Marketing Data Analyst

London, England, United Kingdom

GoHenry

GoHenry's debit card and app lets kids ages 6-18 learn practical money management skills that they can go out and apply in the real world.

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GoHenry is a London and New York-based fintech company that pioneered the youth fintech and financial education category. We are on a mission to make every kid smart with money and to delight our community of 2 million parents, kids, and teens with innovative, market-leading tools to help parents raise financially healthy kids. 

GoHenry offers a debit card and app for kids and teens and companion apps for the family, with in-app tools for sending money, automating allowance, managing chores, setting savings goals, giving to charity, and in-app financial education lessons where kids can watch videos, take quizzes and earn points & badges. This is all designed to help kids and teens build good money habits that will last a lifetime. 

Where this role fits in 

We are looking for an experienced and self-driven Marketing Data Analyst to work in our Data team, a group of ~12 data analysts, data engineers and analytics engineers. The role will report into the Growth Analytics & Strategy Lead, with a dotted line into the Head of Growth to ensure close alignment with the Marketing team.

The Data team has recently deployed a new data platform built on Google Cloud and Tableau Cloud, where the bulk of analysis will be conducted using tools such as BigQuery, Tableau and Dataform. There will also be a need to use other tools such as Mixpanel, Google Analytics and Adjust. The successful candidate will develop analysis and reporting capabilities to deliver data insights required to measure, track and monitor new initiatives, marketing campaign improvements, and overall company OKRs. You will be working with a wide variety of data, predominantly focussed in the Growth domain.

What you'll do 

  • Provide insights and recommendations to the Marketing team, backed by analysis.
  • Assist in the design, implementation and reporting on analysis, related to enabling Marketing initiatives, experiments and strategy.
  • Own measurement in Marketing. Collaborate with your team on how to measure the performance of business marketing activities and find growth opportunities to scale marketing initiatives.
  • Help develop data-driven customer targeting and segmentation approaches.
  • Build a robust measurement framework to validate the effectiveness of optimisations and experiments, and help to design and conduct experiments.
  • Enhance accuracy in channel performance analysis, focusing on mobile attribution and StoreKit Ad Network.
  • Create forecasting and measure campaign performance across Marketing channels. Provide recommendations to the investment framework.
  • Investigate performance in marketing channels / platforms, finding the root cause of performance issues and providing recommendations on how to resolve and drive sales effectiveness.
  • Build and maintain dashboards to help the business with efficient decision-making. 
  • Present results and insights to stakeholders. 
  • Support the wider Data team with analysis, insights and implementation of data models.
  • Promote a strong data culture throughout the organisation, providing users with self-service tools, training and support.
  • Create and maintain documentation to help the business build a repository of learnings and contribute to the sharing of knowledge across the organisation.

What we are looking for 

Essential 

  • Hands-on technical experience in marketing analytics or similar roles.
  • Good knowledge of writing SQL in a data warehouse environment.
  • Experience with Google Analytics.
  • Familiarity working with data from common ad platforms such as Google Ads, Facebook Ads etc.
  • Proficient in building dashboards using a BI tool such as Tableau.
  • Proficient in Excel or Google Sheets.

Nice to have 

  • Experience building models using dbt or Dataform.
  • Proficient in using Python for exploratory data analysis and machine learning.
  • Experience using AutoML tools such as BigQuery ML. 
  • Experience supporting and analysing large-scale A/B tests.

Benefits

  • Flexible working
  • BUPA Private Medical
  • 25 days annual leave, plus public holidays
  • An additional day off on the week of your birthday
  • Flexible public holidays
  • Family friendly leave polices
  • Death In Service Benefit - X4 your annual salary
  • Mental Health Platform - OpenUp
  • Nursery/ Childcare Benefits
  • Cycle to work scheme
  • Gym Discounts
  • Training budget.

We're proud to say...

  • We ranked #38 in Newsweek's Top 100 Most Loved Workplaces in the UK in 2023 
  • We’re one of Tech Track’s top 50 fastest-growing UK companies. 
  • We won Finders Kid’s Cards Customer Satisfaction Awards in 2022 and 2023. 
  • We won the Tech for Good award at the Better Society Awards 2023 
  • Our kids and parents have donated over £500,000 of their own money to NSPCC via their GoHenry accounts

GoHenry is an equal-opportunity employer, and we’re on a mission to foster a diverse & inclusive workplace. Individuals seeking employment at GoHenry are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. 

Research suggests that men will often apply to jobs when they meet 60% of criteria, while women and underrepresented groups, often wait until they meet all the listed criteria. If you're close but don't tick every box, we'd still be open to your application!

Want to join our mission? 

If GoHenry sounds like a place you’d like to be, please apply using the link below.

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Tags: A/B testing BigQuery Data analysis Data warehouse dbt EDA Excel FinTech GCP Google Cloud Machine Learning OKR Python Research SQL Tableau

Perks/benefits: Career development Flex hours Health care Medical leave Team events

Region: Europe
Country: United Kingdom
Job stats:  4  1  0
Category: Analyst Jobs

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