Senior Manager, Analytics

Company Description

At Adtalem Global Education, we seek to empower students and members to achieve their goals, find success and make inspiring contributions to our global community. Adtalem is a leading healthcare educator that partners with organizations to proactively address future workforce needs and empowers career development with access to world-class academic curriculums, certifications and training programs across the medical and healthcare industries.

Adtalem institutions and companies include: American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine, and Walden University. (NYSE: ATGE; member S&P MidCap 400 Index) For more information, please visit adtalem.com.

Job Description

• Identify analytic needs and requirements of the institutions by working closely with senior management; projects may include: root cause/regression analyses; benchmarking and best practice identification; financial and business impact of key initiatives and new ideas and external market analyses
• Work within cross-functional and cross-institution project teams to solve business problems.
• Assist the organization and’s institutions by providing reliable, relevant, and quality data and information to facilitate planning, budgeting, marketing & outreach analyses, accountability, program evaluation, and development of policy decisions
• Work to enhance effective data and information flow between the institutions
• Work with outside consultants including participation in the selection process and serving as an internal project team member
• Translate analytic findings into simple, actionable, and practical solutions and recommendations
• Synthesize recommendations into management-ready presentations with recommended actions
• Completes other duties as assigned.

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Qualifications

• MBA  or advanced degree (in an area such as Operations, Econometrics, or Statistics) and management consulting/professional service experience are desirable.
• Minimum of six (6) to eight (8) years of work experience with at least three (3) years in any of the following areas:
• Marketing or management consulting
• Database marketing:
  • - Analytics
  • - Marketing analysis or research
  • - Financial analysis
  • - Statistical modeling and analysis
• Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation).
• Experience with reporting and visualization tools (e.g., Cognos BI, Tableau), advanced Excel functions and modeling, statistical and predictive analytics software (e.g. SPSS, R, SAS), and Hadoop or Python platforms desirable.
• Ability to process ambiguous and/or seemingly conflicting data or information to create “one version of the truth.”.
  Ability to work in a dynamic and cross-functional environment, where multiple conflicting objectives need to be prioritized and achieved.
• Superior written and verbal communication skills including influencing and consensus building.

 

Additional Information

In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $93596.21 and $169021.85. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits.

Adtalem offers a robust suite of benefits including:

 

 

• Health, dental, vision, life and disability insurance
• 401k Retirement Program + 6% employer match
• Participation in Adtalem’s Flexible Time Off (FTO) Policy
• 12 Paid Holidays
  
  For more information related to our benefits please visit: hhttps://careers.adtalem.com/benefits.
  
  You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, indi