Analytics Data Engineer III bei Indiana Health Information Exchange
Indiana Health Information Exchange · Indianapolis, Vereinigte Staaten Von Amerika · Hybrid
- Professional
- Optionales Büro in Indianapolis
Summary: The Analytics Data Engineer III plays a key role in executing the data roadmap and supporting data driven initiatives. This individual will be a subject matter expert for data availability, data standards, and data quality. The Analytics Data Engineer III will collaborate closely with cross-functional teams, including Solution Engineering, Product, and Business stakeholders, to advise how data supports the needs of our organization.
This is a hybrid position based in Indianapolis, Indiana, with a blend of in-office and remote work.
Job Function Risk Level 3: Privileged user access with intentional access to PHI and sensitive data
Essential Functions:
- Collaborate with cross-functional teams to understand business requirements and recommend data solutions that address key challenges and opportunities.
- Develop data quality pipelines with validation rules and reporting.
- Utilize advanced analytics techniques and tools to analyze large datasets, identify trends, patterns, and correlations, and derive actionable insights.
- Identify data quality issues and collaborate with cross-functional teams to remediate.
- Develop interactive dashboards, visualizations, and reports to communicate findings and insights effectively to stakeholders at all levels of the organization.
- Directly engage or oversee data projects with customers or partners, including, but not limited to, data onboarding, data exports, reports, dashboards, and visualizations.
- Provide data expertise and guidance, as needed, for new business development opportunities.
Requirements:
- Adaptability and flexibility in a rapidly changing environment
- Self-starter and self-motivated
- Ambitious spirit – brings fresh ideas to the table and finds creative solutions to problems
- Positive attitude with outstanding communication and listening skills
- Bachelor’s or advanced degree in computer science, engineering, analytics, or a related field
- Proven experience (5+ years) in analytics engineering and data quality functions
- Strong proficiency in writing advanced SQL statements and PL/SQL.
- Demonstrated experience with visualization tools (Tableau or similar) and reporting tools
- Excellent analytical, problem-solving, and critical-thinking skills, with a keen attention to detail and a commitment to delivering high-quality results
- Strong communication and collaboration skills, with the ability to effectively communicate technical concepts and insights to both technical and non-technical stakeholders
- Self-motivated, proactive, and adaptable, with a passion for learning and staying abreast of the latest developments in data analytics and technology
- Prior experience working with healthcare data
- Familiarity with HL7, C-CDA, FHIR, USCDI, and other healthcare formats and standards.
- Familiarity with clinical terminologies and ontologies like LOINC, ICD-10-CM/PCS, SNOMED-CT, RxNorm, etc.
- Ability to read and understand as variety of programming languages (Java, JavaScript, Python, etc.)