SUMMARY OF PURPOSE:

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives.

ESSENTIAL FUNCTIONS:

Data Engineering & Integration

Design, develop, and maintain ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources.
Build and optimize data pipelines to ensure data quality, reliability, and performance.
Develop and maintain enterprise data models, data warehouses, and data marts.
Monitor and troubleshoot data workflows and resolve data-related issues.

Analytics & Reporting

Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools.
Translate business requirements into scalable analytical solutions.
Develop KPIs, metrics, and reporting frameworks to measure business performance.
Support ad hoc data analysis and reporting requests.

Data Governance & Quality

Implement data quality controls and validation processes.
Ensure compliance with organizational data governance policies and security standards.
Maintain data dictionaries, metadata, and documentation.
Promote best practices for data management and analytics.

Collaboration & Business Partnership

Partner with business stakeholders to understand reporting and analytical needs.
Work closely with application teams and business process owners to improve data accessibility and usability.
Provide technical guidance and mentoring to analysts and other team members.
Present analytical findings and recommendations to leadership.

POSITION REQUIREMENTS - REQUIRED QUALIFICATIONS:

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.
3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles.
Strong SQL development and database management skills.
Experience with data warehouse technologies and cloud data platforms.
Proficiency in Python, SQL, or other data processing languages.
Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms.
Knowledge of ETL/ELT frameworks and data integration methodologies.

PREFERRED QUALIFICATIONS:

Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.
Understanding of data governance and master data management practices.
Experience working in Agile environments.
Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies.

KEY COMPETENCIES:

Analytical thinking and problem-solving
Data modeling and architecture
Stakeholder communication
Process improvement
Attention to detail
Project management and prioritization
Collaboration and teamwork

SUCCESS MEASURES:

Delivery of reliable and scalable analytics solutions.
Improvement in data quality and reporting accuracy.
Reduction in manual reporting efforts.
Increased adoption of self-service analytics capabilities.
Timely delivery of data and analytics initiatives aligned with business goals.

PHI ACCESS:

This position requires access to PHI due to reporting and data content

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