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Business Analyst IV

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Data Analyst

apartmentRussell TobinplaceSan Francisco
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Senior Growth Marketing Manager- Remote

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VP, Data Analytics & Ai

apartmentFederal Reserve Bank of New YorkplaceSan Francisco
and Analytics Services Head (VP) to set the overall vision, strategy and execution plan towards establishing Business Data and Analytics Products at the Federal Reserve system level across Data Engineering, Analytics, and Artificial Intelligence. You’ll partner...
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Business Operations Analyst 3

TalentBurst, Inc. | San Francisco | www.resume-library.com |
Job Title: Business Operations Analyst 3
Location: San Francisco, CA or San Jose, CA (Hybrid Role)
Duration: 6 Months (Possible extension)

Job Description:

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.

Certifications & Licenses:

Proficiency in querying and manipulating large data sets for analytical purposes using big.

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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