What are the responsibilities and job description for the Data analytics/ Business Operations Analyst position at INTELLISWIFT INC?
Title : Data analytics / Business Operations Analyst
Make your application after reading the following skill and qualification requirements for this position.
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 Requirements
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 opportunities, 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 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.
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