Data Analytics Team Lead
Posted 1ds ago
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Job Description
Data Analytics Team Lead guiding data analysis for Printify, enhancing data-driven initiatives. Leading a team to collaborate with international teams on impactful projects in the print-on-demand industry.
Responsibilities:
- Lead a team of up to 4 data analysts working with product and business teams across our Supply domain
- Guide the data analysis work across wide range of product areas, customer behaviour, partner performance and others
- Performance management and evaluation, regular 1-to-1 meetings to discuss workload and personal development of data analysts
- Drive high impact analytical initiatives across the organisation
- Build relationships and manage wide array of stakeholders
- Create, prioritise and proactively communicate the backlog of the analytics team
- Work together with the Heads of Product to align the backlog to the top impactful initiatives in the Supply area
- Lead efforts to enhance data driveness in the company
- Mentor peers and stakeholders in data usage and its value
- Participate in hiring process to bring the best product and data analytics talent to Printify
- Equip the team with latest analytical and statistical techniques and advancements relevant to Printify business
Requirements:
- Strong written & verbal English communication skills
- Track record of managing priorities across wide stakeholder groups
- 5+ years of professional experience in data analysis
- 1+ years of experience leading team of data analysts
- Previous experience in a product company or a marketplace is a plus
- Prior experience applying AI in a data context is a plus, but not expected
- A strong curiosity and eagerness to experiment with AI and integrate it into workflows is essential
- Demonstrated ability to present and clearly articulate summarized data analysis results
- Advanced SQL skills and experience with Snowflake or similar data warehouses
- Hands-on experience with BI tools to create interactive dashboards and visualizations (Looker is a plus)
- Solid understanding of data modeling and data quality principles
- Hands-on experience with event tracking and product analytics tools (Amplitude is a plus)
- Solid understanding of statistics and AB testing
- Hands-on experience with product experimentation
- Empathy and ability to work with employees with different professional and cultural background
Benefits:
- A global, inclusive team that’s as supportive as it is ambitious and serious about getting things done
- An opportunity to work remotely
- Flexible working hours (start your day as late as 11 AM)
- Private health insurance
- 2 extra paid days off to focus on your mental or physical well-being
- 1 extra paid day off to celebrate a Birthday or any other celebration of your choice
- Learning Budget to support your professional development
- Access to mentorship, internal meetups, and hackathons, both on-site and online
- Exciting team-building events and parties you’ll never forget!
- Design and order your own merch using our platforms with an employee discount




















