At a Glance
- Tasks: Support the MI team in data collection, analysis, and reporting using innovative tools.
- Company: Join Schroders, a leading global investment manager with a rich history.
- Benefits: Flexible working arrangements, inclusive culture, and opportunities for professional growth.
- Other info: Gain insights across departments and enhance your skills in a dynamic environment.
- Why this job: Dive into the world of data and help shape business decisions that matter.
- Qualifications: Interest in data, strong technical aptitude, and a collaborative spirit.
The predicted salary is between 29700 - 36300 £ per year.
We are seeking a motivated and analytical individual to join our Management Information (MI) team under Platform Business Management. This role is ideal for candidates who have an interest in technology, enjoy learning and working with different automation and data visualisation tools, and are keen to learn how data supports business decisions.
The MI team is responsible for the collection, analysis, and presentation of data that supports decision-making for senior management. We use data to assess business performance, inform strategic decisions, and enhance operational efficiency. We work with data from all over the business including finance, headcount and risk and from across all teams in the Global Operating Platform.
The successful candidate will support the team in interpreting information, helping to create Power BI reports that are used for decision making by senior management. Engaging with various departments at Schroders, you will gain a comprehensive understanding of how key performance indicators are identified and measured, enabling you to contribute meaningfully to our operational excellence. You’ll need to enjoy learning new skills and working in a busy environment with tight deadlines. We are looking for someone with a positive attitude who is flexible, willing to learn, and ready to contribute to the success of the team.
What You'll Do:
- Support the MI team in gathering, checking, and organising data from various sources within the business.
- Assist in updating and maintaining regular management information reports and dashboards, using tools such as Alteryx, Power Automate and Power BI.
- Work with the team to help ensure data quality and consistency across all information gathered.
- Support the development and execution of the Global Operating Platform strategy and initiatives.
The Knowledge, Experience And Qualifications You Need:
- Interest in working with data and learning about management information reporting.
- Demonstrated technical aptitude, with the ability to quickly learn and adapt to new tools.
- While prior experience with specific technologies such as Alteryx or Microsoft Power Platform applications (e.g., Power Automate, Power Query, Power BI) is advantageous, candidates should be able to show strong overall technical proficiency and a proven capacity to rapidly acquire new technical skills.
- Able to work effectively as part of a supportive and collaborative team.
- Strong attention to detail and a conscientious approach to tasks.
- Good written and verbal communication skills.
- Ability to problem solve, a curious mindset and interest in process improvement.
- Organised and able to manage time to meet deadlines.
The Knowledge, Experience And Qualifications That’ll Help:
- Industry Knowledge: Specific knowledge related to the asset management or financial services industry.
- Programming Skills: Basic knowledge of programming languages such as SQL, Python or R.
We recognise potential, whoever you are. Our purpose is to deliver excellent investment performance to clients through active management. We believe diverse perspectives and an inclusive culture help us make better decisions and achieve better outcomes for our clients. That's why inclusion is a strategic priority for us, and we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic. We will consider flexible working arrangements for all roles and provide reasonable accommodations to support applicants and employees, including those with neurodiversity, disability, or physical and mental health needs.
Global Operating Platform MI Analyst employer: Schroders
Schroders is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront of our Asset Management team in London. We offer robust employee growth opportunities, competitive benefits, and a commitment to diversity of thought, ensuring that every voice is heard and valued. Join us to lead transformative architectural initiatives that drive measurable business value in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Global Operating Platform MI Analyst
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Schroders!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Global Operating Platform MI Analyst at Schroders.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Schroders.
✨Apply Directly through Our Website
When you find a suitable opening like Global Operating Platform MI Analyst at Schroders, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Global Operating Platform MI Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Schroders, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Schroders. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Schroders
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Schroders!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
