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