As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities; you will partner with business teams to design scalable solutions and implement end-to-end analytics solutions using modern technical stack.

As a Senior Data Infrastructure Engineer on the Data Engineering team, you will design, build, and maintain data pipelines that support Smartsheet's business operations and analytics. You will collaborate with business stakeholders to understand data requirements, implement data quality checks, and optimize data pipelines for performance.

Join EvolutionIQ as a Senior Analytical Data Engineer to build and scale our next-generation analytical data platform. You will shape our analytics strategy, design robust data models, and ensure data availability and accuracy. Collaborate with data scientists and engineers to deliver data-driven insights that drive critical business decisions.

The Data Analyst will primarily support the Go-To-Market (GTM) teams by providing insights and reporting to drive strategic decision-making. Responsibilities include developing and maintaining dashboards, analyzing marketing and sales data, and collaborating with stakeholders to define key metrics. The ideal candidate will have strong analytical skills, SQL experience, and a passion for translating data into actionable business insights.

In this role, you will leverage your expertise in data analysis to collaborate closely with Product Managers, Operations, and Development teams, generating actionable insights that drive product strategy and optimize performance within Deel's Independent Contractor (IC) vertical.

We’re looking for a Senior Data Engineer to be a part of our growing Data team, responsible for working directly on the data pipelines and systems that create our Hungryroot Analytics data model used to inform financial decision making, product development, inventory management and more.

Collaborate with Product Managers, Product Operations and Dev teams to create actionable insights. Monitor product and feature release performance, define success metrics, and provide recommendations. Analyze market data and customer behavior to inform product strategy. Build data models, dashboards, and visualizations to drive actions and decision making.

As the Data and Analytics Lead, you will own and elevate Freshpaint's product data ecosystem, architecting and building a robust analytics platform from the ground up. This role involves transforming raw source data into actionable insights, serving as a bridge between business objectives and technical execution, and empowering data-driven decisions across the organization.

In this role on the data and analytics team, you will partner closely with business stakeholders to develop insights to support data-driven decision-making. The ideal candidate will have strong SQL skills, experience with data modeling and cloud data warehouses, and excellent communication skills to translate findings into recommendations.

Assist in the development and management of data products that drive insights and decision-making. Collaborate with stakeholders to understand business requirements and translate them into actionable product features. Work closely with data engineers and scientists to define data requirements and processing pipelines. Assist in the design and implementation of data products, ensuring they meet quality standards.