Marketing Data Scientist/Analyst (full remote working)

Company Description

Launched in 1998, this pioneering British-born brand has specialised in creating amazing experiences and unforgettable memories - from hotels, city breaks and holidays to theatre, entertainment and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, "whatever makes them pink".

lastminute.com is the European Travel-Tech leader in the dynamic holiday packages business, uniquely positioned to drive innovation-led growth.

Every month, lastminute.com reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

At the heart of our culture is a commitment of inclusion across race, gender, age sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Job Description

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*Please note that this is a full remote working position.

lastminute.com group is looking for an ambitious and highly motivated Marketing Data Scientist/Analyst to join the team.

Key Responsibilities

  • Help the Marketing Acquisition team analyzing data to understand the effect of past marketing, and to find opportunities for traffic growth
  • Improve the Marketing Acquisition team's workflow by building scalable custom solutions to automate processes and measurements
  • Model customer behavior and usage so we understand which audiences to target and how  
  • Improve our analytics capability for predicting customer value, product life cycle, marketing spend vs revenue forecasting, churn reduction
  • Drive budget efficiency through a proper understanding of models for marketing mix, multi-touch attribution, and incrementality
  • Collaborate with marketers, product leads, data engineers, software engineers, growth analysts, pricing analysts
  • Leverage data from Google Analytics, Google Ads, and first-party sources to collect, report and analyze customer journeys, interactions, touchpoints, conversion funnel performance
  • Areas of focus could include bidding, budgeting, audiences & segmentation, ads optimization, user journey optimization and personalization, attribution models optimization, new pricing strategies.

Qualifications

Essential

  • Solid knowledge of most of the following concepts: media mix modeling, multi-touch attribution, Markov chains, Bayesian statistics, regression modeling, matched market testing, brand equity modeling, brand lift studies, volumetric studies, conjoint analysis, LTV modeling, user & conversion tracking, CDPs, incrementality, lift testing
  • Working Knowledge of the Google Ads API. Additional working knowledge of Facebook Ads API and programmatic display networks APIs is a strong plus
  • Knowledge of Git and Google Cloud Platforms
  • Experience using SQL or similar language to extract and manipulate data on e.g. BigQuery
  • Experience using Python (preferred) and/or R; ability to throw together a REST service or a UI if needed
  • Experience developing and debugging data pipelines for marketing attribution and/or performance measurement
  • Data-driven and structured approach, ability to prioritize the value you can add, and to manage your time effectively
  • A degree in Statistics, Business Analytics, Data Science, Econometrics, or similar is strongly preferred; if missing, at least some highly relevant certifications and an online portfolio we can take a look at. The ideal candidate will have both.

Additional

  • Experience of working in a high-growth marketplace or tech startup (ideally SaaS PLG) 
  • Understanding of digital marketing, social, and advertising technologies, such as Google Marketing Platform, Google Ad Manager, Social Ad Managers, AppsFlyer, and/or CRM platforms 
  • Experience with machine learning (predictive modeling, decision trees, classification models, clustering techniques) and time-series analysis
  • Familiarity with data transformation tools (e.g. DBT).

Additional Information

What we offer

By joining our company, you will have the chance to:

  • Join a dynamic team in an inclusive-international environment
  • Grow thanks to the career journey and our internal mobility perspective
  • Manage your own schedule thanks to the flexible start and end of the working day
  • Work a shorter working week (36h), of which 4 hours on Friday morning
  • Get focus time for learning, development and deep work on Friday mornings
  • Work partially or fully remote according to local laws
  • Enjoy continuous training thanks to our company platform
  • Benefit from employee discounts on travel
  • Receive 2 days off per year for the purpose of volunteering
  • Receive a bonus after 5 and one after 10 years in the company
  • Get free snacks / fruit / hot drinks / water / beverages at our offices
  • Participate in amazing winter and summer corporate events
  • Benefit from extended parental or marriage leave.