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Product Analyst

RemotePraha, Praha, Hlavní město, CzechiaProduct

Job description

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!

Job requirements

  • 3+ years of experience in Product Analytics
  • Proficient in database software - PostgreSQL, able to write complex queries, proficient in data analytics tools - MixPanel, Amplitude
  • Fluent English (C1)
  • 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
  • You like data and spending hours researching datasets
  • Clear and structured communication

Nice to have:

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

Responsibilities:

Data gathering administration

  • 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:

  • 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:

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



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