Data Analyst

Data Analyst

London Full-Time 30000 - 42000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse marketing data to drive insights and support decision-making.
  • Company: Join Funding Circle, a leader in SME lending with a mission to empower small businesses.
  • Benefits: Flexible working, health perks, career development, and a vibrant office environment.
  • Why this job: Make a real impact on small businesses while developing your analytical skills.
  • Qualifications: Experience in marketing data analysis and proficiency in statistical modelling.
  • Other info: Diverse and inclusive workplace with excellent growth opportunities.

The predicted salary is between 30000 - 42000 £ per year.

Overview

Marketing Data Analyst. We are looking for a Marketing Data Analyst in our Data team. We are looking for someone with a passion for driving data maturity through marketing analytics. You will be joining our Analytics Excellence team, within Data, and supporting Marketing as a key stakeholder. In this role, you will hold a range of responsibilities critical to the successful use of Marketing analytics at Funding Circle.

We are Funding Circle. We back small businesses to succeed.

At Funding Circle, we believe the world needs small businesses. That is why we have made it our mission to help them get the finance they need to grow.

With more than a decade of expertise under our belt, we have built a game-changer of a platform with cutting-edge data and technology that is reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash.

We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience.

Responsibilities

  • Design and execute experiments to test marketing hypotheses across channels, segments and audiences to derive actionable insights for decision making.
  • Develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value.
  • Communicate results and engage with stakeholders: effectively communicate technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making.
  • Analyse datasets: utilise analytical techniques to identify trends and patterns in our data to unlock opportunities and meaningful insight.
  • Marketing automation: work with Marketing team to automate campaign selections within the marketing tool to enable self-serve selections. This will include automation of existing campaign activity as well as additional opportunities to drive further self-serve for campaigns.
  • Proactively problem solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day.

What we’re looking for

  • Marketing background: experience in working with marketing data. An understanding of marketing channels and what makes a successful campaign. The ability to identify trends in marketing activity, channels and audiences. Be familiar with marketing metrics and understand measures of performance. Experience of using marketing tools such as Marketo, Eloqua, ideally Segment.
  • Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Good analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset.
  • Proficiency in statistical modelling: Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods.
  • Software development skills: Good programming experience, ideally in Python. Ability and willingness to work alongside analytics engineers, data analytics/scientists on the development of analytics, insight and marketing model development.
  • Data manipulation, cleaning and analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling.
  • Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes as well as being a self starter able to proactively drive forward initiatives.

At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements.

Want to learn more?

We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £7.2bn of GDP generated). You can read our full Impact Report here: https://www.fundingcircle.com/uk/impact

To see what our customers think, visit our Trustpilot page: https://uk.trustpilot.com/review/fundingcircle.com

And we’re still evolving! Our award-winning multi-product platform is solving more SME finance challenges than ever before. We think big, rally together and meet the needs of SME customers like no other.

Why join us?

At Funding Circle we celebrate and support the differences that make you, you. We are proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better.

As a flexible-first employer we offer hybrid working at Funding Circle, and we have long believed in a \’best of both\’ approach to in-office collaboration and non-office days. We expect our tech teams to be in our London office two times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day!

We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle.

A few highlights:

  • Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to you and your family’s needs.
  • Health: Private Medical Insurance, Dental Insurance, Health Cash Plan, Health Assessments (including female fertility health assessments), eyecare vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps) access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16.
  • Wealth: Life Assurance, Income Protection, Critical Illness Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work.
  • Development: Dedicated annual Learning & Development allowance and full access to internal learning platform.
  • Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more!

And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments.

Ready to make a difference? We would love to hear from you.

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Data Analyst employer: Funding Circle Ltd.

At Funding Circle, we pride ourselves on being an exceptional employer that champions diversity and flexibility, offering a hybrid working model that allows our employees to thrive both in and out of the office. With a strong focus on employee growth, we provide tailored benefits, comprehensive health plans, and dedicated learning opportunities, all within a collaborative and innovative environment in London. Join us to make a meaningful impact on small businesses while enjoying a supportive workplace culture that values your unique contributions.
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Contact Detail:

Funding Circle Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've tackled data challenges and driven marketing success.

✨Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values and interests. At StudySmarter, we encourage you to check out our website for roles that excite you and fit your skill set!

✨Tip Number 4

Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds.

We think you need these skills to ace Data Analyst

Marketing Analytics
Data Analysis
Predictive Modelling
Statistical Modelling
Python Programming
SQL
Data Manipulation
Data Cleaning
Communication Skills
Problem-Solving Skills
Collaboration
Marketing Tools (e.g., Marketo, Eloqua)
Trend Identification
Automation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with marketing data and any relevant tools you've used, like Python or SQL. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for marketing analytics and how you can contribute to our mission at Funding Circle. Be sure to mention specific projects or experiences that showcase your analytical skills.

Showcase Your Problem-Solving Skills: In your application, don’t forget to highlight your problem-solving abilities. We love candidates who can tackle real-world business challenges, so share examples of how you've used data to drive decisions or improve processes.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Funding Circle Ltd.

✨Know Your Marketing Metrics

Before the interview, brush up on key marketing metrics and how they relate to data analysis. Be ready to discuss how you've used these metrics in past roles to drive decision-making and improve campaign performance.

✨Showcase Your Data Skills

Prepare to demonstrate your proficiency in data manipulation and analysis tools like Python, Pandas, and SQL. Bring examples of projects where you’ve cleaned and analysed large datasets, highlighting any predictive models you've developed.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. You’ll need to engage with both technical and non-technical stakeholders, so being able to present your findings clearly is crucial. Consider using a recent project as a case study.

✨Be a Problem Solver

Think of specific challenges you've faced in previous roles and how you overcame them using data-driven insights. This will show your proactive mindset and ability to tackle real-world business problems, which is exactly what they’re looking for.

Data Analyst
Funding Circle Ltd.
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