Data Product Analyst

Our requirements

• 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 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.

Optional

• Travel or e-commerce domain experience.
• Comfortable using AI tools (e.g. to query and analyze data, not just for coding).
• Google Analytics experience for traffic and acquisition context.
• Experience with session replay or UX analytics tools (e.g., Microsoft Clarity).
• Python or R experience for one-off analysis scripts.

Your responsibilities

• 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.

About the project

What 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.

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