Mavinsys
Senior Business Data Analyst
Mavinsys, San Francisco, California, United States, 94199
Job Title:
Senior Business Data AnalystLocation:
San Francisco, CADuration: 12 monthsJob Description:5-8+ years of experience working with data and analytics with knowledge of statisticsHighly proficient in SQL, Data Visualization software (Qliksense, Tableau, Amplitude), and ExcelExcellent problem-solving and logic skills and end-to-end quantitative thinkingAbility to manage multiple projects simultaneously to meet objectives and key deadlinesOutstanding communications skills with both technical and non-technical colleaguesStrong ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendationsProactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstancesStrong organization, time management, and task prioritization skillsAbility to adapt and flex given changing environments and prioritiesExperience in a scripting language to automate and reuse code. Optional but encouraged: experience in prompt engineering to accelerate development tasksExperience in defining metrics and instrumenting data trackingPartner with Product and Operations leaders and other analytics teams to enable data-driven decisions and key customer insights in the management and operation of our expert networkCollaborate across product management and engineering to ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholdersDefine, implement, and standardize metrics, reports, and dashboards leveraging state-of-the-art business intelligence toolsProvide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn't existSuggest ad-hoc analytic questions, contribute to decision making through opportunity sizing, and facilitate the use of self-serve standard reportsEstablish data quality standards, troubleshoot data validation, proactively identify issues, and see them to resolution
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Senior Business Data AnalystLocation:
San Francisco, CADuration: 12 monthsJob Description:5-8+ years of experience working with data and analytics with knowledge of statisticsHighly proficient in SQL, Data Visualization software (Qliksense, Tableau, Amplitude), and ExcelExcellent problem-solving and logic skills and end-to-end quantitative thinkingAbility to manage multiple projects simultaneously to meet objectives and key deadlinesOutstanding communications skills with both technical and non-technical colleaguesStrong ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendationsProactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstancesStrong organization, time management, and task prioritization skillsAbility to adapt and flex given changing environments and prioritiesExperience in a scripting language to automate and reuse code. Optional but encouraged: experience in prompt engineering to accelerate development tasksExperience in defining metrics and instrumenting data trackingPartner with Product and Operations leaders and other analytics teams to enable data-driven decisions and key customer insights in the management and operation of our expert networkCollaborate across product management and engineering to ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholdersDefine, implement, and standardize metrics, reports, and dashboards leveraging state-of-the-art business intelligence toolsProvide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn't existSuggest ad-hoc analytic questions, contribute to decision making through opportunity sizing, and facilitate the use of self-serve standard reportsEstablish data quality standards, troubleshoot data validation, proactively identify issues, and see them to resolution
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