be an opportunity to help design projects, contribute to the analysis and influence the final research output.
What's in it for you:
- Project Management: Juggle multiple research projects simultaneously, ensuring all deliverables are met on time without sacrificing quality.
- Primary Research: End-to-end oversight of consumer and B2B research surveys, working with analyst teams and external partners on questionnaire design, sample management, data analysis, report production and marketing.
- Data Translation: Working with analyst teams to transform raw survey data and proprietary datasets into compelling, action-oriented insights that support the broader investment research process.
- Stakeholder Collaboration: Partner with analyst teams, editorial, and marketing to understand research objectives and present data-driven findings clearly.
- Data Management & Visualization: Work with analyst teams and BI's Data Solutions team to build and maintain high-quality data models (Excel and on-terminal); and draft polished, impactful charts and presentations for internal and external audiences.
You need to have:
- Experience: Minimum of 2–3 years of professional experience working in a strategic insights, data analytics, or primary research role (ideally within financial services, market research or consulting).
- Research Acumen: Strong familiarity with the investment research process and an understanding of how proprietary data is used to develop unique market insights.
- Methodological Expertise: Proven track record of developing and administering primary research projects across consumer and B2B audiences.
- Technical & Analytical Skills: Highly numerate with advanced proficiency in MS Excel (complex formulas, data modeling) and MS PowerPoint (clear storytelling and data visualization).
- Communication: Exceptional English language skills (written and verbal) with strong interpersonal skills to collaborate effectively across teams.
- Project Management: Exceptionally well-organized with the proven ability to manage multiple projects in parallel and prioritize effectively under pressure.
- Mindset: A self-starter who is highly flexible, adaptable to changing priorities, and comfortable working with ambiguity.
We'd love to see:
- Familiarity with Python for data manipulation and analysis.
- An interest in, or exposure to, integrating AI tools into research workflows.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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Bloomberg Intelligence Strategic Data & Content Associate (12 Months Contract) employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. As a Senior Physical Security Technology Specialist, you will benefit from a culture that prioritises professional growth, with opportunities to lead impactful projects across the EMEA region while working alongside a team of dedicated security professionals. With a commitment to employee development and a focus on cutting-edge technology, Bloomberg provides a rewarding career path for those looking to make a meaningful impact in the security industry.
StudySmarter Expert Advice🤫
We think this is how you could land Bloomberg Intelligence Strategic Data & Content Associate (12 Months Contract)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Bloomberg before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Bloomberg Intelligence Strategic Data & Content Associate (12 Months Contract)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Bloomberg, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Bloomberg, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Bloomberg’s attention and show the tangible impact of your work.
How to prepare for a job interview at Bloomberg
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Bloomberg.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Bloomberg.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Bloomberg.
