At RM Dayton Analytics, we’re building next-generation analytics and AI teams to solve today’s most complex business challenges. Whether your expertise lies in business analytics, data science, big data engineering, machine learning, enterprise performance management, or planning, you’ll find analytics and AI jobs that let you leverage deep domain knowledge and cutting-edge analytical techniques. We seek professionals motivated by impact, innovation, and real-world problem solving.
At RM Dayton Analytics, we believe data is only powerful when it creates real-world impact. We are building teams of analytics, data science, AI, and big data professionals who want more than just technical analytics and AI jobs—they want to shape how organizations think, decide, and compete. Our work sits at the intersection of strategy, data, and technology. From enterprise analytics to AI-enabled decision systems, we help organizations transform complexity into clarity. If you are driven by purpose, innovation, and meaningful outcomes, you belong here. We connect talent with meaningful work—projects that span enterprise analytics, AI-enabled systems, data platforms, and intelligent decisioning. This is where technical excellence meets business relevance.
Your career in analytics should do more than build models—it should build impact. At RM Dayton Analytics, we create opportunities for professionals in business analytics, data science, AI, and big data to work on high-value problems that matter to real organizations. Our teams are built on: Intellectual rigor — data discipline, analytical excellence, and technical depth. Business impact — analytics that drive decisions, not just dashboards. Collaboration — multi-disciplinary teams solving real enterprise problems. Growth — continuous learning across AI, data platforms, and emerging technologies.

Snowflake Cloud Data Platform
The Sr. Snowflake Architect role entails strategizing, road-ma..
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The Sr. Snowflake Architect role entails strategizing, road-map planning, tool selecting, architecting/designing, building and implementing technology solutions to solve complex business problems. Tech Skills: Direct experience with a wide variety of data and web technologies, as well as Google Cloud or AWS tech stack architecture, data architectural flow diagrams development expertise.

Big Data Platforms
The Sr. Big Data Engineer is responsible for the development o..
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The Sr. Big Data Engineer is responsible for the development of high performance, distributed computing tasks using big data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies. Tech Skills: JVM-based function languages including Scala, Hadoop; query languages including Pig and Hive; HDFS-based computing frameworks including Spark and STORM.

Cloud Technology
The Sr. Cloud Architect will have the skills and vision requir..
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The Sr. Cloud Architect will have the skills and vision required to translate business needs into a world-class technical solutions using the latest technologies. Functions: Architect and deploy cloud networks. Understand 'as is' and 'to be; application infrastructure. Set-up a monitoring stack with alerts and dashboards. Tech Skills: Experience with AWS, cloud formation, code pipeline and code build.

AI and Cognitive Technologies
The Sr. Machine Learning Engineer will have the business acume..
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The Sr. Machine Learning Engineer will have the business acumen needed to interface directly with key stakeholders and translate needs into a world-class technical solutions. Functions: Design machine learning systems for scale and to put into operations. Select appropriate data representation systems. Research and implement appropriate ML algorithms and tools. Perform ML tests, experiments, and monitoring. Measure and retrain models when necessary.

Intelligent Automation Technology
As an Intelligent Process Automation Consultant, you will be a..
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As an Intelligent Process Automation Consultant, you will be a key player in the consulting team that helps discover and define the problem statement, evaluates the solution options and makes recommendations. You will create detailed design, architecture and process artifacts and implement the deployment plan. Functions: Solid understanding of business process and documenting AS IS Process and able to identify automation opportunity from AS IS Process. Support production automations.

Snowflake Cloud Data Platform
The Snowflake Data Engineer creates automated data pipelines, ..
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The Snowflake Data Engineer creates automated data pipelines, big data platforms and data integrations with data warehouses and data lakes, working with various cloud and on-premises technologies. Tech Skills: Data and Microservices integration, Snowflake, Google Cloud, AWS, Hive, Cassandra, Couch, Solr, Kinesis/Kafka streaming, ETL, Hadoop, Python and PySpark.
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