Top Senior Level Data & Analytics Jobs in Kansas City, MO

The Principal Solutions Architect will engage with top research labs to enhance product adoption and maximize value through technical leadership. Responsibilities include leading Proof of Concepts, conducting technical demos, documenting best practices, and collaborating to address customer challenges. The role requires hands-on expertise in AI/ML frameworks while identifying upsell opportunities.

As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.

As a Senior Data Analyst at Privacy.com, you will own analytics for the team, provide insights to stakeholders, manage data projects, design and analyze A/B tests, and support decision-making processes to enhance customer experience.

The Sr. Analyst Relations Manager will develop and enhance the analyst relations program at Databricks, building and nurturing relationships with key industry analysts. Responsibilities include managing analyst requests, coordinating briefings, staying updated on industry trends, and partnering with teams to improve market visibility.

As a Salesforce and Gainsight Analyst, you will enhance customer experience through effective platform use. You'll optimize customer-centric solutions, streamline data flows for marketing, and collaborate with teams to develop strategies. Your role involves CRM strategy, configuration, data management, analytics, and providing user support for improved customer engagement.

As a Senior Data Engineer at CrowdStreet, you will build and influence the architecture of a new data platform, handle the full lifecycle of software development, and work with various teams to translate data needs into actionable initiatives. Responsibilities include optimizing data ingestion and modeling, maintaining data pipelines, and collaborating to enhance data operations.

As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.