Job Summary: 

• Create and implement a centralized platform for integrating all current data platforms including Netsmart (EMR), Playmaker (CRM), Cell Trak (Aide Visits capture), pharmacy, medical supplies and financial systems
• Research and develop statistical learning models for data analyses
• Collaborate with operational and administrative departments to understand company needs and devise possible insights
• Communicate results and ideas to key decision-makers in clear formats
• Implement new statistical or other mathematical methodologies for specific models or analyses
• Mine and analyze data from multiple databases
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Develop company A/B testing frameworks and tools to test model quality and accuracy
• Ensure delivery of the AI/ML/Data Science related features seamlessly as part of the core product
• Work closely with a remote team of analysts to develop and improve query tools and data exploration.

Skills on Resume: 

• Data Integration (Hard Skills)
• Statistical Modeling (Hard Skills)
• Data Analysis (Hard Skills)
• Communication Skills (Soft Skills)
• Predictive Analytics (Hard Skills)
• A/B Testing Frameworks (Hard Skills)
• AI/ML Implementation (Hard Skills)
• Remote Collaboration (Soft Skills)

Job Summary: 

• Deliver deep insights with the appropriate analytics methodologies and techniques to help departments meet business objectives
• Conduct analysis and build analytic models that improve policy targeting, optimize decisions and inject predictive intelligence into business decisions
• Work on the end-to-end analytics solution from requirements gathering to user testing to deployment
• Interpret technical statistical results and communicate insights through storytelling
• Maintain and enhance data warehouse/data marts to ensure continuing relevance to business users
• Mentor junior team members in problem-solving and identifying the right AI/ML technologies
• Build insightful quantitative materials to identify trends and deliver critical insights.
• Apply advanced mathematical, statistical and machine learning algorithms on large datasets to create actionable insights and develop new data products.
• Analyze structured datasets to find opportunities and effectively influence decisions.
• Work with stakeholders to analyze and interpret data related to software development, and work with data pipeline engineering team for productionizing new analytics for reporting and dashboards.
• Handle crude data using the latest technologies and techniques, perform the necessary analysis, and present the acquired knowledge to associates in an informative way

Skills on Resume: 

• Analytics Methodologies (Hard Skills)
• Predictive Intelligence (Hard Skills)
• End-to-End Analytics Solutions (Hard Skills)
• Data Storytelling (Soft Skills)
• Data Warehouse Management (Hard Skills)
• Mentorship Skills (Soft Skills)
• Quantitative Analysis (Hard Skills)
• Data Pipeline Collaboration (Hard Skills)

Job Summary: 

• Apply expertise in quantitative analysis, data mining, and data communication to transform numbers into compelling insights and stories that create business value and drive decisions.  
• Contribute to designing data initiatives that support understanding user behaviors, and long-term trends and/or move key metrics, in the field of marketing analytics, CLM/CRM analytics and/or risk analytics 
• Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis. 
• Design, run and evaluate data-driven experiments in live environments that intend to optimize internal processes. 
• Communicate results and insights via engaging presentations. 
• Prepare and facilitate data-related workshops. 
• Manage stakeholders and communicate with executives. 
• Take responsibility for coaching and mentoring team members. 
• Using predictive/prescriptive modeling to increase and optimize customer experiences and other business outcomes
• Be involved in codifying best analytics expertise into a centralized library and methodology, and delivering that library to clients.
• Create innovative approaches to answer clients’ most relevant questions around commercial topics and ensure that these approaches are codified and can be reused. 

Skills on Resume: 

• Quantitative Analysis (Hard Skills)
• Marketing Analytics (Hard Skills)
• Problem Solving (Soft Skills)
• Data-Driven Experiments (Hard Skills)
• Engaging Presentations (Soft Skills)
• Stakeholder Management (Soft Skills)
• Coaching and Mentoring (Soft Skills)
• Predictive Modeling (Hard Skills)

Job Summary: 

• Leading and executing technical activities within own responsibility area globally.
• Analyzing large amounts of information to discover trends and patterns
• Developing software and has specialized knowledge of big data analytics tools and methods
• Focusing on a variety of deep data analytics and modeling problems within Marketing, Sales, and Product and Price Management.
• Develop and deploy analytics experiments from top to bottom within broadly defined parameters.
• Building key data sets to empower operational and exploratory analysis.
• Proposing what to build in the next roadmap.
• Communicating experiment results and influencing business leaders through the presentation of data-based recommendations.
• Act as an analytics translator and as an owner of advanced pieces of analytics code. 
• Be exposed to new cutting-edge technologies and solve complex data processing problems to help bring the latest tools/platforms into practice. 
• Help build teams by collaborating with others across the practice and beyond as well as mentoring younger tenured colleagues.

Skills on Resume: 

• Technical Leadership (Soft Skills)
• Data Analysis (Hard Skills)
• Big Data Analytics (Hard Skills)
• Deep Data Modeling (Hard Skills)
• Experiment Development (Hard Skills)
• Data Set Creation (Hard Skills)
• Data Presentation (Soft Skills)
• Team Collaboration (Soft Skills)