Analytics Engineer

• Model leadership traits and customer service behaviors, through interactions with both internal and external customers, partners and suppliers.
• Manage a cross-functional group of intelligence analysts, solution architects and program managers around the best practices for the organization, involving analytics, reporting, data integrity and clinical/business problem solving.
• Define measurement criteria for organizational goals and objectives, tied to the NAH Vision and Balanced Scorecard, with cascading process -level metrics and leading indicators.
• Develop strong technical competencies related to data management principles; including engineering, data governance, and platform services that support the Business Intelligence teams.
• Effectively manage team performance and expectations to support our business teams.
• Build and maintain an effective team to support the core functions of data management.
• Partner with Information Technology on aligning the needs for the Business Intelligence technology ecosystem with the overall technology roadmap.
• Accountable for driving the reference architecture, platform(s), and associated tools required to drive the data vision for Business Intelligence.
• Accountable for ensuring that data governance rigor is enforced and managed effectively.
• Custodian for the data quality of all Business Intelligence data assets used for decisioning.
• Lead a team of solution architects, consultants and key partners in the delivery of pragmatic solutions, aligned to strategic program roadmaps.
• Accountability for ensuring that current and proposed data management tools and platform support the overall vision of NAH's data strategy and conform to governance requirements.
• Technical thought leaders and member of the data governance technology council.
• Demonstrate excellent communication and interpersonal skills while managing a diverse set of executive, business and clinical stakeholder's interests - translating business desires for functionality into technical plans, and technical constraints into business realities.
• Serve as an enterprise resource for education surrounding data management, analytics and key quality and regulatory requirements.
• Govern day-to-day fulfillment of data/report requests, including the management of escalations relating to data integrity and request fulfillment.
• Facilitate sessions with technical and business partners to ensure that our data products and services align with expected results.
• Champion data stewardship by working with data source owners and subject matter experts to regularly validate the completeness and accuracy of data.
• Assists with the advancement of Data and Analytics education throughout the organization.
• Responsible for reporting any safety-related incident in a timely fashion through the Midas/RDE tool; attends all safety-related training programs; performs work in a safe manner; monitors work environment for possible safety issues and ensures others are also performing work in a safe manner.
• Stays current and complies with state and federal regulations/statutes and company policies that impact the employee's area of responsibility.
• If required for the position, ensures all certifications and/or licenses are up-to-date and valid prior to expiration dates.
• Completes all company mandatory modules and required job-specific training in the specified time frame.

Data Analytics Engineering Manager

Analytics Developer

Staff Analytics Engineer

Analytics Engineer

Senior Analytics Engineer

Senior Analytics Engineer – Finance