Job ID: 24-01332 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