Senior Forecasting Business Analyst
: Job Details :

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, 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 modelingKey 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.Basic 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• Data analysis• Data visualizationLinkedIn is committed to fair and equitable compensation practices.The pay range for this role is $91,000-151,000. 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 Opportunity StatementLinkedIn 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: Please reference and 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 ...@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 interviewA 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. 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