Business Data Analyst

Company:  Prosperix
Location: San Francisco
Closing Date: 21/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Minimum Requirements

  • Bachelor's degree in a technical, quantitative, or business field
  • 4+ years of experience in Data science, statistics, and quantitative data analysis
  • Proficiency in SQL or another programming/scripting language (Python/R)
  • Strong communication skills and attention to detail
  • Knowledge of software product development processes and experimentation (e.g., AB testing)
  • Advanced SQL skills are required
  • Experience in independently managing complex projects
  • Ability to present results and recommendations to executive audiences
  • Willingness to learn new analytical techniques and frameworks
  • Excellent analytical, quantitative, and interpersonal skills
  • Leadership and self-direction abilities

Responsibilities

  • As a member of the Ads Product finance team, we are responsible for growing the Client's Ads business through holistic financial support and analytical insight.
  • The project will be centered around supporting the Client's Search Ads team.
  • Acting as a business data scientist on the finance team, we ensure that the Client makes sound financial decisions.
  • Your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions.
  • The Business Data Analyst serves as a key member of the finance team, ensuring sound financial decisions through modeling business scenarios, tracking performance metrics, and providing analytical insight for strategic decision-making.
  • Collaborate with project stakeholders to uncover user/advertiser insights, identify trends, and suggest growth opportunities.
  • Work with a team of analysts to collect and analyze large-scale datasets, automating processes and creating insightful visualizations.
  • Conduct in-depth analysis of business success metrics and facilitate cross-functional collaboration to establish key success metrics for decision-making.
  • Develop robust analyses and models to drive cost efficiencies and monitor value metrics.
  • Produce regular revenue reports with key insights for the leadership team.
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