Top Remote Data & Analytics Jobs in Nashville, TN

This role involves writing user stories, supporting agile team processes, and driving customer discovery to enhance technology solutions for clients.

Leads the design, development, and maintenance of scalable AWS data platforms, pipelines, ETL/ELT workflows, data models, and orchestration systems. Uses Python, PySpark, SQL, dbt, AWS services, modern lakehouse technologies, and CI/CD practices to deliver secure federal data solutions. Responsibilities include platform modernization, performance optimization, AI-enabled data integration, compliance support, technical mentoring, architecture discussions, and cross-functional Agile collaboration.

Develops and supports data architecture and medical imaging informatics solutions on the XNAT platform. Responsibilities include data integration, modeling, storage and delivery optimization, data-sharing, coding, testing, release management, defect reduction, technical documentation, and partner support. The role collaborates with research and clinical teams, oversees stable XNAT releases, and advances platform capabilities. Required qualifications include a bachelor’s degree or equivalent experience, five years of data-related experience, and PostgreSQL skills.

Leads complex analytics initiatives and partners with business leaders to define problems, analyze pharmacy, sales, and operational data, and develop actionable recommendations. Manages engagements across the full analytics lifecycle, from discovery through solution delivery and implementation support. Designs metrics, dashboards, frameworks, and decision-support tools while communicating insights to executive, operational, and technical audiences. The role emphasizes consultative analytics and business problem solving rather than software development or data infrastructure engineering.

The Business Analyst gathers and prioritizes business requirements, supports technology platform design and implementation, maintains process and stakeholder knowledge, conducts software testing and quality assurance, assists with project planning, and trains end users. The role collaborates with vendors, IT, operations, underwriting, and distribution teams to align technology solutions with business needs, KPIs, and the organization’s technology roadmap.

Staff Data Engineer responsible for defining data architecture strategy, building fault-tolerant batch and real-time streaming infrastructure, and managing scalable lakehouse and database systems. The role processes telemetry from millions of connected devices, drives performance tuning and data quality, supports on-call operations, evaluates modern technologies, and mentors engineers. It requires strong expertise in Python, SQL, cloud data platforms, streaming systems, infrastructure as code, and enterprise-scale architecture.

Analyzes institutional data, surveys, student success metrics, enrollment trends, academic information, and KPIs. Prepares internal and external reports, data visualizations, statistical analyses, and presentations supporting university planning, accreditation, strategic initiatives, grants, and program reviews. The role also provides survey design and data-analysis consulting to university departments and ensures data integrity.

Designs, builds, and maintains batch and near-real-time data pipelines and curated datasets for insurance and annuity reporting, analytics, and business operations. Translates business requirements into integration solutions using SQL and ETL tools, implements data quality and reconciliation controls, optimizes workflows, documents lineage, and supports testing, deployment, monitoring, and issue resolution. Works independently on moderately complex pipelines while escalating architectural decisions to senior engineers or data architects.

Own end-to-end data workflows, including ingestion, storage, orchestration, transformation, validation, and delivery. Build ETL/ELT pipelines, manage cloud data platforms and transfers, optimize data models and queries, maintain data quality monitoring, troubleshoot production issues, and document data flows. Collaborate with technical and nontechnical teams to investigate discrepancies, support enterprise datasets, and apply secure data-handling practices.

Designs and manages Qualtrics in-product intercept surveys, targeting workflows, directories, and data collection. Analyzes user behavior, product performance, and survey feedback; builds dashboards and communicates actionable insights to product, UX, and leadership teams. Collaborates with qualitative researchers, data engineering, and development teams to integrate survey data with behavioral analytics platforms and enable access to behavioral datasets across B2B and B2C products.