https://amzn.to/44P6GXZ
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 a Forecast Analyst for TnS Resource Planning, you will be responsible for analyzing historical data, business trends, and other relevant factors to develop accurate volume, handle time, and budget forecasts. 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:
• Data Analysis: Gather and analyze historical data, trends, and other relevant information to identify patterns and areas for improvement, and opportunities to enhance efficiency.
• Forecasting Models: Develop and maintain forecasting models and methodologies to predict future demand or supply levels accurately.
• Accuracy Improvement: Continuously review and refine forecasting models to improve accuracy and reliability.
• Capacity Planning: Evaluate workforce capabilities and align them with anticipated workloads to maintain optimal staffing levels and operational efficiency.
• Staff Scheduling: Collaborate with the Managed Service Provider’s Workforce Management team to align schedules with interval level forecasts to ensure appropriate coverage for different shifts, days off, and peak demand periods.
• Real-time Monitoring: Partner with MSP & Ops leads to continuously monitoring operational performance and metrics to recommend real-time adjustments as needed to meet service level goals.
• Reporting: Prepare regular reports on forecast accuracy, demand trends, and related planning metrics.
• Performance Metrics: Develop and maintain key performance indicators (KPIs) related to workforce management, such as service level, average handle time, schedule efficiency, adherence, and occupancy.
• Process Improvement: Propose and implement process improvements to enhance planning practices and achieve better operational outcomes.
• Collaborate with Teams: Work closely with product, engineering, data science, and operations to understand business strategies, product ramps, efficiencies, and outlooks the forecasting process.
• Product Ramps: Support the forecasting process for new product ramps based on projected impact and historical data.
• Training and Development: Assist in the training and development of staff to ensure they understand the planning processes and their roles in meeting performance targets.
• Technology Utilization: Utilize NICE forecasting software, statistical tools, and advanced Excel skills to develop accurate forecasts, automate scheduling, track performance, and generate reports.
Basic Qualifications:
• 2+ years of experience in an analytical role
• 2+ year(s) experience in creating demand, financial or operational forecasts
• BA/BS Degree or related technical discipline, or related practical experience.
Preferred Qualifications:
• 4+ years of experience in an analytical role
• 2+ years experience with SQL
• 4+ year(s) experience in creating demand, financial or operational forecasts
• Master degree in a related field, or related practical experience.
• Proficiency in using statistical analysis software (e.g., SAS, R, Python) and advanced Excel skills for data analysis and modeling.
• Proficiency in using workforce management software and tools (e.g., WFM software, Excel, data analysis tools).
• Knowledge of workforce management principles, operations, and industry best practices.
• Understanding of key performance metrics and how to optimize them for operational efficiency.
• Previous experience with Workforce Management Software, preferably NICE
• Flexibility and adaptability to respond to changing business needs and priorities.
• Knowledge of forecasting techniques such as time series analysis, regression, and causal modeling.
• Strong analytical and problem-solving skills to interpret data, develop forecasts, make informed staffing decisions and draw meaningful insights.
• Excellent communication skills to collaborate with cross-functional teams and present forecasting results effectively.
• Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
• Ability to challenge incoming requests, value, and impact, driving data-driven decisions.
Skills:
• SQL
• Workforce Management Forecasting
• Problem Solving
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 $88,00 to $145,000. 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
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