ZipRecruiter

Log In

2

Remote Data Optimization Jobs in Tennessee (NOW HIRING)

next page

Showing results 1-20

All JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Tennessee

Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

What are the key skills and qualifications needed to thrive as a Remote Data Optimization Specialist, and why are they important?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Tennessee? The most popular types of Data Optimization jobs in Tennessee are:
What are popular job titles related to Remote Data Optimization jobs in Tennessee? For Remote Data Optimization jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Tennessee look for? The top searched job categories for Remote Data Optimization jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Optimization jobs? Cities in Tennessee with the most Remote Data Optimization job openings:
Remote Data Optimization jobs near you
Reporting Engineer - Hybrid / Remote

Reporting Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers

Job description

Reporting Engineer - Hybrid / Remote Opportunity
  • Hybrid for candidates in Nashville and surrounding areas.
  • Remote option available for candidates outside of surrounding areas.

Role Summary
This role is responsible for designing, delivering, and operating secure, compliant, and high-performing healthcare reporting solutions at enterprise scale. The Reporting Engineer develops and optimizes Power BI semantic models, authors production-quality DAX, enforces robust security controls, and implements disciplined CI/CD practices for analytics delivery.
The role partners closely with data engineering to integrate curated datasets (claims, EHR, FHIR) into a governed semantic layer that supports clinical, operational, and financial decision-making.
Key Responsibilities
1) Modeling & Report Engineering
  • Design and implement Power BI semantic models (Import, Direct Lake, DirectQuery, and Composite) aligned with star schema and dimensional modeling best practices
  • Author robust DAX, including calculated columns, measures, and calculation groups, with careful management of filter context, row context, and time intelligence (e.g., role-playing dates)
  • Build enterprise-grade dashboards and reports in Power BI Service with emphasis on usability, accessibility, and consistent KPI definitions
  • Implement incremental refresh, aggregations, and hybrid tables to support large-scale datasets

2) Performance & Scale
  • Optimize models through tuning of cardinality, relationships, encoding, partitioning, and aggregation strategies to meet report performance SLAs
  • Design solutions that scale across Power BI capacities (Fabric/F capacities, autoscale, and load management) using usage-driven optimization

3) Governance, Security & Compliance
  • Implement and manage Row-Level Security (RLS) and Object-Level Security (OLS) aligned with least-privilege access and separation of duties
  • Enforce HIPAA-compliant handling of PHI, including masking, minimization, and retention controls across development, test, and production environments
  • Integrate with Microsoft Purview for lineage, glossary, and classification; document and certify datasets and metrics
  • Define and operationalize KPIs and metric definitions within the semantic layer to ensure consistency across reporting products

4) Data Sources & Platform Integration
  • Partner with data engineering to source data from Azure Fabric and Lakehouse platforms, Azure Synapse, Azure SQL, Databricks/Delta Lake, Snowflake, and on-premises SQL via On-Premises Data Gateway
  • Build parameterized Power BI Dataflows and Dataflows Gen2 (where applicable) to support reusable transformations aligned with medallion (bronze/silver/gold) datasets
  • Support integration of healthcare data standards including FHIR R4, HL7 v2, and X12 (837/835) into the semantic model for payer and provider analytics use cases (e.g., denials, length of stay, readmissions, quality measures)

5) Release Engineering & Observability
  • Implement CI/CD practices for Power BI, including Git-enabled workspaces, deployment pipelines, pull request-based reviews, Tabular Editor scripting, and automated best practice analysis (BPA)
  • Monitor refresh SLAs, gateway health, query performance, capacity utilization, and usage analytics; drive proactive performance tuning and cost governance
  • Establish standards for versioning, certification, and deprecation of datasets and reports; maintain clear and durable documentation

6) Stakeholder Enablement
  • Translate clinical, operational, and financial metrics into well-defined technical measures in collaboration with subject matter experts (Finance, Quality, Care Management, Revenue Cycle)
  • Develop reusable report templates, themes, and field parameter patterns to accelerate governed self-service analytics
  • Provide enablement and guidance to analysts on DAX patterns, semantic modeling techniques, and performance anti-patterns

Required Qualifications
  • 3-6 years of experience in BI or reporting engineering, with at least 3 years focused on Power BI at scale
  • Advanced proficiency in:

    • DAX, Power Query (M), Power BI Desktop and Service
    • Tabular Editor and DAX Studio
    • Dimensional modeling patterns, including star schema, role-playing dimensions, calculation groups, and aggregations
    • Power BI security, including RLS/OLS, workspace and app permissions, tenant settings, and data classification

  • Demonstrated experience delivering reporting solutions on healthcare data such as EHR encounters, claims, authorizations, registries, and quality measures
  • Strong SQL skills and experience with one or more data platforms: Microsoft Fabric, Azure Synapse, Azure SQL, Databricks/Delta Lake, or Snowflake
  • Solid understanding of BI DevOps practices, including Git, deployment pipelines, code review, artifact promotion, and testable analytics patterns

Preferred Qualifications
  • Experience with Microsoft Fabric, including Direct Lake, OneLake shortcuts, and semantic model governance
  • Power BI tenant and capacity administration with an emphasis on performance and cost management at enterprise scale
  • Familiarity with Microsoft Purview lineage, glossary, and sensitivity labeling
  • Exposure to additional BI or semantic-layer tools (e.g., Tableau, Looker, Sigma, dbt metrics)
  • Relevant certifications, such as PL-300, DP-500, DP-203, or platform-specific certifications (Databricks, Snowflake)
  • Knowledge of healthcare data frameworks and programs, including FHIR R4, HL7 v2, X12, HEDIS, STARS, and HIPAA Security and Privacy Rule fundamentals

Benefits:
  • Comprehensive health, dental, and vision insurance
  • Health Savings Account with an employer contribution
  • Life Insurance
  • PTO
  • 401(k) retirement plan with a company match
  • And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.
*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.
*No Recruiters Please
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

What Surgery Partners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply