Top Remote Data & Analytics Jobs in St. Louis, MO
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
As a Senior Data Analyst in Sales Operations, you will enhance sales analytics by utilizing SQL, Tableau, Metabase, and Snowflake to analyze and report on sales performance, forecast data, and operational metrics. You will create dashboards and perform customer segmentation analysis while identifying opportunities for data-driven improvements and automating workflows. Collaboration with senior leadership and team members is essential for success.
The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.
The GTM Operations Analyst will manage commercial operations in support of Account Management, enhance reporting and dashboards, analyze client performance, and improve Go-To-Market processes. Responsibilities also include leading Client Health initiatives and collaborating across departments to drive growth initiatives and training.
The Educational Data Analyst/Engineer will engage with school district administrators to understand their data needs, design and develop customized metrics and dashboards, manage data integrations using SQL and Python, and ensure data quality and reporting effectiveness.
The Senior Revenue Analyst will manage global revenue streams, overseeing the month-end revenue close, ensuring compliance with US GAAP and ASC 606. Responsibilities include reviewing contracts, preparing journal entries, conducting revenue reconciliations, and collaborating with various teams to improve accounting processes and revenue recognition accuracy.
As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.
The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
The Senior Data Scientist will focus on building machine learning models for performance marketing, including designing Multi-Armed Bandit solutions and recommendation systems. The role involves collaboration with various teams to improve customer engagement and contribute to data-driven solutions, requiring hands-on work with data and coding.
Top remote Companies in St. Louis, MO Hiring Data + Analytics Roles
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