Data Analytics Engineer

HealthTronics, Inc.; Austin, Northern (TX, KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

HealthTronics, Inc. in Austin, TX, is seeking a Data Analytics Engineer to design, build, and maintain scalable data pipelines, analytics platforms, and reporting solutions that drive data-informed decisions.

This role blends data engineering with business intelligence, transforming raw data into trusted insights. Collaborate with stakeholders, IT teams, and leadership to deliver dashboards, KPIs, data models, and governance practices that improve data quality and analytics adoption.

Qualifications

• Bachelor's degree in CS/IS/data analytics/engineering/math or related field.
• 3+ years in data engineering, analytics engineering, or BI roles.
• Strong SQL development and database management skills.
• Experience with data warehouses and cloud data platforms.
• Proficiency in Python and SQL; experience with BI tools like Sigma or Tableau.

Responsibilities

• Design, build, and maintain ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources.
• Develop dashboards and reports using modern BI tools and translate business requirements into scalable solutions.
• Develop KPIs, metrics, and reporting frameworks to measure business performance.
• Collaborate with stakeholders to understand reporting needs and ensure data quality and governance.

Skills

SQL development

Data modeling

Stakeholder communication

Python

Data governance

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field

Tools

Sigma

Tableau

Azure Data Factory

Microsoft Fabric

Synapse Analytics

Databricks

Snowflake

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Regular Technical Austin, TX, US

2 days ago Requisition ID: 2314

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:

• 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
• Project management and prioritization
• Collaboration and teamwork

SUCCESS MEASURES:

• Delivery of reliable and scalable analytics solutions.
• Improvement in data quality and reporting accuracy.
• 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