Top Remote Analysis Reporting Jobs in Baton Rouge, LA

Lead insights projects for Reddit’s Global Insights team, translate complex data into actionable insights, and partner with sales and marketing to enhance advertising effectiveness. Requires expertise in mixed-methodology research and significant experience in consumer behavior and strategic consulting.

The Sr. Data Analyst at Mode Mobile will analyze complex datasets, identify trends, improve data quality, and support cross-functional decision-making to drive business growth.

Leading the Data, Analytics, and Insights team, establishing measurement frameworks, delivering dashboards, and implementing operational workflows to support decision-making across the organization.

As a Data Entry Specialist, you'll enter and verify legislative data, maintain schedules, conduct audits for accuracy, and support data projects.

Develop and maintain pricing models for LTC products, analyze policyholder behavior, support modeling solutions implementation, and document methodologies.

As a Strategic Exploration Associate, you will research and analyze innovative solutions for long-term care insurance, develop actuarial models, and collaborate with stakeholders to enhance profitability and manage risks.

Support pricing analysis for LTC products, develop pricing models, collaborate with teams, and prepare findings for management. Participate in an actuarial development program to gain skills and achieve FSA designation.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The Curriculum Developer will create engaging curriculum materials for a Power BI training program, ensuring content accuracy and alignment with industry standards. Responsibilities include developing written materials, hands-on activities, quizzes, and assessments for a comprehensive training experience.

The Principal Data Analyst will conduct complex data analysis, develop reporting dashboards, answer client inquiries, and support teams in data-driven tasks.

As a Data Engineer, you will design and implement a data platform, maintain data pipelines, work with Airflow and BigQuery, and ensure data compliance while collaborating with teams.

The Machine Learning Engineer develops AI solutions for cancer care using expertise in ML algorithms and genomic data, collaborating across teams.