Data Analyst
Role summary
We are seeking a Data Analyst to join a team developing cutting-edge proxy and web data scraping solutions. The role involves identifying key metrics, creating reports and dashboards, monitoring user behavior to detect fraud, analyzing marketing funnels, and automating processes. You will also perform ad-hoc analyses and formulate hypotheses to understand user tendencies and identify improvement opportunities. The ideal candidate has 2-4 years of experience in an analytical role with good knowledge of SQL, data modeling (ideally with dbt), and data analysis/visualization tools. Experience with process automation and fraud detection is a plus.
In this role, you’ll:
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 requirements:
Experience with automating processes
Experience with identifying and combating fraud
Salary & Benefits:
