Data Analyst
About the role
Inside, that same directness shows up as a culture of speed and real ownership, where small teams take ideas from concept to launch themselves.
As a Data Analyst, you will translate complex user behaviors into actionable strategies by building automated flows and comprehensive reporting dashboards. As our interconnected ecosystem scales its responsible access to web data, we need proactive minds to analyze data pipelines and drive operational efficiency. The underlying challenge is maintaining the high quality of our network by combating fraud while optimizing our marketing funnels to fuel continuous growth.
In this role, you will:
Identify key metrics and create reports and dashboards to track them.
Monitor and analyze our metrics and user behaviour to identify cases of fraud or suspicious behaviour and create automated flows to flag and ban such users.
Analyze marketing funnels and create the data pipelines to ingest and enrich marketing data.
Automate processes and flows to reduce manual work and improve efficiency.
Create well-defined hypotheses and analyze users’ tendencies to better understand our users and find improvement opportunities.
Perform ad-hoc analyses.
Your skills & experience:
2-4 years of experience in an analytical role.
Good knowledge of SQL.
Experience working with data modelling (ideally with dbt, but using SQL works as well).
Experience working with some of the various data analysis and visualization tools (we use Power BI, but Looker, Tableau, Qlik, Grafana or any other tool works as well).
Ability to raise and evaluate hypotheses about business performance.
Nice to have:
Experience with automating processes.
Experience with identifying and combating fraud.