Sales Operations and Analytics Leaders #MN245

Cummins•Shoreview, MN

6d•Onsite

About The Position

Utilize advanced business analytics principles and practices to integrate data and develop analytics strategies for risk assessment and scenario planning. Generate standard or customer reports summarizing business, financial, or economic data for executives, managers, clients, and other stakeholders. Partner with regional sales leaders using business analytics tools to improve the consistency and accuracy of sales performance data and the adoption and systematic use of sales information. Use Salesforce CRM to manage data, streamline processes, and improve business relationships. Provide input into Sales Operating strategies, including adoption of new intelligence tools and processes, emerging information needs, and readiness to change existing approaches to sales data. Manage special projects that improve regional data-based decision-making, from defining business problems and evaluating options through implementation and outcome tracking. Lead allocation and demand planning, integrating Oracle ERP, Oracle Fusion, and Demantra data. 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 data patterns and trends, and provide regional sales analyses, performance reports, and insights to sales teams and leadership. Discover, model, analyze, measure, and improve business processes using analytics standards, templates, tools, and methodologies. Apply predictive analytics to forecasting, scenario modeling, and assumptions; coordinate tests to ensure intelligence meets defined needs; and participate in working groups that improve data-based decision-making.

Requirements

A 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.
Experience with Sales Operating strategies and 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 using predictive analytics for forecasting, scenario modeling, and assumptions.

Responsibilities

Integrate data and develop analytics strategies for risk assessment and scenario planning.
Generate business, financial, and economic reports for executives, managers, clients, and other stakeholders.
Partner with regional sales leaders to improve the consistency and accuracy of sales performance data and the adoption and systematic use of sales information.
Use Salesforce CRM to manage data, streamline processes, and improve business relationships.
Provide input into Sales Operating strategies, including adoption of new tools and processes and emerging information needs.
Manage special projects to improve regional data-based decision-making, including problem definition, option evaluation, implementation, and success tracking.
Lead allocation and demand planning processes using 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.
Disseminate information about tools, reports, and metadata enhancements, and provide recommendations based on business intelligence and trend data.
Identify data patterns and trends and deliver regional sales analyses, performance reports, and insights to sales teams and leadership.
Discover, model, analyze, measure, and improve business processes using 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 participate in working groups focused on improving data-based decision-making.