Middle+ / Senior Product Data Analyst

Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.

DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.

We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.

If this excites you more than it scares you, you are in the right place.

We’re looking for a Senior Product Data Analyst to join our team and help us discover valuable business insights hidden in large datasets to deliver an even better product to our VR users. You will analyze the data to track a variety of metrics to enhance product engagement and improve customer experience.

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  Collaborate with product, engineering, and marketing teams to define and monitor critical KPIs

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  Build and maintain dynamic dashboards and detailed reports to monitor and analyze performance across key product areas

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  Design, execute, and evaluate product experiments

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  Translate complex analytical insights into actionable strategies and recommendations for key stakeholders

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  Identify, diagnose, and resolve data quality issues to ensure accuracy and reliability of analytics processes

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  Develop predictive models to anticipate user behavior and proactively identify areas for product improvement

• 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

• Evaluate the potential benefits of a proposed product feature, including designing experiments to validate its impact on key metrics

• Develop product hypotheses to boost retention

• Analyze the adoption, engagement, and performance metrics of newly launched features, identifying actionable insights for improvement

• Investigate sudden declines in key metrics, identifying root causes and proposing immediate corrective actions

• Create user segmentation models to enhance email campaign targeting

• HR screening (30 min)

• Tech Interview (1 hour)

• Team Interview (1 hour)

• CEO Interview (45 min)

💼 Explore our hiring process.

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