Senior Data Analyst, Applied Marketing Measurements
At Bolt, advertising is a key tool of the marketing team. And by “key” we mean tens of millions of euros of annual investment across digital & non-digital channels for a wide range of our products operating in 30+ countries.
We know that our advertising works - Bolt’s successful global presence is a testament to that, but the real question is: how do we maximize this impact?
In the role of Senior Data Analyst for Applied Marketing Measurements, you become Bolt's navigator in the complex realm of digital & non-digital advertising. Your goal won’t be just analyzing the data but coming up with the exact methods that other data analysts and marketing specialists use to make investment decisions.
About us
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About the role
Your daily adventures will include:
- Developing, refining, and adopting approaches and tooling to measure the incremental impact of marketing.
- Conducting Quasi-experimentations (geo-experiments, synthetic control, interrupted time series, Conversion Lift experiments) and usage of Marketing Mix modeling, counterfactuals, and synthetic control daily.
- Integrating your findings into company-level strategy and ensuring they are transparent for key stakeholders across the company.
- Supporting data analysts from multiple business teams in organizing measurable marketing campaigns.
- Collaborating closely with advertising platforms (like Google, Meta, TikTok), keeping up to industry trends, and exploring innovative measurement ideas.
- You can also expect to utilize knowledge of statistics and hypothesis testing, PyMC or Causal Inference if you possess this knowledge.
About you:
- You hold a BS in a quantitative field, such as Mathematics, Economics, Computer Science, Information Management, or Statistics.
- You have at least 2-4 years of experience in the practical application of statistics and/or econometrics (advanced regression, bayesian statistics, time series analysis).
- You have strong knowledge of SQL for data analysis, and Python or R for statistical modeling.
- You know statistics and hypothesis testing + Statistical tooling in Python - PyMC, Causal Inference.
- You have at least 2 years of experience in designing and analyzing experiments (geo-experiments, synthetic control, interrupted time series) and providing business recommendations.
- You are familiar with ads-related tooling (Google Ads, Facebook ads, AppsFlyer, etc).
- You are fluent in English.
- Your verbal and written communication skills are outstanding. You’ll be able to explain your ideas to a range of audiences - from marketing specialists to a C-level executive.
- Experience with quasi-experimentation is preferred.
- Marketing Mix Modeling or other marketing measurement techniques will be a bonus.
Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!
Become part of our Data Analytics team
The Data Analytics team ensures the sustainable growth of our business lines. The team’s distributed across the organisation, standing between executive management and local operations, and acts as an internal consultant for growth-related topics.
Why you’ll love it here:
- Play a direct role in shaping the future of mobility.
- Impact millions of customers and partners in 500+ cities across 45 countries.
- Work in fast-moving autonomous teams with some of the smartest people in the world.
- Accelerate your professional growth with unique career opportunities.
- Get a rewarding salary and stock option package that lets you focus on doing your best work.
- Enjoy the flexibility of working in a hybrid mode.
- Take care of your physical and mental health with our wellness perks.
*Some perks may differ depending on your location.