Advanced Analytics - Remote / Telecommute

CYNET SYSTEMS INC.
San Francisco, United States of America
26 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 258K

Job location

Remote
San Francisco, United States of America

Tech stack

Adobe Analytics
A/B testing
Data analysis
Data Logging
Data Analytics
Drilldown

Job description

  • The Advanced Analytics professional will lead initiatives focused on improving guest experience through data-driven insights and measurement strategies.
  • The role involves leveraging internal data sources to guide both strategic direction and tactical execution.
  • The position requires conducting deep analytical work, building reporting solutions, and applying experimentation and causal inference techniques to solve complex business problems.
  • The candidate will collaborate with cross-functional teams and communicate insights effectively to both technical and non-technical stakeholders., * Conduct deep-dive analysis to extract actionable insights and inform business strategy.
  • Define, design, and maintain dashboards and self-service reporting tools.
  • Establish data foundation requirements including logging and metrics.
  • Collaborate with Product, Engineering, Finance, and Data Science teams.
  • Develop measurement strategies to support business decision-making.
  • Apply experimentation frameworks such as A/B testing and causal inference.
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Requirements

  • 10+ years of experience in data analytics, measurement, and experimentation.
  • Experience working in advanced analytics or business data science roles.
  • Experience with marketplace or business strategy environments.
  • Experience in reporting, experimentation, deep-dive analysis, and causal inference., * Experience with software products and marketplace dynamics.
  • Ability to influence senior stakeholders and drive strategic initiatives.
  • Strong storytelling skills using data insights.
  • Ability to work in a fast-paced and global environment.

Skills:

  • Strong proficiency in SQL for data analysis.
  • Strong analytical and statistical skills.
  • Experience with experimentation and measurement models.
  • Strong business acumen and strategic thinking.
  • Excellent communication and stakeholder management skills.
  • Ability to manage multiple priorities and complex workflows.

Qualification And Education:

  • Bachelor's, Master's, or PhD in a relevant field.

About the company

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