Full-Time

Manager – Data Foundations

Center of Ops Innovation

Posted on 2/19/2025

LinkedIn

LinkedIn

10,001+ employees

Professional networking and job search platform

Enterprise Software
Education

Compensation Overview

$123k - $199kAnnually

+ Annual Performance Bonus + Stock + Incentive Compensation Plans

Senior

Company Historically Provides H1B Sponsorship

San Francisco, CA, USA

This role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days.

Category
Supply Chain Management
Operations & Logistics
Required Skills
Data Science
SQL
Financial analysis
Data Analysis

You match the following LinkedIn's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor's Degree in Business, Business Analytics, Finance, or related field AND minimum 5 years of experience in finance, finance accounting, management consulting, investment banking, or related field OR equivalent experience
  • 4+ years of experience working with data, systems or tools in a business setting, including data management, data science, analytics, business intelligence, operations, engineering, reporting, or consulting
  • 2+ years of experience using SQL to create, manage, maintain, and manipulate large datasets
Responsibilities
  • Inspire excellence through example, coaching, developing and inspiring others; foster a positive and values-driven team culture
  • Build a scalable solution that synthesizes bookings, expenses, headcount, and product data to provide a foundation for financial analysis and decision making
  • Lead global data foundations and operations initiatives including solution design, roadmap development, prioritization, and successful implementation
  • Create and propose solutions to enable better data integrity, decrease overall complexity, minimize technical debt, simplify processes, and improve productivity
  • Act as a key data & analytics partner to Global Finance leaders to understand business challenges and create data-centric solutions to address them
  • Work with data teams across Sales, Finance, HR, DS, Eng to influence our broader data strategy, source various datasets, and ensure alignment
  • Identify incremental opportunities and drive innovations across programs and tools to improve user experience, ensure data accuracy, increase data reliability, and unlock productivity
  • Effectively communicate the status of projects and insights globally
Desired Qualifications
  • 2+ years of experience creating and maintaining business-critical datasets, data infrastructure, tools, and systems
  • 2+ years of experience with Python and Data Visualization (Tableau, PowerBI)
  • Track record of driving measurable business impact through technical expertise and business acumen; analytical, structured, systematic and creative problem solver
  • Proven experience leading data & BI initiatives, including data infrastructure, end-to-end solution design, deployment, process transformation, troubleshooting, and data-driven insights
  • Experience in a strategy and finance role, demonstrated understanding of FP&A processes, or demonstrated genuine interest in learning the space
  • Proven experience managing a large, diverse group of stakeholders and driving global projects independently
  • Ability to communicate findings clearly to both technical and non-technical audiences

LinkedIn is a professional networking platform that connects job seekers with employment opportunities and businesses with talent. It serves a wide range of users, including individual professionals, recruiters, and companies across various industries. The platform operates globally and facilitates professional networking, job searching, and talent acquisition. LinkedIn's business model is primarily subscription-based, offering premium memberships that provide enhanced features like advanced search capabilities, insights, and learning resources. Additionally, it generates revenue through advertising and recruitment services, allowing companies to post job listings and target potential candidates. LinkedIn's extensive database and advanced algorithms help efficiently match job seekers with relevant opportunities, streamlining the hiring process for employers.

Company Size

10,001+

Company Stage

Acquired

Total Funding

$121M

Headquarters

Mountain View, California

Founded

2002

Simplify Jobs

Simplify's Take

What believers are saying

  • LinkedIn's new career break feature aligns with work-life balance trends.
  • Remote work trends increase demand for LinkedIn's online networking services.
  • AI integration enhances LinkedIn's job matching and candidate recommendations.

What critics are saying

  • Emerging networking platforms with unique features may draw users from LinkedIn.
  • Decentralized networks prioritizing privacy challenge LinkedIn's business model.
  • Stricter data regulations could impact LinkedIn's data-driven services.

What makes LinkedIn unique

  • LinkedIn's platform integrates professional networking with job searching and talent acquisition.
  • The platform offers premium memberships with advanced search and learning resources.
  • LinkedIn's extensive database and algorithms streamline job matching and hiring processes.

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Benefits

Hybrid Work Options

Performance Bonus

Stock Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
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