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- Tasks: Join us as a Data Analyst to drive insights and support strategic decisions.
- Company: Modulr is a fast-growing FinTech scaleup revolutionising embedded payments across Europe.
- Benefits: Enjoy flexible benefits, generous holiday, and a supportive learning environment.
- Why this job: Be part of a dynamic team, making impactful decisions in a thriving industry.
- Qualifications: Experience with large datasets, SQL, and data visualisation tools required.
- Other info: Work in state-of-the-art offices and collaborate with diverse teams globally.
The predicted salary is between 28800 - 48000 £ per year.
Are you curious, excited by experimentation and always looking for a better way of doing things? Do you want to keep learning and developing whilst getting hands-on experience delivering for a FinTech scaleup in the embedded payments space? Do you want to have the opportunity to define and execute exciting and eye-catching product and customer-led demand and lead generation campaigns in a rapidly growing business? If so, we would love to hear from you!
We are one of the fastest-growing payments businesses in the UK and Europe and are looking to hire ambitious, and value-adding talent. The Marketing Campaign Manager will play a critical role in driving and executing our growth campaigns across a mix of channels for our target markets in Business Payments, Travel, Merchant Payments, Lending and Wage Advance.
About Us
At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables thousands of businesses, from SMEs to Enterprises, across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment methods, accounts, and card products. We’ve created an industry-leading platform with comprehensive online tools and API access, to meet the demands of daily business payments.
The Role
The Senior Data Analyst will play a pivotal role in educating business functions on data literacy, enabling teams to leverage data effectively to inform business decisions, enhance efficiency, and drive success, ultimately contributing to the company's strategic goals. This involves actively engaging with stakeholders on how data can best represent insights clearly and accurately.
Key responsibilities
- Actively engage with key stakeholders and subject matter experts (SMEs) to define clear data requirements, using your expertise to negotiate and agree upon practical solutions.
- Act as a critical liaison between stakeholders and the Data Engineering team to communicate requirements, especially when new data sources or adjustments to existing ones are necessary.
- Create and maintain engaging, interactive visualisations that clearly communicate complex data, empowering stakeholders to make informed decisions.
- Identify and highlight trends and growth opportunities through detailed analysis of diverse datasets, providing actionable insights that drive strategic decision-making and business growth.
- Develop best-practice reporting standards through advanced data mining, analysis, and visualisation techniques.
- Work closely with functional subject matter experts (SMEs) to develop and standardise clear data definitions relevant to their business areas.
- Support digital transformation initiatives by driving adoption and utilisation of our data platforms across the organisation and implementing process automation.
- Ensure governance, performance optimisation, and efficient management of data flows and models.
- Conduct ad hoc analysis to support specific business projects and initiatives.
About you
- Extensive experience analysing large, complex datasets.
- Exceptional skills in simplifying complex processes and communicating insights clearly.
- Strong SQL experience.
- Experience in dimensional data modelling, including capturing and reviewing business requirements, developing and reviewing conceptual and logical data models, troubleshooting and resolving model-related issues.
- Demonstrable expertise in analytics modelling: Predictive analytics, trend and correlation analysis, forecasting, outlier detection and exception reporting.
- Proven experience partnering effectively with senior business leaders.
- Proficient in data visualisation tools such as Power BI but experience of other tools welcome.
- Prior experience in a fast-paced environment, with exposure to financial services or technology industries being desirable.
- It’s a bonus if you also have experience in Python, DAX, Snowflake, Streamlit and GIT.
What can Modulr offer you
- You’ll be part of a cross disciplinary team(s), with co-workers located in London, Edinburgh, Amsterdam and/or Mumbai.
- We are friendly and sociable, challenging but rewarding.
- Our culture and values put you first and are about investing in your future.
- 33 days holiday (including bank holidays) + your birthday off - choose which days you take off to relax and/or spend time with loved ones.
- Learning Opportunities – on joining Modulr you will embark on our onboarding programme, called ModStart, to be equipped with the Modulr know-how and arm you with the tools you need to be successful from day 1!
- Great workspace - Modulr thrives on innovation which is best done through in-person collaboration.
- Bike to work scheme.
- We want you to know that the things that make you, you — like your identity, age, ability, and background — are things that we will always celebrate and support with open arms.
Data Analyst employer: Modulr Finance Limited
Contact Detail:
Modulr Finance Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics, especially within the FinTech sector. Understanding how embedded payments work and the specific challenges faced by businesses in this space will give you an edge during discussions with potential employers.
✨Tip Number 2
Network with professionals in the data analytics and FinTech fields. Attend industry events, webinars, or local meetups to connect with others who can provide insights or even refer you to opportunities at companies like Modulr.
✨Tip Number 3
Showcase your analytical skills through personal projects or contributions to open-source initiatives. This not only demonstrates your expertise but also your passion for data analysis, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with SQL and data visualisation tools in detail. Be ready to explain how you've used these skills to solve real-world problems, as this will resonate well with the hiring team at Modulr.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Focus on your analytical skills, SQL experience, and any familiarity with data visualisation tools like Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to analyse complex datasets and communicate insights effectively.
Showcase Your Technical Skills: Clearly outline your technical skills in your application. Include your experience with SQL, data modelling, and any additional tools like Python or DAX that are relevant to the position.
Highlight Collaborative Experience: Since the role involves working closely with stakeholders, emphasise any past experiences where you successfully collaborated with teams or senior business leaders to drive data-driven decisions.
How to prepare for a job interview at Modulr Finance Limited
✨Show Your Curiosity
As a Data Analyst, curiosity is key. Be prepared to discuss how you've approached complex datasets in the past and what questions you asked to uncover insights. This will demonstrate your eagerness to learn and experiment.
✨Highlight Your Technical Skills
Make sure to showcase your SQL expertise and any experience with data visualisation tools like Power BI. Be ready to provide examples of how you've used these skills to solve real business problems or improve processes.
✨Communicate Clearly
Since the role involves liaising with stakeholders, practice explaining complex data concepts in simple terms. Use examples from your previous work to illustrate how you’ve effectively communicated insights to non-technical audiences.
✨Demonstrate Team Collaboration
Modulr values teamwork, so be prepared to discuss how you've worked with cross-functional teams in the past. Share specific instances where your collaboration led to successful outcomes, especially in fast-paced environments.
