IT Business Analyst (In-Person)

PURPOSE: To work as part of the MOA Analytics team on a wide range of analytics-based challenges. This includes numerous disciplines from data science and data analytics, including descriptive analytics, visualization, data modeling and database design, supervised and unsupervised learning, and other types of advanced analytics.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Research, scope, and implement analytics-based solutions to business problems in an efficient manner.
• Work independently, using the appropriate mix of analytics tools and techniques, on a wide range of data applications, including, but not limited to:
  
  
  
  • Clean, validate, model, and transform data.
  • Create and maintain descriptive reports, visualizations, and ad-hoc analysis.
  • Develop supervised and unsupervised learning models.
  • Statistical testing and advanced topics.
  
  
  
  

• Collaborate with business users to understand company needs and devise data-driven solutions and efficiencies.
• Communicate results and recommendations clearly and concisely to business partners and senior management in a timely fashion.

• Regular, reliable, and consistent attendance.
• Additional duties as assigned.

PREFERRED SKILLS, KNOWLEDGE, AND ABILITIES:

• Undergraduate degree in Business Analytics, Data Science, or related field. Master's degree in Business Analytics, Data Science, or related field, or equivalent experience, is a plus.
• Minimum of 2 years' experience with and demonstrable knowledge of BI software such as Power BI (preferred) or Tableau.
• Minimum of 2 years' experience with and demonstrable knowledge of a SQL-based language, such as Microsoft T-SQL (preferred), MySQL, etc.
• Familiarity with and demonstrable knowledge of data analytics programming languages such as R or Python.
• Able to understand various data structures and common methods in data transformation.
• Experience with statistical techniques and concepts, such as distributions, statistical testing, regression, etc.
• Understanding of machine learning techniques and algorithms, such as k-NN, SVM, Ensemble Modeling, etc.

• Capacity to work in a fast-paced, rapidly changing environment and the ability to multi-task on a regular basis.
• Strong organizational and communication skills.
• Competencies include collaboration skills, project management, and problem solving/analysis skills.

PHYSICAL JOB REQUIREMENTS:

• Sitting, frequently, 80% of time.
• Stand and move, occasionally, 20% of time.
• Perform repetitive motion (using keyboard), frequently, 90% of time.
• Kneel and bend, infrequently, 5% of time.
• Reach at or above shoulder level, infrequently, 5% of time.
• Reach at or below shoulder level, infrequently, 10% of time.
• Lifting/carry up to 10 pounds, infrequently, 5% of time.
• Lift/Carry up to 40 lbs., infrequently, 5% of time.
• Stoop/Squat, infrequently, 10% of time.