Senior Product Data Analyst

TL;DR

Senior Product Data Analyst: Discovering valuable business insights hidden in large datasets to deliver an even better product to VR users with an accent on tracking a variety of metrics to enhance product engagement and improve customer experience. Focus on developing predictive models to anticipate user behavior and proactively identify areas for product improvement.

Location: Remote

Company

hirify.global is building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.

What you will do

• Collaborate with product, engineering, and marketing teams to define and monitor critical KPIs.
• Build and maintain dynamic dashboards and detailed reports to monitor and analyze performance across key product areas.
• Design, execute, and evaluate product experiments.
• Translate complex analytical insights into actionable strategies and recommendations for key stakeholders.
• Identify, diagnose, and resolve data quality issues to ensure accuracy and reliability of analytics processes.

Requirements

• 3+ years of experience in data analytics in a high-growth environment.
• Proficient in SQL and Python, with proven ability to manipulate large datasets, extract meaningful insights, and develop actionable conclusions.
• Demonstrated experience creating advanced dashboards preferably using Tableau.
• Proven background in designing, executing, and analyzing A/B testing.
• Strong ability to translate data into compelling narratives for both technical and non-technical audiences.

Culture & Benefits

• The chance to be part of a pioneering team in a rapidly evolving industry.
• Direct impact on the future of media and technology.
• Flexible working hours to accommodate your lifestyle.
• Work remotely from almost anywhere.
• A culture that values innovation, accountability, and collaboration.
• Unlimited DeoVR Premium subscription.

Hiring process

• HR screening (30 min)
• Tech Interview (1 hour)
• Team Interview (1 hour)