[Hiring] Senior Product Data Analyst @Cynet Systems

Role Description

The Advanced Analytics role will develop and lead initiatives focused on improving the guest experience. The candidate will lead measurement and develop insights leveraging a wide range of internal data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate has a strong data and analytics background and is:

• Curious
• Engaged
• Positive
• Detail-oriented
• Solutions-oriented

The candidate will be comfortable in a fast-paced environment, capable of juggling multiple priorities and firm timelines. The successful candidate will have a proven record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams in close collaboration with other functions, especially Product, Engineering, Finance, and Data Science.

The candidate will:

• Have experience with reporting, experimentation, deep-dive analysis, and causal inference techniques, ideally with software products and two-sided marketplace dynamics.
• Use extensive experience with data and insights storytelling to influence large-scale strategic programs through clear and concise communication with both technical and non-technical stakeholders.
• Be comfortable working in a global company and in a highly collaborative environment.
• Have solid experience creating internal advocacy and influencing senior audiences on complex topics.

A Typical Day:

• Conduct strategic deep dives and employ advanced data analysis to extract actionable insights that inform the roadmap.
• Define, design, develop, and maintain a complete suite of self-service dashboards and tools to provide insights to a variety of stakeholders.
• Define data foundation requirements including logging and metrics.
• Collaborate with cross-functional teams, including Product, Engineering, Finance, and Data Science.

Qualifications

• 10+ years of measurement experience and a background in data and analytics work and experimentation.
• High proficiency in SQL for data analysis.
• Strong data and analytics background, fluency with experimentation (A/B tests, experiments, causal inference), measurement models, and data foundation work.
• Deep experience in advanced analytics or business data science within a marketplace or business strategy setting.
• Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments.
• Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
• Proven track record for seamlessly working across different teams and partners.
• Positive and collaborative personality and a commitment to ensuring all activities undertaken are successful.
• Extremely capable in independently structuring and managing fast-paced and complex workflows and priorities.

Education

• Bachelor's, Master's, or PhD degree.