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    Data analytics/ Business Operations Analyst - San Francisco, United States - Intelliswift

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    Description

    Job ID:
    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


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