Top Data & Analytics Jobs in St. Louis, MO
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As a Senior Data Engineer at Equifax, you will lead the evolution of the data platform, design and implement data frameworks, build complex data pipelines, mentor junior team members, and set engineering standards and best practices.
The Credit Analyst II will analyze and underwrite commercial credit risks, prepare loan approvals, conduct financial assessments, and monitor credit quality trends to assist in lending relationship presentations. This role includes preparing financial statements and reports, researching financial information, and discussing creditworthiness with management.
The Data Annotation Specialist reviews and labels various data types for AI and ML training data. This role requires attention to detail and teamwork within a large group, while effectively communicating and adapting to changing priorities.
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The Senior BI & Analytics Engineer will manage financial data integrity, develop dashboards using Tableau, analyze financial data for insights, and play a key role in defining KPIs in collaboration with Finance leadership.
The role involves planning and managing data-driven SEO, SEM, and PPC programs. Responsibilities include conducting keyword research, optimizing campaigns, analyzing performance data, and collaborating with writers and developers to enhance marketing strategies. Staying updated on digital marketing trends is essential.
This job requires managing and implementing data-driven SEO, SEM, and PPC programs, including campaign management and optimization, analytics management, and collaboration with web developers and marketing teams. The role also involves writing and communicating effectively, analyzing data, and making recommendations for marketing strategies.
The System Analyst will enhance the efficiency of EIA software applications and systems by developing and automating processes, managing business applications, troubleshooting issues, and providing technical support. Responsibilities include deploying and configuring new applications, managing license servers, and improving processes based on feedback.
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The Data Engineer will develop, operate, and design components in the data layer, focusing on data strategy, warehousing, cloud architecture, and optimizing data storage using modern tools like Spark and Hive.
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.
Top Companies in St. Louis, MO Hiring Data + Analytics Roles
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