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 or San Francisco.
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 will be part of the People Analytics team within Global Talent Organization at LinkedIn. Our team’s mission is to enable better, faster talent decisions—we turn people data into actionable insights that drive business impact. We are searching for a Sr. People Analytics Analyst to join our Talent Strategy team. This role will primarily focus on the foundational elements needed to effectively measure, report, monitor, and communicate performance and progress towards achieving talent outcomes at LinkedIn. It will also include supporting efforts to scale reporting solutions for key performance indicators (KPI) and outcome metrics and driving and/or supporting strategic analyses across the talent ecosystem. The ideal candidate will have strengths in technical analysis, including the use of SQL, driving action and partnership across cross-functional teams utilizing logic, structure, and effective project management, and navigating ambiguity to manage through competing priorities.
Responsibilities:
- Partner with teammates and Global Talent Organization stakeholders to refine the definition and measurement of metrics that measure key performance indicators (KPIs) and outcomes across the talent organization
- Maintain the framework used to manage our holistic metrics ecosystem and create training and enablement content to drive consistency in metrics use
- Partner with the People Analytics Data team to acquire new data sets, as needed, to measure KPIs and outcomes
- Create and regularly update interim reporting solutions (i.e., Excel reports), as needed, for KPIs and outcome metrics
- Provide the conceptual requirements to create scalable reporting solutions for KPIs and outcome metrics, drive user acceptance testing for solutions, and support the roll-out and adoption of solutions. Note: The build and go-to-market activities for scalable reporting solutions will be owned by the People Analytics Data team
- Monitor KPI and outcome metrics across the talent ecosystem, alongside teammates, to evaluate trends and identify hot spots and areas of focus for actioning
- Partner with teammates to execute planned and unplanned analyses to dive deeper into the root cause of specific trends and issues—provide input on analyses plans, complete analyses, and prepare insights and/or reports with recommendations for stakeholders to influence data-driven decisions and actions
- Create standard templates to communicate data, insights, and recommended actions from monitoring KPI and outcome metrics for LinkedIn overall, Global Talent Organization Centers of Excellence (e.g., Talent Acquisition, Diversity & Inclusion, etc.), and business functions (e.g., Sales, Engineering, etc.)
- Navigate working cross-collaboratively with multiple stakeholder groups simultaneously
- Respond quickly to business needs, balancing agility to address new and evolving issues and focus to not lose sight of previously prioritized work—ensure you are working on the right thing at the right time
- Proactively call out issues (roadblocks) and opportunities that may impact projects at hand
- Serve as a thought partner to teammates on projects—analysis scoping, model reviews (Excel), code reviews (SQL), recommendation formulation, etc.
- Lead, support, and/or participate in team wide projects and events—projects to improve team operations and collaboration, events to promote team connection and learning, etc.
Qualifications
Basic Qualifications:
- 2+ years of work experience in a role that involves reporting or converting data into actionable insights for business decision making
- Knowledge and experience in Excel and PowerPoint
- Knowledge and experience using SQL to query databases and retrieve data for analyses
Preferred Qualifications:
- Bachelor’s degree in Business Administration or Computer Science
- Advanced knowledge and experience in Excel and PowerPoint
- Experience with Visier (HR analytics platform)—experience could include building solutions in Visier and/or utilizing solutions as an end user
- Experience working in HR analyzing people data to drive actions and/or experiencing working at a top consulting firm
- Experience directly working with senior leadership
- Genuine passion for the people domain, either through work, extra-curricular, or thought leadership
- Proactive and resourceful: Independently capable of seeking information, solving conceptual problems, corralling resources, and delivering results in challenging situations
- Highly analytical: Experience decomposing and solving real world business problems, ideally building and using advanced analytical models
- Logical and structured: Able to lead with clear, sound reasoning that influences partners to drive action and change
- Concise communication: Able to credibly and compellingly present and debate recommendations with stakeholders, including senior leadership
- Enthusiastic, team-first attitude: Motivated to work hard in a fast-paced, ever-changing environment to help our growing business
Suggested Skills:
- Consulting
- Business Analytics
- Excel
- SQL
- Stakeholder Management
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is
$91,000 to $151,000. 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://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and
https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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.