Data Analyst at Southern Orthodontic Partners

Nashville, Tennessee, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL Development, Data Transformation, ETL, Python, Azure Data Factory, API Integration, Problem-Solving, Data Quality, Analytical Skills, Communication Skills, Attention to Detail, Databricks, Power BI, Tableau

Industry

Hospitals and Health Care

Description

Description Southern Orthodontic Partners is a fast paced, entrepreneurial organization offering a premier network of orthodontic care. We provide business management expertise to our partner practices, enabling orthodontic professionals to focus on delivering the best possible care to their patients. Our partner practices benefit from our centralized support system, operational best practices, recruiting network, and marketing expertise. Our mission is to positively impact the orthodontic profession through a partnership of clinical and service excellence with the country’s leading doctors. At Southern Orthodontic Partners we heavily rely on our data from our practices to not only track progress toward operational objectives, but to also provide insight to allow for strategic and timely decisions related to the operations of the business. We are seeking a skilled Data Analyst with strong SQL development capabilities and hands-on experience in data engineering workflows. This role combines analytical expertise with technical proficiency in data transformation, pipeline management, and business intelligence tools. The ideal candidate will bridge the gap between data engineering and analytics, ensuring reliable data flows while delivering actionable insights. You will be: Build and maintain data pipelines using Azure Data Factory, Python, and other ETL tools Monitor data ingestion processes and troubleshoot issues proactively to ensure data availability Design, develop, and optimize SQL queries to extract, transform, and analyze large datasets Perform ad hoc analysis to support business questions and operational needs Collaborate with data engineers and business stakeholders to understand requirements and deliver solutions Document data workflows, transformations, and troubleshooting procedures Ensure data quality through validation, testing, and monitoring procedures Create visualizations and reports using Power BI, Tableau, or similar tools Support data warehouse development and maintenance as needed. Requirements Technical Skills: SQL Development: Intermediate to advanced proficiency in SQL for complex querying, performance optimization, and database management Data Transformation & ETL: Hands-on experience managing data load and transformation processes using: Python for data manipulation and scripting Azure Data Factory for orchestrating data pipelines Other industry-standard ETL/ELT tools and frameworks API Integration: Practical experience working with REST APIs, including: Consuming data from external APIs using authentication methods (OAuth, API keys, tokens) Pushing data to external systems via API endpoints Handling API pagination, rate limiting, and error responses Building automated data workflows that leverage APIs for data ingestion and distribution Problem-Solving: Demonstrated ability to perform ad hoc querying and troubleshoot data ingestion issues with minimal guidance Data Quality: Experience validating data integrity and implementing error handling procedures Core Competencies: Strong analytical and problem-solving mindset Ability to work independently on technical troubleshooting Effective communication skills for documenting processes and collaborating with stakeholders Attention to detail in data validation and quality assurance Preferred Job Skills: Highly Desired: Experience with Databricks for big data processing and analytics Proficiency in Azure Data Factory for cloud-based data integration Business intelligence expertise using Power BI and/or Tableau for visualization and reporting

Responsibilities

The Data Analyst will build and maintain data pipelines, monitor data ingestion processes, and perform ad hoc analysis to support business needs. They will collaborate with data engineers and stakeholders to ensure reliable data flows and deliver actionable insights.