Position: Data Analyst (Marketing)
Company: ZONE3000
Experience required: 2y
Category: Data Science
English level: upper
Published: 2021-02-01T00:00:00+02:00

Required skills
— Degree in Economics / Statistics / Mathematics
— Strong SQL knowledge
— Good theoretical background in math and statistic
— Understanding predictive analytics
— Experience building visualizations in Tableau or other similar tools
— Experience working with data received from Google Analytics, Adwords, Facebook, etc.
— Understanding of LTV / CAC, Conversion Rate, Cohort analysis, Retention Rate
— Understanding of digital marketing, especially PPC and SEO fields
— Analytical mindset
— Upper-intermediate English (written and oral)

We offer
— High & competitive salary
— Challenging work in an international professional environment
— Opportunity to influence software development process, to be the owner of the product in your field of expertise
— Opportunity to apply SAFe methodology
— Flexible management
— Flexible / Casual Leave
— Relocation Bonus when moving from a different city / country
— Full benefits package: paid vacation and sick leave
— Continuous professional development (free internal and external professional trainings)
— Free English classes in the company office
— Free use of the services provided by Namecheap (for non-commercial purposes)
— Quarterly teambuilding activities and company corporate events
— RDX gym membership
— Coffee, tea, fruits

Responsibilities
— Provide Marketing department with deep insights regarding all marketing activities
— Support in decision-making
— Building forecasts and predictive customer behavioral models
— Data analysis to detect the reasons for deviations in the main and secondary metrics
— Help maximize revenue by bringing early attention issues or changes in trends related to our products, business practice, processes, finances, and accounting
— Ensure that data is tracked in the proper manner
— Looking for alternative data sources and tools
— Initiate deep digging analysis
— Create visualizations and presenting them to the stakeholders