Marketing Data Analyst

Plum Fintech; City of Westminster; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading fintech company in the United Kingdom is searching for a Marketing Data Analyst to support the Marketing team in driving data-driven decisions. The ideal candidate will have over 2 years of analytical experience, strong SQL skills, and familiarity with marketing analytics. This role includes responsibilities such as providing data support, leading insights projects, and maintaining data models. Competitive benefits include stock options, health insurance, and a hybrid working model.

Benefits

Stock options

Private health insurance

Annual training budget

Hybrid working

25 days holiday + bank holidays

Work-from-anywhere days

Sabbatical after 4 years

Enhanced parental leave

Paid volunteering day

Annual team trip

Qualifications

• 2+ years of experience in an analytical role, ideally within a marketing team.
• Ability to balance quality and speed in delivering insights.
• Familiarity with marketing analytics and causal inference.

Responsibilities

• Provide data support across the Marketing Team.
• Lead insights projects around return-on-investment and segmentation.
• Build and maintain data models using BigQuery and dbt.

Skills

Strong analytical skills

SQL

Python

R

Data visualization tools (Looker, Tableau)

Marketing analytics

Tools

BigQuery

dbt

Job description

We are looking for an exceptional Marketing Data Analyst, who is excited about Plum's mission, to join our Marketing team. You will help expand the value we deliver across Plum through data-driven decision making.

What you'll be doing

• Provide data support across the Marketing Team, with an increased focus on performance and lifecycle marketing
• Lead insights projects around return-on-investment, segmentation and produce actionable analyses
• Own measurement & attribution: you will collaborate with marketing team on how to track and quantify the growth different channels drive and how it is measured and controlled for incremental effects
• Build and maintain data models in your space using BigQuery and dbt

You are excited to work in a fast-paced environment and contribute to Plum's mission!

Qualifications

• You have a proven track-record of 2+ years, demonstrating strong analytical skills, ideally in a marketing team
• You are impact-driven and are able to balance quality and speed
• You have strong SQL skills and ideally Python / R. Bonus: dbt
• You are experienced with data visualisation tools, e.g. Looker, tableau
• Familiarity with marketing analytics and causal inference

Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI - that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more.

That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey!

What's in it for you

• Own part of the company you're helping grow through stock options
• Private health insurance
• Annual training budget
• Plum Premium for freeCompetitive referral scheme
• Hybrid working: 2 days a week connecting in our beautiful offices in London, Athens, or Cyprus.Team breakfasts and team lunches
• 25 days holiday + bank holidays
• 45 work-from-anywhere days to give you flexibility to work your way
• 2 weeks sabbatical after 4 years to take the break you deserve
• Enhanced parental leave
• 1 paid volunteering day annually
• Annual team trip to a surprise destination!
• A fun, inclusive company culture (think)

If you think this sounds like a bit of you then don't hesitate to get in touch! Thanks, Plum Team

Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.