Top Data & Analytics Jobs in Memphis, TN

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

The role involves leading analytics initiatives, collaborating with teams to develop solutions, and ensuring customer satisfaction through effective insights and tools. Responsibilities include managing analytics projects, facilitating scrum meetings, and promoting data-driven decision-making within the organization.

Build and maintain Azure-based ETL pipelines and data solutions using Azure Data Factory and Microsoft Fabric. Develop notebooks (SQL, Python, PySpark), write complex SQL, migrate processes to Fabric, optimize pipeline performance, collaborate with analysts and stakeholders, and create technical documentation and lightweight internal web pages to support data initiatives.

Lead design and delivery of enterprise Power BI solutions and a Power BI Center of Excellence. Build scalable data models, integrate BI with centralized data platforms and ERP systems, govern BI assets, adopt DevOps and Agile practices, mentor teams, and drive analytics adoption to enable data-driven decisions across the organization.

Support development and maintenance of the Citys work order/asset management GIS using ArcGIS Server/Online. Perform geodatabase editing, data conversion, complex spatial analyses, Python scripting/ModelBuilder, web service deployment (SOAP/REST), and application development with C#/.NET, HTML, and JavaScript. Collaborate with city divisions to define workflows and provide training.

Provide onsite systems analysis and support for USPS data analytics: troubleshoot, QA (including automation/ALM), write and optimize SQL, validate data quality, create dashboards/reports, liaise between customers and development, maintain documentation and SOPs, and support continuous improvement.

Lead and mature the enterprise MDM function: own MDM platform roadmap, architecture, data governance, golden record strategy, and team performance. Provide hands-on technical leadership for EnterWorks and MDM design patterns, resolve high-risk data quality incidents, partner with business and IT stakeholders, run governance councils, improve delivery frameworks, and manage vendors and staff to deliver a single trusted view of product, customer, and vendor data.

Design and deliver full lifecycle enterprise and big-data architectures, translate complex functional and technical requirements into detailed designs, lead presales and client presentations, perform advanced analytics and ML modeling (logistic/linear regression, random forest, neural networks, time series), define data requirements and analytical plans, and collaborate with cross-functional teams and stakeholders.

The Lead Cloud Data Engineer will design and optimize ETL pipelines, manage data quality, and collaborate with teams to meet data needs. Responsibilities include monitoring pipelines and mentoring junior engineers, while leveraging AWS and other cloud technologies.

Design, build, and optimize scalable data ingestion and transformation pipelines in a medallion (Bronze/Silver/Gold) architecture on Microsoft Fabric/OneLake. Ensure HIPAA-compliant, multi-tenant data isolation, data quality monitoring, lineage and governance. Partner with Data Science, ML Engineering, and Software Engineering to deliver feature stores, ML-ready datasets, and production-grade data delivery for analytics and scoring.