In this role, you will analyze sales data, create insightful reports, and provide strategic recommendations to enhance sales performance and driving data-driven insights and initiatives to optimize sales performance and efficiency. This role involves interpreting complex data sets, identifying trends, and collaborating with cross-functional teams to optimize processes. Strong analytical skills and the ability to communicate findings effectively are essential.
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A Place for Mom is seeking a Director, Data Products to help build the future of their senior care data ecosystem. This role will define and drive how they systematically collect, organize, and package their internal proprietary data to maximize value for the families they serve and their partners within the senior care space. This director of Data Product role will be at the helm of building their product offering designed specifically for community customers.
Care Delivery’s Capacity & Analytics team is responsible for care team capacity modeling, care team scheduling, data analysis & reporting, and workforce optimization. Omada is hiring a Senior Data Analyst to join Care Delivery’s Capacity & Analytics team to build and improve a capacity model, own analysis in support of care delivery initiatives, and define metrics and KPIs.
Peek is seeking a data-driven Data Analyst to transform data into valuable insights, experiments, and product enhancements. In this position, you'll collaborate with Product, Engineering, Operations, and Leadership, comprehending customer behaviors, pinpointing friction in product flows, and influencing Peek's analytics ecosystem. This is suitable for someone who enjoys SQL, comprehends BI tooling, and is enthusiastic about AI in data work.
Responsible for designing, developing, and maintaining large-scale data ingestion and transformation pipelines on Databricks. A key contributor in implementing modern DataOps practices, ensuring data reliability, scalability, and alignment with business requirements through the integration of data contracts and automated quality checks. Design, build, and optimize data ingestion and transformation pipelines using Databricks and other modern cloud-based data platforms.
Join the pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have a significant impact on the company’s growth. Shape the architecture of data products designed for data analytics and data science.
In this high-impact role, you’ll take ownership of designing, building, and scaling the data pipelines and infrastructure that power our ML and AI models. You’ll work across ingestion, transformation, modeling, and orchestration — ensuring our data is reliable, accessible, and primed for analytics and machine-learning use cases.
Focusing on leading the design, development, optimization, and governance of enterprise-scale data platforms and pipelines on the Microsoft Azure cloud, this role requires a deep blend of technical expertise, architectural insight, and leadership skills. You will architect and implement scalable, secure, and cost-efficient cloud-native data solutions, primarily utilizing Azure Synapse Analytics.
This role is perfect for someone who thrives on autonomy, enjoys solving problems, and wants to make a real impact by turning data into actionable insights. You’ll be part of a collaborative, forward-thinking team where your curiosity and initiative will be valued. Tasks include monitoring data accuracy, creating dashboards and resolving data issues.
Staff Data Engineers are responsible for being interpersonal force multipliers across the organization, augmenting our internal capabilities to effectively manage and leverage client data effectively. Staff Data Engineers work closely with functional leadership and data solutions team members to understand common client business needs and requirements to identify and develop data engineering solutions to meet those needs.