Important note: The role is available remotely from France, Spain, or Portugal.
About the company
PhantomBuster is a cloud-based automation and data extraction software that allows businesses to grow faster. Our core mission is enabling thousands of companies to boost their growth by finding and connecting with their ideal customers.
Founded in 2016, PhantomBuster provides a toolbox of over 130 flows (we call them "Phantoms") to help businesses automate their sales and marketing processes or scrape valuable data readily available on X (Twitter), Facebook, LinkedIn, Instagram, and other online platforms. It's never been easier for non-technical people to extract the data they need, automate actions, and get their work done better and faster - every day, people save tens of thousands of hours of work thanks to our Phantoms!
We are a team of 65 passionate people looking to help more businesses save time on repetitive tasks and focus on what matters. Join us so you can enjoy working at a self-funded, profitable, remote, 4-day workweek company!
About the Data Team
To sustain the company's growth, we seek a new Data Analyst to make PhantomBuster more data-driven. This means that as much as possible, each important decision must be supported by data (strategy, product development, marketing initiatives, etc.). Today, we are doing everything possible to develop our data tools and techniques to conduct more in-depth analyses and leverage these insights to grow.
You will join the Data Team, currently composed of three Analytics Engineers and a Head of Data. We are independent and cooperate and support every team at PhantomBuster.
Our stack relies on AWS for the data lake, Snowflake for the data warehouse, and we also have transformation tools like DBT or visualization tools like Metabase. Alongside these, data is also available in self-service tools like Amplitude, Google Analytics, or ChartMogul.
Your missions
- Conduct descriptive and exploratory analyses to identify valuable insights.
- Build dashboards and reports to monitor our performance, i.e., experiments, new features, and customer support.
- Work on studies to develop our customer knowledge, i.e., segmentation and personas.
- Cooperate with internal teams and support them with data insights to make better decisions.
- Feedback on the implementation of our data infrastructure and tools.
- Contribute to developing a data-driven culture within PhantomBuster through meetings, presentations, training, and documentation.
You might be a fit if:
- You have an analytical mindset.
- You strive to understand business challenges and how to solve them.
- You have an aptitude for digesting and effectively communicating technical concepts across audiences of varying technical abilities.
- You stay calm in the face of challenges and have an infectious can-do attitude to solving problems.
- You are a team player with high integrity - you can remain flexible as we grow.
- You are autonomous and rigorous.
- You’re resourceful - you might not have all the answers, but you are ready to find them.
Requirements
- 3 years of work experience in a data position.
- BSc +4 or 5 years of experience in one of the following domains: IT, statistics, data, or engineering.
- Fluent in English.
- You fluently speak SQL and Python (or any other data languages: R, Scala...).
- You have already used at least one data management tool (Snowflake, DBT, Dataiku, Talend, etc.) and one data visualization tool (Tableau, Amplitude, Power BI, QlikView, etc.).
Bonus points
- Experienced in a SaaS B2B business.
- Experienced within a product-led growth company.
- Experienced with Web analytics tools (Amplitude, Google Analytics, etc.).
- Experienced with cloud computing environments (AWS, Azure, Google Cloud).
What’s in it for you?
- Fully remote working environment.
- Possibility to work 4 days a week after your probation period.
- Freedom to make an impact at a small, self-funded, and profitable tech startup.
- Benefits and perks are described below.
Hiring Process
- Screening with our Talent Partner, Lukas (45min).
- Job Fit interview with our head of Data, Nicolas (1hr) + a Team Member.
- Remote exercise (one week to do it).
- Exercise debriefing with a Team Member, and Nicolas (1hr).
- Cultural fit interview with two colleagues from another department (1h).
