Intelliswift
Data analytics/ Business Operations Analyst
Intelliswift, San Francisco, California, United States, 94199
Title - Data analytics/ Business Operations AnalystLocation - San Francisco or San Jose HybridDuration - 6 MonthsPay rate - $91.55 per hour on W2
Insights/Analytics Responsibilities• Work with business to understand cause and effect of actions, driving conversations around projections and performance• Provide weekly & quarterly financial reporting to stakeholders highlighting insights & drivers of performance• Identify, understand, & communicate root causes of changes in metrics and correlations to financial objectives• Understand how team performance impacts overall company growth and performance• Translate business questions and requirements into analytics projects and interpret results to drive meaningful business insights• Work alongside strategy leadership to identify areas of growth and risk for programs• Run, maintain, and further develop financial projection models for existing programs & new initiatives
General• Experience working cross functionally; providing insights & reports to teams such as Data Engineering, Business Operations, Finance, etc.• Strong communication skills; provide multiple reports at various granularities (regional, product splits, etc.), manage stakeholder expectations, and ensure timely follow ups to inquiries• Ability to work between multiple systems and tools such as Azure & Microsoft Excel• Ability to work with data to unlock insights, revenue opportunity and analyze & diagnose unexpected business performance• Ability to present large sets of data in a simple and meaningful way that is easily digestible for stakeholders• Develop a deep understanding of an overall business unit, associated data, & workflows to identify risks, opportunities, and look around the corner to foresee future challenges• Familiarity with the sales process and associated KPIs
Technical Requirements• Extreme comfort working with data in Microsoft Excel• Proficiency in querying and manipulating large data sets for analytical purposes using big data platforms (UI platforms or scripting)• Tools knowledge: Microsoft Office Suite• Experience with Linux, Bash, git, Python, Spark
Education Requirements• Bachelor's or master's degree or 7+ years of relevant experience• 2+ years of experience in finance, data analytics, business analytics, or similar areas
Required Skills:• Microsoft Excel• Finance• Data Analytics• Forecasting• SQLAdditional Skills:• Business Operations• Bash• Hadoop/AWS/Azure• Excel• Hana• Linux• Metrics• Microsoft Office• Operations• Power Bi• Python• Tableau• Optimization• Tableau Software• Business Intelligence
Insights/Analytics Responsibilities• Work with business to understand cause and effect of actions, driving conversations around projections and performance• Provide weekly & quarterly financial reporting to stakeholders highlighting insights & drivers of performance• Identify, understand, & communicate root causes of changes in metrics and correlations to financial objectives• Understand how team performance impacts overall company growth and performance• Translate business questions and requirements into analytics projects and interpret results to drive meaningful business insights• Work alongside strategy leadership to identify areas of growth and risk for programs• Run, maintain, and further develop financial projection models for existing programs & new initiatives
General• Experience working cross functionally; providing insights & reports to teams such as Data Engineering, Business Operations, Finance, etc.• Strong communication skills; provide multiple reports at various granularities (regional, product splits, etc.), manage stakeholder expectations, and ensure timely follow ups to inquiries• Ability to work between multiple systems and tools such as Azure & Microsoft Excel• Ability to work with data to unlock insights, revenue opportunity and analyze & diagnose unexpected business performance• Ability to present large sets of data in a simple and meaningful way that is easily digestible for stakeholders• Develop a deep understanding of an overall business unit, associated data, & workflows to identify risks, opportunities, and look around the corner to foresee future challenges• Familiarity with the sales process and associated KPIs
Technical Requirements• Extreme comfort working with data in Microsoft Excel• Proficiency in querying and manipulating large data sets for analytical purposes using big data platforms (UI platforms or scripting)• Tools knowledge: Microsoft Office Suite• Experience with Linux, Bash, git, Python, Spark
Education Requirements• Bachelor's or master's degree or 7+ years of relevant experience• 2+ years of experience in finance, data analytics, business analytics, or similar areas
Required Skills:• Microsoft Excel• Finance• Data Analytics• Forecasting• SQLAdditional Skills:• Business Operations• Bash• Hadoop/AWS/Azure• Excel• Hana• Linux• Metrics• Microsoft Office• Operations• Power Bi• Python• Tableau• Optimization• Tableau Software• Business Intelligence