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Business Intelligence Analyst

Job Description

Using statistical and algorithmic analysis and data mining, the Business Intelligence Analyst at Jamf is responsible for modeling business problems, calculating key performance indicators (KPIs) and identifying business insights. In addition to advanced analytics skills, this role is key to integrating and preparing large, varied datasets, and communicating results.

Location: Minneapolis, MN
Travel: Less than 10%
Education: Bachelor's degree required
Manager: Director, Sales Operations

Responsibilities

  • Ideate, Create, Maintain, and organize a set of standard operational reporting services, metrics, leading and lagging indicators, and dashboards using excel, Salesforce.com, and business insight tools used by the organization
  • Run various statistical analysis on the data collected from different sources to derive business insights and evaluate business risks.
  • Interact with sales reps, sales leadership, and others to provide understanding of the data outputs
  • Manage core reporting for tracking and forecasting sales quota attainment
  • Compile and submit weekly and monthly reporting packages
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Communicate results and ideas to key decision makers to drive actionable measures (i.e., identify the ‘story within the story’
  • Performs all job responsibilities in alignment with the core values, mission and purpose of the organization
  • Adheres to the highest moral, ethical and legal standards to deliver an environment that promotes respect, innovation and creativity
  • Supports and promotes a positive, inclusive workplace one in which the talents and strengths of our increasingly diverse workforce are welcomed, further developed and manifested in our work

Qualifications

  • 4 year / Bachelor's Degree in Bachelor’s degree in Applied Statistics/Mathematics, Data or Computer Science (Required)
  • Graduate / Master's Degree (Preferred)
  • 5 -7 Years of professional experience statistical methods and analysis and predictive modeling (Required)
  • 3 - 5 Years of experience in data mining using databases in an environment with complex data sets (Preferred)
  • 2 – 4 Years of experience with one or more data mining/ modeling tools: R, Python, MySQL, salesforce.com, data visualization tools in a software organization (Required)

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