Senior Data Product Analyst
- 5+ years of experience in product, marketing, or business data analysis.
- Strong SQL skills for analyst work: querying and aggregating warehouse data (not building ETL pipelines).
- Hands-on Tableau/Power BI experience as a user: published data sources, filters, and aggregated reporting.
- Hands-on Mixpanel/Amplitude/GA4 experience: events, funnels, cohorts, and experiment properties.
- Practical A/B test analysis experience (hypothesis framing, sample checks, segmented readouts).
- Experience with multi-market B2C consumer products (not B2B/enterprise tools) - comfortable thinking across different markets and user behaviors, not just one locale.
- High level of English, written and verbal.
Nice to have:
- Travel or e-commerce domain experience.
- Comfortable using AI tools (e.g. to query and analyze data, not just for coding).
- Experience with session replay or UX analytics tools (e.g., Microsoft Clarity).
- Python or R experience for one-off analysis scripts.
COOPERATION MODEL
The project is delivered fully remotely, but there will be occasional meetings at the Warsaw office
WE OFFER:
- A new way to apply with the AI Recruiter (AIR) – during the process you can talk to a virtual recruiter 24/7, with no need to wait for a phone call. The final decision is always made by the Project Owner.
- Project-based collaboration, with settlement based on stages and acceptance protocols for individual deliverables.
- Administrative and billing support from Connectis related to the collaboration.
- Participation in industry events and technology meetups.
- PLN 5,000 for referring a friend to our projects.
- A flexible B2B collaboration model, delivering services for a renowned Partner in the travel tech industry.
- A fast, fully remote process.
Thank you for all applications. We would like to inform you that we will contact selected candidates.
,[Partnering with Product on recurring analyses: funnel conversion, campaign health, experiment outcomes, and identifying where users drop off., Supporting price accuracy and metasearch performance: analyzing patterns, quantifying impact, tracking trends together with engineering and platform teams., Owning Mixpanel data quality: validating events, maintaining dashboards, flagging tracking gaps., Designing and interpreting A/B tests: checking sample balance, segmenting when it changes the decision, and delivering clear recommendations with stated confidence and caveats., Using and maintaining operational reporting in BI tools (bookings, revenue, marketing performance, funnel health) - reading and acting on dashboards, with the option to build your own., Communicating findings clearly to Product, stakeholders, and leadership - even when the data isn't strong enough yet to support a decision.] Requirements: Data analysis, Tableau, Power BI, Mixpanel, Amplitude, SQL, A/B Testing, AIPodobne oferty
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