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- Tasks: Lead a team of data analysts to drive data-led decisions and enhance business efficiency.
- Company: Join Modulr, a fast-growing FinTech scaleup revolutionising embedded payments across Europe.
- Benefits: Enjoy 33 days holiday, a £1000 benefits pot, and share options for your future.
- Why this job: Be part of a collaborative culture that values innovation and personal growth in a dynamic environment.
- Qualifications: Experience with large datasets, SQL, and team leadership; familiarity with data visualisation tools is a plus.
- Other info: Work in state-of-the-art offices and engage in continuous learning opportunities.
The predicted salary is between 43200 - 72000 £ 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 how we approach and use data to make data-led decisions?
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.
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. We are connected to an expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS. Our payments expertise and extensive product capability also enables us to build tailored solutions to solve complex payment problems forhundreds of clients in a range of industries, including Travel, Merchant Payments, Lending, Wage Advance and Investment & Wealth.
We are deeply integrated into the payments ecosystem. In the UK, we are direct participants of Faster Payments and Bacs, and hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA and SWIFT. We are principal issuing members of Visa and Mastercard across the UK and Europe.
Our regulatory permissions and governance structure underpin our business. We are regulated as an Electronic Money Institution (EMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Modulr now has over 400 employees globally across offices in London, Edinburgh, Amsterdam and Mumbai.
Modulr values
- Build the extraordinary and go that extra mile.
- Own the opportunity: be passionate and proud of the time you invest.
- Move at pace: reach your goals faster with us supporting you each step of the way.
- Achieve it together: work as a team, collaborating with other Modulites.
The Role
The Analytics Lead will play a pivotal role in leading a team of data analysts, educating business functions on data literacy, and enabling teams to leverage data effectively to inform business decisions, enhance efficiency, and drive success. This role includes line management responsibilities, mentoring team members, and fostering a collaborative and high-performance analytics culture. The Analytics Lead will also contribute to the company\’s strategic goals by engaging with stakeholders on how data can best represent insights clearly and accurately.
Key responsibilities
- Establish team goals, monitor performance, and provide regular feedback and development opportunities.
- Lead, mentor, and manage a team of data analysts, fostering their professional growth and ensuring high-quality output.
- 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.
- Previous experience leading a team and supporting team members development.
- Strong SQL experience
- 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.
- Previous experience working in an agile environment is preferred.
- 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. We want you to push yourself and for us to support you in your future as we scale. Our culture and values put you first and are about investing in your future.
- Share Options Incentive Scheme
- Company Bonus – the more successful we are together, the more company bonus we offer.
- Benefits pot – £1000 towards a variety of benefits for you to choose (including healthcare, dental etc), Perkbox (freebies and discounts!), plus access to season ticket loans.
- 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! But, we don’t want your learning to stop there so we will continue to provide you with the tools and capabilities through our learning channels, platforms and buddy allocation to allow you to grow and develop in Modulr.
- Modulr All hands – join your colleaguesfor our company-wide events throughout the year.
- Great workspace – Modulr thrives on innovation which is best done through in-person collaboration. This approach enables us to work together closely, exchange ideas, and create innovative solutions that drive our success. We ask our team members to be based in the office 4 or more days a week. We have state-of-the-art offices located in all four locations – London, Edinburgh, Amsterdam and Mumbai.
- Bike to work scheme
ModInclusion
We believe that by seeing Modulr, and the world, from all sorts of angles, we can make life better for all. 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. As such, we are keen to maximise the diversity of our workforce and actively encourage applications from anyone and everyone.
By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing – but please note that this means we will no longer consider you for the role you have applied for.
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Analytics Lead employer: Modulr Finance Limited
Contact Detail:
Modulr Finance Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Lead
✨Tip Number 1
Familiarise yourself with the embedded payments landscape. Understanding how companies like Modulr operate within this space will give you an edge in interviews, as you'll be able to discuss relevant trends and challenges.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed teams or projects in the past. Highlighting your ability to mentor and develop others will resonate well with our focus on fostering a high-performance analytics culture.
✨Tip Number 3
Brush up on your SQL and data visualisation skills, particularly with tools like Power BI. Being able to demonstrate your technical expertise during discussions will help you stand out as a strong candidate for the Analytics Lead role.
✨Tip Number 4
Prepare to discuss how you've used data to drive business decisions in previous roles. Being able to articulate specific examples of how your insights led to measurable outcomes will show us that you're capable of making a significant impact at Modulr.
We think you need these skills to ace Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Analytics Lead role. Focus on your experience with data analysis, team leadership, and any specific tools mentioned in the job description, such as SQL and data visualisation tools.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in analytics and your leadership experience can contribute to Modulr's goals. Be sure to mention your passion for data-driven decision-making and how you can help foster a high-performance analytics culture.
Showcase Relevant Projects: If you have worked on projects that involved complex datasets or led teams in an analytics capacity, include these examples in your application. Highlight specific outcomes and how your contributions made a difference, especially in fast-paced environments or financial services.
Highlight Continuous Learning: Mention any ongoing education or certifications related to data analytics, visualisation, or leadership. This shows your commitment to personal and professional growth, which aligns with Modulr's values of investing in the future and pushing boundaries.
How to prepare for a job interview at Modulr Finance Limited
✨Show Your Curiosity
As an Analytics Lead, curiosity is key. Be prepared to discuss how you've approached complex datasets in the past and share examples of how your curiosity led to innovative solutions or insights.
✨Demonstrate Leadership Skills
Since this role involves leading a team, highlight your previous experience in mentoring and developing team members. Share specific instances where you successfully guided your team to achieve their goals.
✨Communicate Clearly
The ability to simplify complex data is crucial. Practice explaining your analytical processes and findings in a straightforward manner, as if you were presenting to stakeholders who may not have a technical background.
✨Engage with Stakeholders
Prepare to discuss how you've collaborated with various stakeholders in the past. Think about how you can effectively communicate data requirements and negotiate practical solutions that align with business objectives.
