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Remote Aggregate Jobs in Tennessee (NOW HIRING)

Cherry Bekaert

Deal Advisory Senior Manager

Nashville, TN · On-site +1

$105K - $247K/yr

... or possibly remote for the right resource. Our National Deal Advisory practice supports M&A ... Throughout 2025, our team advised on ~650+ deals with an aggregate transaction value exceeding $25B.

Cherry Bekaert

Deal Advisory Director

Nashville, TN · On-site +1

$190K - $318K/yr

... or possibly remote for the right resource. Our National Deal Advisory practice supports M&A ... Throughout 2025, our team advised on ~650+ deals with an aggregate transaction value exceeding $25B.

JLL

Senior Occupancy Planner

Nashville, TN · On-site +1

Aggregate and analyze data from multiple sources * Utilizing a CAFM/IWMS database, manage ... Remote -Austin, TX, Burlington, MA, Chicago, IL, Kansas City, MO, Nashville, TN If this resonates ...

All JobsRemote Aggregate JobsRemote Aggregate Jobs in Tennessee

Remote Aggregate information

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

To thrive as a Remote Data Aggregator, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in information systems or a related field. Familiarity with data aggregation tools, spreadsheets, databases, and sometimes knowledge of programming languages like SQL or Python is typically required. Excellent time management, communication, and self-motivation are vital soft skills for remote collaboration and meeting deadlines. These abilities are crucial for ensuring accurate, timely, and reliable data collection and synthesis while working independently.

What are some common challenges faced by professionals in a remote aggregate data analysis role, and how can they be addressed?

Professionals working in remote aggregate data analysis often encounter challenges such as coordinating with geographically dispersed teams and ensuring data consistency across multiple sources. To address these issues, it’s important to establish clear communication channels and standardized data protocols. Regular virtual meetings and collaborative platforms can help maintain alignment, while thorough documentation ensures everyone is on the same page. Additionally, actively seeking feedback and participating in online training can help you stay updated with best practices and emerging tools in the field.

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

AspectRemote AggregateRemote Data Analyst
Required CredentialsTypically a degree in business, finance, or related fields; familiarity with data toolsDegree in statistics, mathematics, or related fields; proficiency in data analysis software
Work EnvironmentCollaborative teams, often in business or finance sectors, remote or hybridData-focused environment, often in tech, finance, or consulting firms, remote or hybrid
Employer & Industry UsageUsed by companies analyzing aggregate data for strategic decisionsUsed by organizations to interpret data sets, generate reports, and support decision-making

Remote Aggregate involves analyzing summarized or combined data sets for strategic insights, often in business contexts. Remote Data Analysts focus on interpreting detailed data to generate reports and support decision-making. While both roles require analytical skills, Remote Aggregate emphasizes data compilation and high-level analysis, whereas Remote Data Analysts work directly with raw data to derive insights.

What are Remote Aggregates?

Remote Aggregates are professionals or services that gather, process, and analyze data or resources from remote locations, typically using digital tools and cloud-based platforms. Their work often involves collecting information from various sources, consolidating it, and delivering insights or compiled data to clients or organizations. Remote Aggregates can work in fields like data management, market research, or logistics, providing flexible and scalable solutions without the need for on-site presence. This role is increasingly important as businesses shift toward remote operations and data-driven decision-making.
What are the most commonly searched types of Aggregate jobs in Tennessee? The most popular types of Aggregate jobs in Tennessee are:
What are popular job titles related to Remote Aggregate jobs in Tennessee? For Remote Aggregate jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Aggregate jobs in Tennessee look for? The top searched job categories for Remote Aggregate jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Aggregate jobs? Cities in Tennessee with the most Remote Aggregate job openings:
Remote Aggregate jobs near you
Infographic showing various Remote Aggregate job openings in Tennessee as of June 2026, with employment types broken down into 2% Locum Tenens, 17% Full Time, 56% Part Time, 2% Temporary, 22% Contract, and 1% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Reporting Engineer - Hybrid / Remote

Reporting Engineer - Hybrid / Remote

Surgery Partners

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

187th of 870 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.

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