Product Analyst

The purpose and function of is role is to provide Product team and the company with high quality data and make sure this data is understood and interpreted correctly. As a customer centric organization, we have a huge number of hypotheses and need to make sure we can properly assess their impact. Apart from that, you will also be able to affect company strategy by leveraging data and providing the team with insights!

If you have curiosity to solve real business problems and can’t live without digging into the data, we’d love to hear from you!

Responsibilities:

• Data gathering administration:
  Goal - we have all necessary data and it’s reliable/tested

  
  

  • Identify the events that we need to track based on metrics
  • Structure/administrate/document events so that Product team (and other teams) can understand them
  • Create tasks for dev team to add new events/refine existing events
  • Do regular quality checks to make sure events are calculated properly
  • Do regular checks on existing charts/metrics to make sure they are calculated properly
    
• Experiment assistance:
  Goal - Product Managers use data in experiments and interpret the results correctly

  
  

  • Help product teams to design experiments and define success metrics
  • Support in organizing the structure and product analytics processes to best support the product teams
  • Generate new ideas for how to leverage the data we have to drive business performance
  • Establish a self-service analytics culture within the domain and the respective product teams through coaching, data and tool expertise
  • Promote a data-driven culture among the company
    
• Data analysis:
  Goal - Product team uses insights from data to solve business problems

  
  

  • Provide advanced analyses to prioritize, frame and drive the projects
  • Perform analyses and build monitoring dashboards on proiects impact
  • Suggest hypotheses based on our data

• Analytics skills and experience:

  
  

  • Previous product analytics experience of more than 3 years
  • Experience working with both event-based Product analytics and BI
  • Knowledge of data-driven product development - HADI cycles, Lean methodology or others
  • Worked with/ have great understanding of subscription based products and major metrics
  • Good with simple math, statistics and numbers in general
    
• Communications and mindset:
  • Strong conversational level of English (Upper-intermediate or Advanced)
  • Clear and structured communication (to be able to explain data to Product Team)
  • Eager to get to the bottom of the problem (can explain why proposed solution is better than other)
  • You like data and spending hours researching datasets
  • The ability to work under pressure and adapt to change
    
• Tools:
  • Proficient in database software - PostgreSQL, able to write complex queries
  • Proficient in data analytics tools - MixPanel, Amplitude

Nice to have:

• Predictive analytics experience
• Python knowledge
• Experience working with high-load systems and large datasets