Senior Forecasting Business Analyst at LinkedIn

Omaha, Nebraska, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

158000.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Budget Planning, Forecasting, Analysis, Correlation Analysis, Cohort Analysis, Predictive Modeling, Data Analysis, Statistical Techniques, Model Monitoring, Reporting, Cross-functional Collaboration, Data Visualization, Problem Solving, Critical Thinking, Time Management, Organizational Skills

Industry

Software Development

Description

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, 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. This role will be based in LinkedIn’s Omaha, NE office. The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning, forecasting, and analysis processes, providing insights and recommendations to drive Trust Operation’s financial performance and strategic decisions. Candidates will have a strong understand of and ability to apply analytical principles such as correlation analysis, cohort analysis, & predictive modeling Key Responsibilities: • Analyze large datasets to identify trends, patterns, and insights to drive adjustments to models, develop reporting, identify opportunities, and provide recommendations to enable decision making. • Use statistical techniques to develop, implement, and maintain predictive models to forecast operational and financial performance. • Monitor model performance and drive continuous improvement to models based on changes in trends, products, business decisions, and feedback. • Prepare detailed operational & budget analysis, variance analysis, and reporting for leadership on weekly, monthly, quarterly, and annual basis. • Collaborate with cross-functional teams to define business problems and change impact to develop data-driven solutions, managing within weekly capacity plans and budget constraints. • Present findings and insights to stakeholders in a clear and actionable manner. • Support ad-hoc analysis and special projects as needed. • Stay current with industry trends and advancements in analytics, statistics, and predictive modeling. Qualifications Basic Qualifications: • Bachelor’s in Statistics, Data Science, Computer Science, Mathematics, Economics, or related technical field or equivalent practical experience • Experience in predictive analytics, data analysis, and statistical modeling. • Experience in programming languages such as Python, R, or SQL. • Experience with data visualization tools (e.g., Tableau, Power BI). Preferred Qualifications: • MBA or Masters in Statistics, Data Science, Computer Science, Mathematics, or Economics • Certification in data science or mathematical fields. • Experience with Workforce Management systems (e.g., NICE). • Familiarity with ETL process and data warehousing techniques. • Strong attention to detail and accuracy. • Excellent communication skills, with the ability to communicate complex analytical information clearly and effectively. • Strong organizational and time management skills. • Ability to work independently and as part of a team in a fast-paced environment. • Excellent problem-solving, critical thinking, and analytical abilities • Familiarity with big data technologies (e.g., Hadoop, Spark) and data analytics tools. Suggested Skills: • Budget forecasting and planning • Workforce Management Planning • Data analysis • Data visualization LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $95,000 to $158,000. 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 [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. 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. Workplace Type: Hybrid Career Track & Grade: IC3/8 Department: Engineering

Responsibilities

The analyst will support budget planning, forecasting, and analysis for Trust Review Operations, providing insights and recommendations to enhance financial performance and strategic decisions. Key duties include analyzing large datasets, developing and maintaining predictive models using statistical techniques, and preparing detailed operational and budget reports for leadership.