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Form of workJob Description
Title - Data analytics/ Business Operations Analyst
Location - San Francisco or San Jose Hybrid
Duration - 6 Months
Pay 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
SQL
Additional Skills:
Business Operations
Bash
Hadoop/AWS/Azure
Excel
Hana
Linux
Metrics
Microsoft Office
Operations
Power Bi
Python
Tableau
Optimization
Tableau Software
Business Intelligence
Location - San Francisco or San Jose Hybrid
Duration - 6 Months
Pay 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
SQL
Additional Skills:
Business Operations
Bash
Hadoop/AWS/Azure
Excel
Hana
Linux
Metrics
Microsoft Office
Operations
Power Bi
Python
Tableau
Optimization
Tableau Software
Business Intelligence
