Lead Adv. Analyst, Guest Product - Remote / Telecommute

San Francisco, CA, US • Posted 14 hours ago • Updated 14 hours ago
Contract W2
Contract Corp To Corp
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • A/B Testing
  • Advanced Analytics
  • Agile
  • Analytical Skill
  • Analytics
  • Artificial Intelligence
  • Business Acumen
  • Capacity Management

Summary

We are looking for Lead Adv. Analyst, Guest Product - Remote / Telecommute for our client in San Francisco CA

Job Title: Lead Adv. Analyst, Guest Product - Remote / Telecommute

Job Location: San Francisco CA

Job Type: Contract

Job Overview:

Pay Range: $119.13hr - $124.13hr

Requirement/Must Have:

  • 6+ years of industry experience with a degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
  • Prior experience in an advanced analytics or product data science role.
  • Exceptional business acumen, strategic thinking skills, and the ability to conduct rigorous analysis and make informed judgments.
  • Strong verbal and written communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
  • Proven stakeholder management skills, with the ability to collaborate and influence across functions.
  • Experience partnering with product teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
  • Experience in analysis of A|B experiments and statistical data analysis.
  • Experience designing and building metrics, from conception to building prototypes with data pipelines.
  • Strong expertise in at least one programming language (Python or R) and SQL.
  • Experience with AI-assisted analytics (Claude, ChatGPT, etc).
  • An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

Responsibilities:

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making.
  • Collaborate closely with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
  • Design, execute, and analyze experiments to measure feature impact and guide product iterations.
  • Leverage causal methods when traditional randomized trials are not available.
  • Design and build metrics and dimensions to monitor product and business performance.
  • Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
  • Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
  • Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.
  • Leverage AI to automate repetitive tasks and empower stakeholders.

Nice to Have:

  • Masters or PhD in a quantitative field.

Skills:

  • Statistics.
  • Econometrics.
  • Computer Science.
  • Engineering.
  • Mathematics.
  • Data Science.
  • Operations Research.
  • Python.
  • R.
  • SQL.
  • A|B Testing.
  • Statistical Modeling.
  • Data Mining.
  • Forecasting.
  • AI-assisted analytics.
  • Claude.
  • ChatGPT.

Qualification And Education:

  • Degree in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research).

==

Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516350
  • Position Id: CA_LAGP_0902
  • Posted 14 hours ago
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