Sales Operations and Analytics Leaders #MN245

Cummins•Shoreview, MN
•$153,670 - $176,400•Onsite

About The Position

Utilize advanced business analytics principles and practices to perform data integration and analytics strategy for risk assessment and scenario planning. Generate standard or customer reports summarizing business, financial, or economic data for review by executives, managers, clients, or other stakeholders. Partner with regional sales leaders using business analytics tools to improve the consistency and accuracy of sales manager-generated performance data and encourage systematic use of sales information, from regional readiness through adoption. Use Salesforce CRM to manage data, streamline processes, and improve business relationships. Provide input into sales operating strategies, including the pace of adoption of new intelligence tools and processes, emerging information needs, and willingness or resistance to changing current approaches. Manage special projects that improve regional data-based decision-making, from defining business problems and evaluating options to implementation and success tracking. Lead allocation and demand planning processes, integrating data from Oracle ERP, Oracle Fusion, and Demantra. Develop and automate sales and demand forecasts using Python, including pandas, statsmodels, and scikit-learn. Create business intelligence tools and systems, including related databases, spreadsheets, and outputs. Share information about tools, reports, and metadata enhancements, and synthesize business intelligence and trend data into recommendations. Identify patterns and trends in available information; deliver regional sales analyses, performance reports, and insights to sales teams, management, and regional leadership. Discover, model, analyze, measure, and improve business processes using business analytics standards, templates, tools, and methodologies. Apply predictive analytics to forecasting, scenario modeling, and assumptions. Conduct or coordinate tests to ensure intelligence meets defined needs, and establish or participate in working groups focused on improving data-based decision-making.

Requirements

  • Master’s degree in Business or Data Analytics, or a related field, and 3 years of experience as a Business Analyst, Operations or Sales Manager, or in a related position; alternatively, a bachelor’s degree in Business or Data Analytics, or a related field, and 5 years of such experience.
  • Experience with data integration and analytics strategy.
  • Experience with risk management and change management.
  • Experience with Salesforce CRM and sales operating strategies.
  • Experience with business process design.
  • Experience with Oracle ERP, Oracle Fusion, and Demantra.
  • Experience with Python, including pandas, statsmodels, and scikit-learn.
  • Experience with business analytics tools and methodologies.
  • Experience with predictive analytics for forecasting, scenario modeling, and assumptions.

Responsibilities

  • Perform data integration and analytics strategy for risk assessment and scenario planning.
  • Generate reports summarizing business, financial, or economic data for stakeholders.
  • Partner with regional sales leaders to improve the consistency and accuracy of sales performance data and its use.
  • Use Salesforce CRM to manage data, streamline processes, and improve business relationships.
  • Provide input into sales operating strategies, including adoption of intelligence tools, process changes, and emerging information needs.
  • Manage special projects that improve regional data-based decision-making, including problem definition, option evaluation, implementation, and success tracking.
  • Lead allocation and demand planning, integrating data from Oracle ERP, Oracle Fusion, and Demantra.
  • Develop and automate sales and demand forecasts using Python and associated libraries.
  • Create business intelligence tools and systems, including databases, spreadsheets, and outputs.
  • Disseminate information about tools, reports, and metadata enhancements, and recommend actions based on business intelligence and trend data.
  • Identify data patterns and trends and deliver regional sales analyses, performance reports, and insights.
  • Analyze and improve business processes using business analytics standards, templates, tools, and methodologies.
  • Use predictive analytics for forecasting, scenario modeling, and assumptions.
  • Conduct or coordinate tests to verify that intelligence meets defined needs.
  • Establish and participate in working groups to improve data-based decision-making capabilities.
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