Top Analysis Reporting Jobs in Memphis, TN

Own end-to-end marketing performance measurement, design scalable analytics frameworks, and build dashboards and automated reporting. Lead advanced measurement (attribution, MMM, incrementality, experimentation), partner with data teams to improve infrastructure, and translate complex analyses into actionable insights to optimize ROI and pipeline contribution.

Partner with GTM and Sales leadership to design and deliver executive-grade dashboards and insights across pipeline, bookings, forecasting, and productivity. Build and govern scalable BI solutions (Tableau, PowerBI, Clari, Gong, Salesforce), diagnose revenue performance drivers, support executive and board reporting, improve CRM data quality, and translate analysis into actionable recommendations that influence GTM strategy and revenue outcomes.

Design, build, and maintain secure, scalable cloud-native data platforms (lakehouse/data mesh) supporting batch, streaming, ML, GIS, and operational workloads. Lead ingestion/transformation pipelines, implement distributed/event-driven processing (Spark/Kafka), enforce governance, observability, and SLAs, and mentor engineers while partnering with data scientists and stakeholders.

Design and analyze experiments, write production Python code, build reporting and analytics tools, and translate data science analytics into product features to optimize Connected TV ad campaigns.

Lead strategic initiatives in Internal Audit, integrating AI and technology, optimizing processes, managing staffing programs, and aligning with business objectives.

Analyze large payment datasets to detect fraud, build and maintain risk scoring models and automated detectors, lead investigations, optimize payment flows, and produce executive risk reporting to protect the platform and support responsible gaming.

Analyze IVR journeys and large-scale contact center call data to identify containment and routing issues, transform and model datasets, produce dashboards and concise data-backed insights, validate speech vs DTMF performance, track IVR KPIs, and collaborate with architects, engineers, and product teams to optimize IVR architecture and customer experience.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.

The Data Analyst will collect, analyze, and visualize data to support business decisions while collaborating across teams and utilizing various data analysis tools.

The Data Analyst 2 supports the Nordstrom Product Group by designing and building LookML data models to provide insights, improve decision making and drive business value.