Prosperix
Business Data Analyst
Prosperix, San Francisco, California, United States, 94199
Minimum Requirements
Bachelor's degree in a technical, quantitative, or business field4+ years of experience in Data science, statistics, and quantitative data analysisProficiency in SQL or another programming/scripting language (Python/R)Strong communication skills and attention to detailKnowledge of software product development processes and experimentation (e.g., AB testing)Advanced SQL skills are requiredExperience in independently managing complex projectsAbility to present results and recommendations to executive audiencesWillingness to learn new analytical techniques and frameworksExcellent analytical, quantitative, and interpersonal skillsLeadership and self-direction abilitiesResponsibilities
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.
#J-18808-Ljbffr
Bachelor's degree in a technical, quantitative, or business field4+ years of experience in Data science, statistics, and quantitative data analysisProficiency in SQL or another programming/scripting language (Python/R)Strong communication skills and attention to detailKnowledge of software product development processes and experimentation (e.g., AB testing)Advanced SQL skills are requiredExperience in independently managing complex projectsAbility to present results and recommendations to executive audiencesWillingness to learn new analytical techniques and frameworksExcellent analytical, quantitative, and interpersonal skillsLeadership and self-direction abilitiesResponsibilities
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.
#J-18808-Ljbffr