Analytics Engineer

Navitus Health Solutions is seeking an Analytics Engineer to join our team!

The Analytics Engineer ensures efforts are in alignment with the Analytics team to support customer-focused objectives and the IT Vision, a collaborative partner delivering innovative ideas, solutions and services to simplify people's lives. The Analytics Engineer will help define and grow our data centric architecture. The Analytics Engineer is responsible for implementing data ingestion, validation, and transformation pipelines. The Analytics Engineer will design and maintain batch and streaming integrations across a variety of data domains and platforms. The Analytics Engineer will be responsible for designing streaming capabilities for the internal and external movement of data to support our clients' needs. The Analytics Engineer will align our data structures, designs, and capabilities with the needs of the organization and in support of our strategic direction. The ideal candidate is experienced in Domain driven development and event driven architecture with real time data transformations. Additionally, the ideal candidate is passionate about partnering with business stakeholders to translate data into actionable insights that drive decision-making. This role blends technical data pipeline development with a strong understanding of analytical workflows, enabling seamless collaboration between data infrastructure and business strategy. This would be a Hybrid position located out of our Madison Office.

Is this you? Find out more below!

How do I make an impact on my team?

Work with stakeholders to design and develop data ingest, validation, and transform pipelines
• Lead the effort for design, development and implementation on a project-by-project basis to deliver solutions which are easily maintainable and scalable
• Participate in data strategy and road map planning, data architecture definitions, centralized data platform design, and implementation
• Develop and maintain user manuals and guidelines
• Assist in the development and maintenance of a data catalog
• Ability to diagnose and troubleshoot data issues, recognizing common data integration and transformation patterns
• Maintain enterprise metadata so that it can be reported and leveraged for re-use
• Define and maintain standards for data object naming and other data administration standards
• Design and manage conceptual, logical, and physical data models, including versioning and governance
• Utilizes one or more of the following: Oracle, MS SQL, Informatica, Automic, .NET Core, Microservices Architecture, Event Driven Architecture, Confluent/Kafka, Application Program Interface (API), and Qlik Replicate (CDC)
• Other duties as assigned

What our team expects from you?

• College degree or equivalent experience required in the field of computer science, information systems or software engineering and/or a minimum of 5+ years of professional experience
• Excellent understanding of coding methods and best practices
• Proven experience collaborating with business teams to analyze business requirements and develop technical specifications
• Proven experience designing complex data flows with end-to-end automation of complex requirements
• Proven experience with streaming platforms such as Kafka
• Proven experience developing test cases and test plans
• Demonstrated understanding of Software Development Life Cycle
• Experience with relational databases
• Background with unit and integration testing basics
• Fundamental knowledge of distributed data processing and storage
• Fundamental knowledge of working with structured, unstructured, and semi structured data.
• Fundamental knowledge of API frameworks
• Knowledge of healthcare industry practices, HIPAA, and applicable data privacy practices preferred
• Experience developing data exchange pipelines using HL7 FHIR, SOA, XML / JSON, and REST API would be a plus
• Experience with NoSQL such as MongoDB is desired

• Experience in developing Business Intelligence solutions is desired.

• Proficient in developing scalable analytics solutions using AWS services, with a focus on automation and performance optimization. Skilled in applying DevOps principles and Infrastructure as Code (IaC) to streamline deployment, enhance reliability, and accelerate delivery of data products.

• Fundamental knowledge of AI and Data Science principles.

• Participate in, adhere to, and support compliance program objectives
• The ability to consistently interact cooperatively and respectfully with other employees

What can you expect from Navitus?

• Top of the industry benefits for Health, Dental, and Vision insurance

• 20 days paid time off

• 4 weeks paid parental leave

• 9 paid holidays

• 401K company match of up to 5% - No vesting requirement

• Adoption Assistance Program

• Flexible Spending Account

• Educational Assistance Plan and Professional Membership assistance

• Referral Bonus Program - up to $750!

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