Strategic Data Analyst

Avispa Technology

  • San Francisco, CA
  • 8 days ago
  • $50 Per Hour

Highlights

A leading video, audio, and voice technologies company is seeking a Strategic Data Analyst to support strategic business initiatives through financial modeling, forecasting, and data analysis. Develop and maintain financial models, revenue forecasts, and economic analyses to support business planning, licensing strategies, patent valuation, and M&A-related initiatives.

Numbers & Facts

LocationSan Francisco, CA
Salary$50 Per Hour

Description

Strategic Data Analyst 37413144

  • Hourly pay: $50/hr
  • Worksite: Leading audio, video, and voice technologies company (San Francisco, CA 94103 - Hybrid
  • W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
  • 40 hours/week, 6 Month Assignment

A leading video, audio, and voice technologies company is seeking a Strategic Data Analyst to support strategic business initiatives through financial modeling, forecasting, and data analysis.

Strategic Data Analyst Responsibilities:

  • Develop and maintain financial models, revenue forecasts, and economic analyses to support business planning, licensing strategies, patent valuation, and M&A-related initiatives.
  • Analyze large and diverse datasets to generate actionable business insights, summarize key findings, and provide recommendations to support strategic decision-making.
  • Partner with business stakeholders by providing financial analysis, forecasting support, and data-driven insights for prospective business opportunities and licensing activities.
  • Improve data quality, consistency, and reporting processes while identifying opportunities for automation, system enhancements, and operational efficiencies.
  • Prepare reports, presentations, and analytical deliverables while managing multiple projects independently in a collaborative, fast-paced environment.

Strategic Data Analyst Qualifications:

  • 3-5 years of experience as a Data Analyst with Finance and M&A experience.
  • Bachelor's degree in Finance, Business, Business Management, or a related field.
  • Strong financial modeling, forecasting, and analytical skills.
  • Experience analyzing large datasets and translating findings into business recommendations.
  • Proficiency with Microsoft Office Suite, including advanced Excel.
  • Interest and ability to quickly learn new software applications.

Shift:

  • Hybrid: 2 days on-site per week.

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