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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.
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 is located in Omaha, Nebraska.
The Resource Planning Team leads Trust & Safety’s workforce planning, forecasting, and operational guidance. As the Operational Planning Data Lead for TnS Resource Planning, you will be responsible for analyzing historical data, multiple data sources, and KPIs to design processes to preserve and provide transparency for Operational Planning.
This role plays a crucial part in helping optimize budget, ramp planning, resource prioritization and operational performance through forecasting, scheduling, capacity planning, and real-time monitoring.
Responsibilities:
• Reconciliation and automation of people data across multiple systems and file types to create a single source of truth for all attributes regarding an operational employee.
• Automate people changes in operational data tables and systems.
• Manage SmartSync process for onboarding, offboarding, and mass changes in NICE/IEX
• Design, develop and deploy process to capture key KPIs and operational planning data to build a historical repository for Operational Planning and Analysis.
• Analyze and develop processes to compare various forecasts to actuals, iterating process improvements towards automation.
• Understanding of WFM key metrics and industry definitions to ensure operational application aligns with industry standards.
• Mentoring junior staff on analysis craftsmanship & best practices of RP/WFM Data including SQL, MS Power Platform, data structure and visualization of information.
• Design and implementation of Workforce Data Archival process.
• Develop process to maintain data integrity for reporting while allowing flexibility for actioning on data in production environments.
• Maintain historical headcount and key planning assumption data to inform future forecasts models.
• Reconcile data discrepancies & ops understanding with Data Science (DS) and Tools teams.
Basic Qualifications
• 3+ years in an analytical, engineering or data management role
• BA/BS Degree in a related technical discipline, or equivalent practical experience
Preferred Qualifications
• 5+ years in an analytical, engineering or data management role
• 5+ years experience in SQL, SSIS, and ETL processes
• Experience with workforce management software and tools (e.g. WFM software, Excel, data analysis tools) particularly extracting data.
• Knowledge of workforce management principles, operations, and industry best practices.
• Excellent communication skills to collaborate with cross-functional teams and present effectively.
• Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels
Suggested Skills:
• SQL
• ETL processing
• Data Analytics
You will Benefit from our Culture:
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $107,000 to $178,000. 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.
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: https://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.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 [email protected] 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.
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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
