Senior Manager, Forecasting & Analytics

Fargo, North Dakota
Join our team!
Aug 10, 2017
Job Type
Full Time

The Senior Manager will support strategic decision making by providing business, sales, demand performance, and forecast insights to leadership and partner groups.  This individual will:

  • Develop, build, and maintain monthly sales forecasts (across channels), annual Marketing plan forecasts, and ad-hoc forecasting requests.
  • Partner with Finance and the broader Analytics team to develop forecasting recommendations.
  • Engage and advise marketing and business partners on forecast decisions, targets, and communication of risks and opportunities.
  • Provide senior management with an objective and rigorous point of view to demand forecasting, performance management, and dashboards across all sales channels
  • Synthesize and integrate various data, research, and analyses to work with business partners and generate holistic and impactful insights
  • Provide analyses and summaries of results, interpreting and communicating results and recommendations to business stakeholders
  • Collaborate closely with Analytics and other cross-functional partners to define business problems and develop analytical solutions through complex datasets.
  • Identify, acquire, curate, and leverage new data sources to address data gaps in an integrated manner.
  • Manage relationships with external vendors and consultants to frame business needs and enable effective analytics for launch tracking, market sizing, etc.
  • Proactively perform analyses in the areas of estimating revenue potential, market size, penetration, marketing practices and trends, and prepare forecasts and recommendations.

Basic Qualifications:

  • Minimum: BS/BA with business, finance or science concentration preferred
  • Graduate-level Degree is preferred
  • 6+ years of forecasting (including trending and uncertainty analysis), market research, or business analytics experience in retail
  • Experience with advanced spreadsheets, modeling software, reporting software, and database design
  • Experience with quantitative techniques including smoothing, regression, time series analysis, and simulation
  • Excellent oral, written and presentation skills—able to explain complex concepts clearly to a variety of audiences
  • Proven project management skills—able to manage multiple, simultaneous projects and data sources
  • Demonstrated analytical skills—understands the advantages and limits of different analytical approaches and studies and their findings
  • Strong client service and business orientation
  • Demonstrated ability to think strategically to support key business decisions
  • Ability to work collaboratively in team-based environment