Acting as the go-to data partner for the Product Marketing team, providing actionable insights that influence strategy and execution
Collaborating on projects, campaigns, and experiments from day one to guide goal setting, KPI definition, and performance measurement
Analyzing data related to product discounts, incentives, educational campaigns, and user behavior to uncover impactful insights
Translating complex findings into clear, compelling stories that drive informed decision-making across the team
Defining data models in collaboration with data engineers and ensuring high data quality through rigorous QA processes
Building and maintaining Looker dashboards, explores, measures, and dimensions to enable self-serve, insightful analysis
Continuously improving the Product Marketing data stack and tooling to enhance visibility into key metrics
Supporting the team in becoming more data-sufficient by identifying training opportunities and simplifying access to data
Requirements
Bachelor’s degree in a quantitative field (e.g., Mathematics, Economics, Statistics, Data Science, Physics, Computer Science)
4+ years of experience in data analytics, ideally with a focus on product and marketing
Strong English written & verbal communication skills, with the ability to clearly translate complex data into actionable insights for both technical and non-technical audiences
Proficient in SQL, with experience using Snowflake or similar data warehouses
Skilled in building dashboards and visualizations with BI tools (Looker is a plus)
Comfortable working with Excel and Google Sheets for data analysis
Solid grasp of data modeling and data quality best practices
Experience in product analytics, event tracking tools (Amplitude is a plus), and A/B testing
Ability to apply advanced statistical techniques and causal inference methods to real-world business problems
Experience with Python for data analysis
Exposure to machine learning for business use cases
Benefits
Free and healthy lunch if you work from the office
Design and order your own merch using our platforms with employee discount
Be part of a friendly, inclusive, and global team
An opportunity to work remotely or in a modern and welcoming office in Riga
Flexible working hours (start your day as late as 11 a.m.)
Health insurance
Access to mentorship, internal meetups, and hackathons both on-site and online
Exciting team-building events and parties you’ll never forget!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsSQLdata modelingdata qualityPythonstatistical techniquescausal inferenceA/B testingproduct analyticsExcel