Position: Senior Data Analyst
Company: OpenVPN
Experience required: 3y
Category: Business Analyst
English level: upper
Published: 2020-02-01T00:00:00+02:00

Required skills:
• Proven track record of doing quantitative data analysis to drive decision-making;
• Excellent working knowledge of Python (or R) and SQL;
• Extensive experience with Google Analytics and Google Tag Manager;
• Practical experience with A/B testing and conversion optimization;
• Experience setting up BI architecture (data pipelines, DWH, dashboards etc.);
• Solid theoretical background in mathematics and statistics;
• Ability to see the big picture and coordinate with stakeholders across the whole company;
• Hands-on attitude: this is not a position to delegate and you are expected to get your hands dirty with the data.

As a plus:
• Background in data science and machine learning;
• Knowledge of networking and cybersecurity.

We offer

Our philosophy is that we are a small, closely-knit team and we care deeply about you:
• Competitive salary;
• Great new office space;
• Flexible working schedule, partially remote work possible;
• Working directly with colleagues from Silicon Valley and around the world;
• Team trips, certification and events compensation, medical insurance, sports etc.;
• Last but not least, we are really fun to work with!

You will have a lot of freedom to select and use various technologies, tools, methodologies, and analytic practices to address business challenges and deliver tangible results. You will combine strategic thinking and having a clear vision of the business objectives with hands-on work to execute this vision.

You will have two main areas of responsibility as part of your overall mission to institute data-driven decision making in the company as a whole:
• Connect multiple data sources across the company to our data warehouse and create custom dashboards, reports to visualize the KPIs, and set up automated alerts;
• Prepare and run split tests across our product portfolio as well as use other quantitative analysis methods to drive product and marketing decisions.