Help companies from around the world prevent and recover from cyber attacks by providing critical insights from our data. Play a major part in raising the bar as we continue our growth. Architect and build data pipelines in the cloud that are robust, scalable, and performant for products used by a growing global customer base.
As a Data Engineer on the Attribution & Insights team at Branch, you’ll play a pivotal role in designing, building, and operating components of our highly available, real-time data platform which ingests billions of events per day and delivers rich attribution analytics and insights to top global brands. You’ll work at the intersection of our MMP product stack and core data infrastructure, partnering closely with platform engineers.
Transform data into powerful stories that drive real-world results. Dig deep into complex datasets, uncover meaningful trends, and deliver strategic insights that directly shape business outcomes. As part of our dynamic Analytics Team, collaborate closely with clients to turn complex data into meaningful insights. Contribute to internal knowledge-sharing and support team growth through peer collaboration and training.
As a Technical Product Analyst you will analyze high level business requirements and translate them into technical specifications for our engineering team, collaborating with data, design, and engineering teams to drive consistent and scalable customer event and profile tracking. The analyst will monitor and analyze product experimentation to assess and quantify the impact of product and lifecycle marketing changes, reporting to the Director, Business Intelligence.
Lead a team of data professionals dedicated to supporting Revenue, Marketing, and Finance teams. You will oversee the business intelligence system, data analysis, and data strategy, playing a critical role in driving data-informed decision-making and fostering a culture of analytics excellence. Balance strategic vision with operational execution to empower stakeholders across the organization to achieve their goals through actionable insights!
The intern will contribute to building scalable data solutions that support CALSTART's mission while gaining hands-on experience in cloud-based data engineering and data science. This project will focus on creating a data lake environment, developing automated data pipelines, and designing powerful visualizations to gain insights into clean vehicle adoption, infrastructure planning, and sustainability efforts.
Reporting to the Senior Manager of Development and Operations, you will be an expert in designing and developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process. You will collaborate with Engineering teams to discover and use data being introduced into the environment.
Play a crucial role in driving the company metrics that empower the Inspiren team with the data-driven insights and recommendations needed to make informed decisions to optimize operations and facilitate performance improvement in a fast-paced, dynamic healthcare technology environment.
The Data Analyst will join the team responsible for managing and interpreting data to provide actionable insights to operations and product teams. The Data Analyst is responsible for developing, implementing, and maintaining analytic systems, conducting data analysis to derive business insights, and designing scalable data models and pipelines. This role also involves collaborating closely with stakeholders to prioritize business and information needs, and presenting data-driven recommendations.
AbbVie Clinical Data Strategy and Operations is a best-in-class team responsible for generating business value from clinical trials data through execution and innovation. This role ensures successful delivery of program- and study-level accountabilities, developing a deep understanding of clinical technology capabilities and data flow. Responsibilities include supporting technology delivery, tracking timelines, developing reports, collaborating with stakeholders, and maintaining technical knowledge of clinical data systems.