Business Analyst Sql R Python Jobs in Omaha, NE (NOW HIRING)

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 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.

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. 

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