Senior Analyst, Data and Analytics - Strategic Finance

Company Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.  

This role can be based in San Francisco or Mountain View.  

The Financial Planning & Analysis (FP&A) org delivers visibility and predictability across LinkedIn’s financial performance, ensuring optimal capital and resource allocation towards our highest priority areas. The Data and Analytics team (DnA) under Strategic Finance combines deep business understanding with data foundations, business intelligence, and advanced analytics capabilities. We enable our finance and business partners with scalable data products and unique insights to monitor, forecast, and optimize LinkedIn’s top-line performance. We are looking for an experienced individual contributor with a strong analytics background.  

Responsibilities: 

• Act as a key data partner to empower FP&A teams with data, tools, and insights – primarily focusing on our B2B SaaS businesses (Talent Solutions, Sales Solutions) 
• Develop and enhance data-products to enable self-serve data capabilities for non-technical audience, leveraging developments in AI 
• Partner closely with FP&A teams to understand business challenges, provide data-driven perspective, and build repeatable solutions 
• Partner with data teams across GTM Ops, BizOps, Data Science, and Engineering 

Qualifications

Basic Qualifications: 

• 4+ years of work experience in an analytics or quantitative role. 
• BA/BS degree in quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, or related field or relevant work experience. 

Preferred Qualifications: 

• Experience with SQL, Python, and Data Visualization (Tableau, PowerBI) 
• Experience or demonstrated understanding of with B2B SaaS business models 
• Ability to communicate findings, analysis implications and technical concepts clearly to both technical and non-technical audiences  
• Experience or demonstrated understanding of machine learning pipeline 

Suggested Skills: 

• Data analysis and interpretation 
• Effective communication 
• Project management and prioritization 

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $82,000 to $133,000.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.    

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits. 

Additional Information

Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement_2020 - Signed.pdf.

Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf.

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