At a Glance
- Tasks: Analyse data to enhance business processes and support growth at Moneycorp.
- Company: Join Moneycorp, a leader in global payments with a collaborative culture.
- Benefits: Competitive salary, private medical insurance, and flexible working options.
- Other info: Inclusive workplace culture that values diversity and fosters belonging.
- Why this job: Make an impact by solving complex problems with data in a dynamic environment.
- Qualifications: 2 years in data analytics, SQL skills, and experience with Tableau or similar tools.
The predicted salary is between 37800 - 46200 £ per year.
Who We Are: Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise. With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award-winning service. In 2024, we supported $1tn+ of payment volume, reaching 190 countries in 130 currencies. Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major payment rails, and our proprietary technology.
Moneycorp is a place where energy, commitment, and collaboration are core to our values of shared success. We’re restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey. The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business.
Role Purpose: Working within the New Product Development ('Skunkworks') team, the Data Analyst will provide data-driven solutions that enhance business processes, improve operational efficiencies, and support business growth and revenue generation. The role is responsible for developing insightful reports and analytical solutions that enable informed decision-making across multiple business units and entities. The person in this role will also help increase data awareness across the organisation by educating stakeholders on the effective use of internal data and supporting the delivery of Moneycorp's data strategy.
We're looking for a curious, analytical and proactive individual with a passion for data and technology who enjoys solving complex business problems, managing multiple priorities, and working collaboratively with stakeholders across the organisation. You will be comfortable translating business needs into meaningful analytical solutions and capable of communicating insights clearly to both technical and non-technical audiences.
Role Responsibilities:
- Respond accurately and efficiently to data requests from throughout the business.
- Engage with the stakeholders to provide a foundation of understanding of the data.
- Scope, develop and test new solutions using data to solve business needs.
- Enhance data analytics and processing across the Moneycorp ecosystem.
- Provide innovative suggestions to solve business issues.
- Engage with a wide range of stakeholders to understand how data can assist and enhance their processes.
What We’re Looking For:
Essential Knowledge, Skills & Experience:
- 2 years' experience in a data analytics, business intelligence, or related role.
- Experience using SQL for data extraction, transformation, and analysis.
- Experience with Tableau or similar data visualisation tools.
- Experience with Alteryx or similar data pipelining tools.
- Understanding of data visualisation best practices and presenting insights effectively.
- Ability to gather requirements and work closely with stakeholders at all levels.
- Strong communication and presentation skills.
- Strong organisational skills with the ability to manage multiple projects and meet deadlines.
Desirable Knowledge, Skills & Experience:
- Knowledge of foreign exchange, payments, fintech, or financial services industries.
- Experience using Python for data analysis and problem-solving.
Education / Qualifications:
- Bachelor’s degree in finance, Economics, Data or a related discipline.
Languages: Fluent English (written and spoken).
What We Can Offer You: This role offers a competitive salary, plus a benefits package including private medical health insurance.
Location and Contract Type:
- Location: The role is expected to be office-based in London; however, we have a flexible working policy which enables you to work up to 2 days from home.
- Contract: Permanent, full-time.
Fostering a culture of belonging and inclusivity: We're committed to creating a workplace where every individual feels valued, respected, and included. As an Equal Opportunity Employer, we actively cultivate an inclusive culture where diversity thrives, and we empower our colleagues to drive meaningful change within our organization through Employee Engagement initiatives and value champion networks.
Like many of our peers, we recognize that fostering inclusivity is an ongoing journey, and we remain steadfast in our commitment to progress. By measuring our efforts through regular assessments and listening to the feedback of our employees, we strive to ensure that our initiatives are impactful and responsive to the evolving needs of our workforce.
Together, we want to build a workplace where everyone can bring their authentic selves to work, as we believe this is the foundation of innovation, creativity, and collective success.
Interested? If this role sounds like a good fit for you, please click on the “Apply Now” button to submit your application. For discover more about Moneycorp and how we’re leading the way in global payments and currency risk management, please visit our News Hub and various social media platforms.
Data Analyst employer: Moneycorp
At Moneycorp, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our remote Finance Data Engineer role provides the flexibility to work from anywhere while being part of a global team dedicated to delivering exceptional service in the financial sector. With ample opportunities for professional growth and development, along with a commitment to employee well-being, Moneycorp is the ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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We think you need these skills to ace Data 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 Moneycorp, 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 Moneycorp. 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 Moneycorp
✨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 Moneycorp!
✨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.
