Data Analyst

TL;DR

Data Analyst: Analyzing product metrics, funnels, and user journeys to identify opportunities for product growth for a high-load urban services platform with an accent on designing and improving analytics frameworks, running A/B experiments, and leveraging large-scale datasets. Focus on translating findings into actionable recommendations, optimizing SQL queries, and building BI reports for freight delivery services across multiple regions.

Location: Fully remote, worldwide, with hybrid and onsite options also available.

Company

hirify.global is an outsourcing company providing services to a global digital platform in the urban services domain, specializing in developing and optimizing a high-load freight delivery service.

What you will do

• Analyze product metrics, funnels, and user journeys to identify product growth opportunities.
• Design, build, and continuously improve product metrics and analytics frameworks.
• Plan, run, and analyze product research and A/B experiments, communicating results to stakeholders.
• Analyze user behavior using large-scale datasets to generate actionable insights and recommendations.
• Collaborate closely with Product Managers, Designers, and Engineers to influence product and business decisions.
• Develop and maintain analytical data marts and optimize SQL queries.
• Build and maintain BI reports and dashboards to track product performance.
• Utilize Python and data analysis libraries for deep-dive analysis and experimentation.

Requirements

• 3+ years of experience as a Product Data Analyst with deep experience in product metrics and funnels.
• Ability to design, build, and evolve a product metrics framework.
• Proven experience conducting product research and A/B experiments.
• Strong analytical skills for analyzing user behavior and identifying growth opportunities.
• Hands-on experience with large datasets, generating insights and actionable recommendations.
• Close collaboration experience with Product Managers, Design, and Engineering.
• Strong proficiency in Python and data analysis libraries.
• Excellent SQL skills, including optimizing complex queries and building analytical data marts.
• Experience building BI reports and dashboards (e.g., Plotly, Redash, Tableau).
• English level: Intermediate+ (B2) and above.

Culture & Benefits

• Opportunity to work with leaders in FinTech, Healthcare, Retail, and Telecom.
• Flexible work conditions, including full remote, hybrid, or onsite options.
• Guarantee of professional, financial, and career growth through mentoring and adaptation systems.
• Access to a corporate training portal with an updated knowledge base.
• Bright corporate life with parties, pizza days, PlayStation, fruits, coffee, and movies.
• Compensation for certifications (AWS, PMP, etc.).
• Referral program and English courses.
• Private health insurance and compensation for sports activities.