Top Data & Analytics Jobs
The Healthcare Analytics Analyst conducts analyses to drive strategy and product performance at Cohere Health. Responsibilities include optimizing auto-decisioning strategies, leveraging healthcare data, performing quantitative analysis on costs and outcomes, tracking trends, and building reporting solutions for clients. The role involves collaboration with teams and supporting stakeholders with insights and data visualizations.
As an Analytics Engagement Manager at Definitive Healthcare, you will help clients leverage data-driven solutions to meet their business goals. Responsibilities include gathering client requirements, developing Statements of Work, enhancing product adoption, and providing thought leadership in healthcare commercial intelligence. You will ensure the successful utilization of the Atlas All-Payer Claims asset within your assigned clients.
The Sr. HR Compliance Analyst will enhance HR compliance by developing and administering global compliance programs, ensuring adherence to employment laws and regulations, conducting audits, and providing guidance on regulatory matters. This role includes monitoring HR policies, managing compliance documentation, and facilitating compliance training.
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The Senior Architect will provide guidance on DataBricks platform selection, design data processing pipelines using modern tools, and manage data structures for ingestion and reporting. Responsibilities also include coaching team members, ensuring data integrity, and coordinating with data source owners for seamless integration with analytics platforms.
The Senior Architect will guide clients in developing Big Data strategies, focusing on DataBricks, while designing data flows, advising on platform selection, and ensuring data integrity. Responsibilities also include coaching team members and coordinating with application owners to integrate analytics platforms.
The Senior Architect will guide clients in developing Big Data strategies and architecture. Responsibilities include designing data pipelines using tools such as Spark and DataBricks, managing data integrity, coaching team members, and advising on platform selection for data processing.
The Senior Data Engineer at Overjet will design and implement data solutions, manage data ingestion, optimize data pipelines, promote seamless data flow, enhance data transformation processes, and establish a strong data quality framework while leading data literacy initiatives.
As a Principal Data Scientist at Overjet, you will lead analytics initiatives, collaborate with teams to design solutions, analyze complex data sets using Python and SQL, and provide insights to support business objectives. You will also engage with external customers to enhance their understanding and use of Overjet's data.
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The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
As a Senior Data Engineer II, you will lead the development of consumer marketing attribution products at Upside, working with data engineering and platform design. You will collaborate closely with marketing and product teams to enhance internal technical solutions, adopting best practices in software and data engineering.
As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and app feature attribution products, collaborating with various teams, including founders and marketing leadership. You'll utilize your expertise in software engineering and data practices, working with technologies related to cloud services, data manipulation, and consumer marketing.
As an Analyst Relations Manager, you will build and nurture relationships with industry analysts, drive strategic programs, manage multiple projects, and maintain Klaviyo's positive market position. Responsibilities include planning engagements, coordinating briefings, monitoring analyst reports, and managing contract relationships with analysts.
The Head of Enterprise Data Platform and Services at Takeda oversees the transformation and optimization of data operations, leading teams in the development of AI-powered data platform initiatives, improving analytics capabilities, and ensuring data reliability and security.
The Associate Manager, Clinical Data Validation Engineer manages clinical data validation tasks, ensuring compliance with standards and principles. Responsibilities include programming data validation checks, managing the documentation of programming code, collaborating with clinical study teams, and supporting audit-readiness and compliance for clinical trials.
The Business Analyst will support the Product Manager in implementing and optimizing LIMS. Responsibilities include gathering requirements, developing user stories, analyzing processes, performing data analysis, collaborating with development teams, and providing training and documentation for users.
The Senior Machine Learning Engineer at Kalepa will lead the development and deployment of machine learning models to assess business risk using structured and unstructured data. Responsibilities include project ownership, collaboration with product managers and software engineers, and working within a two-week sprint cycle.
As a Machine Learning Engineer, you will lead the development and deployment of machine learning models aimed at assessing business risks using both structured and unstructured data. You will collaborate with Product Management and other engineers while managing projects independently in a sprint-based environment.
The Senior Machine Learning Engineer will lead the development and deployment of machine learning models to analyze business risks. This role requires turning large volumes of structured and unstructured data into actionable insights while managing project direction and collaborating with teams on a two-week sprint cycle.
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