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Senior Forecasting Business AnalystLinkedIn • Omaha, Nebraska, United States
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Senior Forecasting Business Analyst

LinkedIn
  • US
    Omaha, Nebraska, United States
  • US
    Omaha, Nebraska, United States
Postuler Maintenant

À propos

Job Description At LinkedIn, our approach to flexible work is centered on trust, clarified 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 understanding of and ability to apply analytical principles such as correlation analysis, cohort analysis, and 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 a 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 an 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 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, having a service dog accompany you, or 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.
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.
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  • Omaha, Nebraska, United States

Compétences linguistiques

  • English
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