Senior Data Visualizations Analyst

Summary

The Senior Data Visualization Analyst will seamlessly mesh tech know-how with business acumen to help navigate Contexture’s data and visualization needs, including application design, development, enhancements, maintenance, support, and planning. This position will require experience in visualization solutioning for large healthcare datasets, with a firm grasp of HIE platforms, applications, and product offerings. You will help connect the dots and evolve visualization strategy by keeping an eye on developments that can support our cloud expansion and help in implementing the same.

Qualifications

• Advanced knowledge of analytics and statistical software such as SQL, R, Python, Excel, and others to perform analysis and interpret data.
• Experience in analytics, advanced analytics/statistics, predictive modeling.
• Hands-on experience with healthcare data code sets and terminologies.
• Experience driving at least one major BI application implementation for an organization larger than 500 users (Healthcare experience is a plus).
• Demonstrated ability to handle multiple priorities and work collaboratively across functions and teams.
• Strong understanding of Agile and Waterfall disciplines.
• Experience working with relational and/or hierarchical, big data databases such as Mongo and SQL.
• Experience working with HL7, LOINC, SNOMED, ICD, RxNorm, or similar healthcare data transmission and normalization modalities.
• Knowledge of medical claims data formats like CCLS, 835, 834, etc.
• Proficient in solutions design and requirements definition disciplines leveraging model driven design-based tools and techniques including conceptual solution component models, business process models, use cases, etc.
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors.
• Excellent analytical, decision-making, problem-solving, team and time management skills.
• Demonstrated ability to persuade and influence others on the best approach to take using solid data principles and tools.
• Ability to estimate work effort for project sub-plans or small projects and ensure the project is successfully completed.
• Positive outlook, strong work ethic and responsive to internal and external customers and contacts.
• Proficient with technology needed for remote and office work, including email, video calls, and Microsoft Office products.

Skills

• Advanced knowledge of analytics and statistical software such as SQL, R, Python, Excel, and others to perform analysis and interpret data.
• Experience in analytics, advanced analytics/statistics, predictive modeling.
• Hands-on experience with healthcare data code sets and terminologies.
• Experience driving at least one major BI application implementation for an organization larger than 500 users (Healthcare experience is a plus).
• Demonstrated ability to handle multiple priorities and work collaboratively across functions and teams.
• Strong understanding of Agile and Waterfall disciplines.
• Experience working with relational and/or hierarchical, big data databases such as Mongo and SQL.
• Experience working with HL7, LOINC, SNOMED, ICD, RxNorm, or similar healthcare data transmission and normalization modalities.
• Knowledge of medical claims data formats like CCLS, 835, 834, etc.
• Proficient in solutions design and requirements definition disciplines leveraging model driven design-based tools and techniques including conceptual solution component models, business process models, use cases, etc.
• Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors.
• Excellent analytical, decision-making, problem-solving, team and time management skills.
• Demonstrated ability to persuade and influence others on the best approach to take using solid data principles and tools.
• Ability to estimate work effort for project sub-plans or small projects and ensure the project is successfully completed.
• Positive outlook, strong work ethic and responsive to internal and external customers and contacts.
• Proficient with technology needed for remote and office work, including email, video calls, and Microsoft Office products.