Top Remote Analytics Jobs in Baton Rouge, LA

As a Senior Analytics Engineer, you will build data models, ensure data quality, collaborate with teams, and champion analytics best practices to influence business growth.

Lead the design and implementation of algorithmic trading strategies, oversee technical infrastructures, and mentor a multidisciplinary team while managing performance analysis and risk.

Lead and grow the analytics team, collaborate with leaders to shape experiments, dive into data using SQL and Python, and present insights to executives.

The RevOps Analytics Manager is responsible for data analysis, insights generation, data governance, and supporting sales and marketing strategies through advanced analytics and forecasting.

The role involves designing and delivering end-to-end data and analytics solutions on Azure for enterprise clients, requiring data engineering experience.

The Senior Manager, Marketing Analytics will develop campaign performance metrics, enhance reporting capabilities, and optimize marketing strategies while collaborating with various teams.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

Lead a team of analytical engineers to create optimized data solutions, mentor members, and collaborate on data-driven projects using AWS technology.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the development of analytics and BI functions within Snorkel's Data-as-a-Service team, focusing on data modeling, team management, and driving strategic business decisions based on analytics insights.

As the first Data Engineer, you will manage data ingestion, architecture, and quality for our algorithmic trading team, ensuring high-performance datasets.

The Risk Portfolio Analytics Manager leads risk reporting and analytics, ensuring a data-driven view of risk exposure and portfolio performance. Responsibilities include producing reports for governance bodies, monitoring performance, enhancing fraud analytics, and improving reporting frameworks.

Analyze data to drive insights for fraud detection and customer onboarding, develop dashboards, and collaborate across teams to optimize strategies.

The role involves leading product analytics, collaborating with teams to improve customer experience, conducting A/B tests, and deriving insights from product data.

The Associate Director, Pipeline Analytics will lead data-driven insights, predictive modeling, and portfolio prioritization in oncology R&D to optimize asset development and commercialization strategies.

The Director of Analytics will lead the analytics function, driving business optimization, developing data assets, creating dashboards, and managing a team of analysts.

Lead analytics for OnePay's Lending product, working cross-functionally to develop data-driven strategies, foster growth, and manage a team of analysts.

The Analytics Lead will design data infrastructure, provide business intelligence, build financial analytics models, and lead a team to drive growth insights.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

Lead the development of consent analytics for Netflix's Ads business, building metrics, dashboards, and predictive models, while collaborating with cross-functional teams to optimize user consent management.

The Quant Analytics Associate performs quantitative analysis on large datasets, supports model validation, and develops communication skills and data literacy. Responsibilities include identifying data errors, visualizing data, and conducting diagnostics testing under supervision.

The Programmatic Insights Analyst will manage client deliverables, analyze data for insights, and drive performance measurement in media campaigns, delivering actionable results to clients.

The role involves designing data models and dashboards within a cloud-based analytics environment to support sales and marketing teams. It includes building data pipelines and troubleshooting data issues while collaborating with cross-functional leaders on data-driven solutions.

Lead the design and execution of a fraud defense strategy, managing a team of analysts to minimize losses and enhance customer experience in a FinTech setting.

Lead analysis and reporting of regulatory data for P&C insurance, collaborating with teams to build SQL queries and modern data pipelines.