Data Analyst Position Description

• Provide data analysis and model development support for the development of Pareto’s software solutions (in collaboration with product managers, business analysts, data scientists and consultants)
• Support Pareto’s consulting and advisory engagements through ad-hoc data analysis supports, including defining data needs, ensuring data quality, developing analytical frameworks and execution
• Collaborate with various business and technical teams, including consultants, product management, and technical developers
• Continually develop and further Pareto’s analytical, quantitative and modeling skills, capabilities and offerings
• Support the identification, research and development processes required to obtain, analyze and incorporate new data assets and tools into Pareto’s capabilities
• Ensure the security, confidentiality, availability, and integrity of client information
• Combine business and technical concepts and skills in a role that is 75% technical and 25% business project or client project-specific

Basic Qualifications

• Bachelor’s Degree in a quantitative field of study (e.g. Mathematics, Economics, Statistics, Finance, Computer Science)
• Interest in developing data and analytical proficiency
• Ability to handle multiple competing priorities
• Ability to communicate effectively with business and technical team-members

Preferred Skills

• 3-4 years of experience working in a quantitative capacity
• Experience with SQL
• Exposure to SAS, R, and/or Python
• Experience working with large datasets
• Health care industry experience preferred but not required
• Practical ability to visualize data and communicate analysis findings

Professional Skill Requirements

• Complex Problem Solving - Ability to identify and solve problems by reviewing related information, evaluating options, and implementing solutions
• Critical Thinking - Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
• Deductive Reasoning – Ability to apply general rules to specific problems to produce answers that make sense
• Inductive Reasoning – Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events)
• Quantitative and Analytical Skills - Ability to apply quantitative and statistical analysis techniques to unstructured problems
• Effective Communication Skills – Ability to clearly and concisely communicate information and ideas orally and in writing

ATTRIBUTES

• Positive, flexible and self-motivated attitude, along with the ability to work as a collaborative team player
• Excellent attention to detail, accuracy and follow up
• Ability to set priorities and work on multiple tasks simultaneously
• Excellent oral and written communication skills

Successful candidate must be willing and able to travel, when necessary.  Estimated travel is less than 5% of the time.