Solve complex business problems to deliver insights, own and evolve the data ecosystem, work with cross-functional teams to identify data needs, and contribute to strategic planning. Identify opportunities for process improvements and lead initiatives to increase operational accuracy and efficiency, and design and establish a company culture of rigorous, data-informed decision making.
The Senior Data Engineer is a critical technical leader in our modern data ecosystem, responsible for designing and delivering high-scale data solutions, mentoring junior engineers, and shaping the architectural backbone of our analytics infrastructure. This role balances execution with engineering excellence to support fast, reliable, and trustworthy data delivery, including designing integration architectures, developing reusable libraries, and implementing monitoring and testing systems.
This role involves developing, preparing, and maintaining data analytics projects and products that provide insights into the drivers of health outcomes. As a Healthcare Data Analyst, you will work closely with clinical research, product, and technology teams to build and maintain healthcare analytic tools that optimize health plan members' use of medical and prescription drugs.
Own the data infrastructure and unlock insights to drive decision making at Smalls. You will be a key partner to multiple departments within our organization - designing analytics frameworks, improving data quality, and increasing access to data and analysis tools to power both strategy and execution. You will own the data infrastructure fully from ideation through delivery, including scoping, building, and documenting methodologies, to ensure repeatability and clarity.
You are an experienced data analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review and summarized results for executive stakeholders. You will refine their needs into answerable questions, answer those questions, and work with them until they understand the implications.
The Fraud Intelligence team is the secret sauce behind Extend’s post-purchase protection platform, building cutting-edge analytics engines to detect and prevent fraud. This role involves analyzing large-scale data to uncover fraud signals, influencing business cases and pricing strategies, and responding to emerging fraud threats. A high-ownership position where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line!
Responsible for analytics and reporting used to drive the success of our Sales Department, you will own recurring performance reporting, which operates on a daily, weekly and monthly cadence, as well as contribute to ad hoc data analysis projects. Objective will be to streamline and automate our existing reporting, laying the groundwork for increased participation in ad hoc reporting and strategic initiatives.
As a Data Engineer, your primary responsibility is to design, build, and support modern data solutions using AWS by developing scalable ELT pipelines and data marts that serve both internal analytics teams and external reporting needs. In addition to building new solutions, you’ll also maintain and enhance legacy data pipelines that span both on-premises and cloud environments within a collaborative team.
The Data Analyst will work with teams (product, growth marketing, engineering, data science, CX and business owners, etc.) to measure, understand, and monitor key business metrics across our mobile apps and websites. The ideal candidate will be working with datasets across a variety of systems (SQL, Firebase,...). Deliver ad-hoc analysis with actionable insights, translate stakeholders’ priorities into dashboards and maintain data pipeline automation.
In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You’ll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams to translate complex data insights into practical, impactful tools for the clinical research community.