Product Analytics Manager

Product-related data analytics is focused on a quantitative understanding of what users are doing within Miro (based on digital footprints, surveys, and experiments) aiming to see what they like or dislike and what leads them to engage, return, or churn. We consider Product Analytics Manager is a bi-direction driver. On the one hand, you'll transform business goals to data requests and reports/dashboards, on the other, you'll proactively explore data to bring insights and drive right decisions.

What you'll do

Hands-on Analytics (50%):

  • Rolling-out ‘data-as-a-service’ approach for Product teams / Research team to make data easy to access, understand and make decisions
  • Communicate with Product and cross-functional teams, defining metrics they track, planning report structures, making it visually appealing and easy to understand, and automating the reporting process in our BI system
  • Work hands-on with the team to manage the end-to-end process: scope projects, build pipelines and data models, synthesize results, build dashboards and reports
  • Measure the impact of both existing and new product features and growth experiments on our key metrics (eg. activation, number of active teams, the overall lifetime value of our customers, conversions, etc)
  • Identify and provide insights that will impact product strategies
  • Reply for ad-hoc data requests from dedicated teams
  • Directly contribute to the development of new feature ‘Analytics and insights’ that aims to deliver value from the data to our enterprise customers

Team Development (25%):

  • Contribute to building a high-performing, high-throughput Data team in Perm and Amsterdam (Data Analysts, Engineers and Scientists)
  • Coach and facilitate team and cross-functional behavior
  • Contribute to periodic performance reviews and participate in promotion process

Methodology elaboration (25%):

  • Introduce and coach the team on the latest analytical methodologies
  • Think outside the box regarding the data we're collecting and analyzing
  • Evolve experimentation framework and workflow
  • In collaboration with data scientists elaborate ML and implement models for pattern mining, social network analysis, etc. to discover deep structures that drive teams efficiency and satisfaction (including for ‘Analytics and insights’ feature)

What you'll need

  • 5+ years of data analytics work experience
  • Expertise in statistical methods, experimental design, using quantitative analysis to impact key decisions
  • Experience writing SQL queries and working with large data sets
  • Experience in product analytics and BI tools (eg. GA, Kissmetrics, Amplitude, Looker, Tableau, or similar)
  • Experience in delivering analytical solutions for complex product-related tasks (user pattern research, supporting experiments, feature analysis to improve the product metrics, use-cases analysis, etc.)
  • Ability to build clear, concise and informative dashboards, and communicate effectively with managers and executives
  • Understand overall business value, rather than think and care just about numbers and charts
  • Experience dealing with unstructured business issues and successfully leading team to resolve these issues
  • Strong project management skills, remain focused while working across a wide variety of projects
  • Excellent English language skills

Nice to have

  • Programming skills in R/Python.
  • Experience in collaboration with data engineers on elaborating data model and supporting its consistency.
  • General knowledge of data science methods and applications.
  • Management experience.

What’s in it for you

  • Stock option program
  • Medical Insurance coverage
  • Travel allowance for commute
  • Lunch, snacks & drinks provided
  • Team outings and collaboration
  • Flexible time off
  • Join our inspiring workplace at TQ Central

About Miro

Miro is a leading visual collaboration platform for cross-functional teams in organisations of all sizes. Over 4 million managers, designers, agile coaches, marketers, and other professionals collaborate, visualise and collect ideas and share their work using our product. We have customers from the world's most successful and innovative companies, including teams inside Netflix, Twitter, Skyscanner, Qlik, Upwork, Expedia, Spotify, eBay, Cisco, Sapient, Geometry, Unbounce, Autodesk, PwC, Deloitte and others

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