Top Business Intelligence Jobs in Memphis, TN

The Data & Insights Partner transforms data into actionable insights, collaborating with teams to drive customer success and build a data-driven culture. Responsibilities include reporting strategy, insight delivery, cross-functional collaboration, training, customer engagement, and maintaining data integrity.

Zeta Global seeks a Senior Manager, Data Cloud Consulting to provide strategic guidance on paid media and CRM to clients, develop marketing strategies, and manage analytics roadmaps. The ideal candidate will have extensive experience in data-driven strategy consulting and marketing.

The Business Intelligence Data Analyst will analyze data, build reports, and support Customer Success initiatives using SQL and BI tools.

Lead Engineer for Business Systems focusing on Salesforce, overseeing technical strategies, system enhancements, and cross-team collaboration to optimize workflows and support system governance.

The Analyst II role involves designing pricing strategies, risk analysis, financial modeling, and collaborating across teams to optimize pricing opportunities.

The Business Intelligence Engineer will develop BI reports and dashboards, ensuring data quality and collaborating with business stakeholders for data-driven insights.

The Pigment Systems Administrator will manage the Pigment platform, support financial planning, data integration, dashboard creation, and process improvement, collaborating with cross-functional teams.

The Director of Practice Intelligence is responsible for data-driven solutions to optimize service delivery and improve client outcomes, managing analytics projects from conception to implementation.

The role involves leading a team of analysts, driving business growth, analyzing product strategies, and presenting insights to executives.

The Senior Analyst, Portfolio Strategy will drive growth by providing insights, managing portfolio risk, and analyzing pricing strategies. Collaboration with senior management to assess impacts and monitor data models is crucial.

Lead a team of analysts, manage analytics product development, ensure data quality, build self-serve dashboards, and partner with cross-functional teams.