Product Analyst at Multilogin

Job Description

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