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Data Analyst (Remote Opportunity)

VetsEZ is looking for a full-time Data Analyst to join our highly talented data management team. You will work across our client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining, and data modeling. You will be responsible for inspecting, cleansing, transforming, and modeling data and will address issues related to data completeness and quality, as well as contribute to and produce technical and data process documentation.

Responsibilities:
  • Prepare and conduct analyses and studies, needs assessment, and requirements analysis to align systems and solutions.
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Apply analytical methodologies and principles to meet client needs.
  • Prepare forecast and analyze trends, develop and analyze metrics, and prepares reports and recommendations related to management.
  • You will also be responsible for focusing on business performance, project analysis, internal control, risk assessment, and support of project objectives.

Requirements:
  • B.S. or M.S. in a quantitative field such as Computer Science, Statistics, or Mathematics
  • Minimum 2-5 year of recent professional experience in data science, data mining, data mapping, data profiling, and data analysis
  • Experience working in an Agile Team setting and using Agile management tools such as Jira
  • Prior experience working with Healthcare data, or in the Healthcare field
  • Ability to conduct data profiling and predictive analysis using a variety of standard tools
  • Programming proficiency in a subset of Python
  • Experience with data visualization tools and methodologies
  • Ability to communicate concisely and effectively with software engineers and clients

Additional Qualifications:
  • Exposure to Amazon Web Services (AWS) and cloud-based systems
  • Prior experience with metadata management to include meta-tagging
  • Experience with machine learning, natural language, and statistical analysis methods to include classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
Benefits:
  • Medical/Dental/Vision
  • 401k with Employer Matching
  • Corporate Laptop
  • PTO + Federal Holidays
  • Training and Mentorship opportunities

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.