Analytics Consultant

This role will focus on two primary competencies: data management and insights delivery.

Data Management:
• Collaborate with internal partners to ensure the integrity, security, scalability, and quality of our data products.
• Contribute to the ongoing design and development of the data pipelines and design of the reporting layers that serve as a source of truth to Evernorth Sales data for the organization.
• Write efficient SQL and Python code in a collaborative team environment
• Ensure data is shared securely and legally by being an expert on the internal firewall policies and business sensitivities and implementing those rules into our data sharing patterns.
• Contribute to design, implementation, and maintenance of CI/CD pipeline

Insights Delivery:
• Analyze complex datasets to uncover meaningful insights and trends.
• Develop, present, and maintain interactive and intuitive Tableau dashboard reporting suites for individual contributors and executives within the organization.
• Develop end user applications with Alteryx
• Work with activation team to present insights to stakeholders and ensure the expected value of the work is being delivered.

Qualifications and Competencies
• Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field.
• Proven experience working on a data management team, including writing SQL and Python code in a collaborative environment (Git/Github)
• Strong understanding of data governance, quality, and DRY coding practices.
• Proficiency in Tableau or other similar data visualization software.
• Experience with Alteryx as an application and integration tool (e.g. building interactive applications for end users on a server using APIs to interact with different technologies)
• Familiarity with CI/CD processes and tools.
• Strong communications skills with ability to present complex data insights effectively.
• Thrives in a fast pace environment and demonstrates ability to quickly learn and adapt to frequent changes in business requirements.
• Demonstrated ability to simplify complex data sets and distill actionable insights from the data.
• A self-starter: demonstrated ability to take accountability for assigned tasks end-to-end (for example, willing to independently explore a business need/challenge, design/present solution, develop, deliver insights, measure impact and value).
• Demonstrated ability to manage multiple tasks and effectively collaborate and prioritize needs.
• Strong work ethic and a high drive and focus: demonstrated optimism and determination when facing challenges; ability to learn new processes