Posted On: 06-13-2017
Position Title: Sr. Forecast Analyst
Job Location: Minneapolis, MN
Contact Information: Alexia Zarling,
Apply online:
JobID: 8409BR



  • Provide Analytical support for Ameriprise Service Delivery Service Operations
  • Responsible for analyzing and forecasting call center staffing needs.
  • Develop and maintain sophisticated forecasting models, and develop tools and techniques that enhance quality, and forecast accuracy.
  • Responsible for analyzing current performance and proposing solution-based process assessments/change requirements
  • Analyze existing business trends for customer behavior, volumes, and service metrics.
  • Review, combine, filter, analyze and leverage data from multiple sources to ensure continuous improvement of service performance.
  • Utilize data findings and analysis to identify process gaps and opportunities for increased service levels. Report information to the leadership team and provide recommendations for solutions.
  • Responsible for leading, monitoring and distributing reporting and analytics to leadership team and other business partners.
  • Facilitate frequent and regular meetings with leadership to maintain working relationships, ensuring data needs are met.
  • Quantify the impact of business initiatives by partnering with all levels of the organization.


Required Qualifications:

  • Bachelor’s Degree, MS preferred.
  • Ability to take initiative, seeks out root causes, and explains business performance.
  • Strong analytical skills, adept data mining, data analysis and data presentation.
  • 3-5 years of Call Center analytics experience and/or business forecasting.
  • Excellent oral presentation skills with the ability to demonstrate clear communication skills.
  • Excellent organizational skills and the ability to balance several on-going projects simultaneously
  • Able to speak both technical and business languages.
  • Able to manage multiple work streams and tasks.
  • Able to think clearly and act positively under pressure.
  • Proficiency in MS Excel, PowerPoint and Word.
  • Experience with SAS a plus
  • 2+ years of forecasting, multivariate analysis, experiential design, statistical analysis or data mining.