Top Data & Analytics Jobs in New Orleans, LA

Supports Navy training readiness analysis, data validation, dashboard and report development, performance metrics, data migration, process improvement, training coordination, and documentation. Uses reporting and visualization tools to support FTM and FLTMPS initiatives within the Jupiter data environment. Collaborates with government stakeholders and contractor personnel while maintaining data governance and security procedures.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

Maintains accurate CRM data across HubSpot and ServiceNow by processing data requests, entering and cleaning records, resolving duplicates, managing account relationships, supporting bulk uploads, and addressing cross-system data issues. Partners with Sales, Marketing, and IT Development to ensure accurate integrations, workflows, deal data, and adherence to data processes.

Analyzes business performance data and delivers actionable insights for stakeholders and senior leaders. Develops dashboards, scorecards, KPI reports, and recurring brand reporting while ensuring data accuracy and reliability. Partners with sales, marketing, product, and technical teams to translate business needs into analytics solutions. Performs ad hoc analysis, identifies trends and risks, supports executive presentations, and communicates recommendations clearly.

Analyzes e-commerce performance, sales, conversion, traffic, profitability, digital shelf metrics, POS data, consumer behavior, and market trends. Builds executive dashboards and recurring reports, conducts forecasting and ad hoc analyses, and translates insights into recommendations for marketing, merchandising, product development, and channel strategy. Partners with cross-functional stakeholders to identify growth opportunities, improve processes, and support strategic business decisions.

Architect and lead enterprise data platforms, pipelines, and infrastructure using Spark, Databricks, and cloud technologies. Build scalable data models and dimensional schemas, establish governance and data quality frameworks, optimize performance and reliability, and implement monitoring. Partner with stakeholders to translate requirements into technical solutions, lead design reviews, mentor engineers, contribute to platform strategy, troubleshoot complex failures, and support hiring and team development.

Build and maintain Python-based data ingestion and ETL pipelines for a large-scale migration. Extract data from legacy systems, APIs, databases, and enterprise platforms; transform, validate, and load it into MySQL and PostgreSQL. Monitor and optimize pipeline reliability, troubleshoot data issues, document technical solutions, and collaborate with engineering and business stakeholders. The role requires strong SQL, API, Git, data quality, securities data, and vulnerability data management experience.

Develops and operates production data pipelines across lakehouse layers, administers Databricks and Unity Catalog, and maintains platform governance, monitoring, reliability, and documentation. Troubleshoots incidents, manages recoveries and backfills, implements data quality and schema testing, monitors performance and cost, and coordinates schema changes. Partners with analysts, developers, and business owners to deliver dependable data products and support AI-assisted operational workflows.

Build and maintain scalable data pipelines, analytics-ready models, and trusted metrics for Airbnb’s AirCover programs. The role involves ingesting and reconciling partner data, ensuring data quality and observability, supporting reporting, experimentation, financial reconciliation, and operational workflows, and collaborating with engineering, product, finance, analytics, and data science teams.