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
This role will be based in Sunnyvale, San Francisco, Seattle, New York, Chicago, Toronto, or Washington DC. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
We are seeking a Tech & Analytics Sr Associate to join our Tech and Transformation team, supporting LinkedIn’s Global Business Organization (GBO). This is a unique opportunity to design, build, and scale business applications and reporting solutions that are purpose-built for our stakeholders, future-proofed for a rapidly evolving business landscape, and scalable across all lines of business. You will apply your expertise in system design, analytics, and business strategy to streamline reporting capabilities and influence our broader data strategy.
In this role, you will collaborate with cross-functional teams, including Sales Operations, Business Operations, Finance, Data Science, and Engineering, to deliver critical business solutions and processes on Microsoft Power Platforms. You will drive alignment on metric source-of-truth datasets, develop a deep understanding of key sales metrics, and partner with Data Science and Engineering to build optimal platforms for data processing and consumption.
Responsibilities:
- Build, maintain, and continuously improve business applications, providing architectural guidance and driving Power BI best practices across LinkedIn
- Partner with cross-functional teams to design, implement, and support business solutions and processes on Microsoft Power Platforms
- Develop and maintain scalable data assets, dashboards, and automated reports to enable effective decision-making
- Develop a deep understanding of the key sales metrics for each of LinkedIn’s SaaS lines of business
- Drive alignment on key sales metrics and source-of-truth datasets across Sales Operations, Business Operations, Finance, Data Science, and Engineering teams.
- Collaborate with Data Science and Engineering to support data processing and consumption needs
- Execute global analytics initiatives, including solution design, roadmap development, prioritization, and implementation
- Write SQL/Python queries to extract and analyze data, generating actionable insights and presenting findings in Power Platform applications
- Proactively identify opportunities to scale insights through automation and self-serve mechanisms
- Build cross-functional relationships to drive project success
- Communicate findings and recommendations to stakeholders at multiple levels through visual displays of quantitative information
Qualifications
- 4+ years of experience developing enterprise business applications
- 2+ years of experience with Power Platforms (PL-900 certification) and JavaScript, C#, or Typescript
- Bachelor’s degree in Math, Computer Science, Economics, Business, Engineering, or other quantitative fields, OR equivalent experience
Preferred Qualifications:
- 3+ years of experience with relational database queries (e.g., SQL, Power BI)
- Experience mentoring developers or leading teams
- Knowledge of end-to-end Financial Planning & Budgeting processes, including forecasting, headcount planning, and spend management
- Excellent communication skills, with the ability to distill complex strategies into actionable recommendations
- Comfortable with data and ambiguity; able to engage in both operational tactics and big-picture strategy
- Independently and proactively seeks information, solves conceptual problems, and delivers results in challenging situations
- Adaptable to change and excited by working in a rapidly evolving team
- Highly analytical, with experience decomposing and solving real-world business problems using advanced Excel models, SQL, or Power BI
Suggested Skills:
- Data Driven
- Presenting Data
- Analyzing Data
- Mentoring
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $112,000 to $185,000. 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
We seek candidates with a wide range of perspectives and backgrounds and we are 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 committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
