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.
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!
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.
Seeking a highly skilled and experienced Senior Data Engineer to lead the development and management of our data platform. This pivotal role will focus on supporting critical data needs and developing foundational data models that are essential for advancing our cross-border remittances business. Managing users, scaling compute resources, and ensuring the platform operates optimally and efficiently will be key components of this role.
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.
Develop and maintain scalable data pipelines using Scala and Apache Spark, focusing on performance and reuse. Structure and evolve the medallion architecture (bronze, silver, gold), ensuring governance, traceability, and data quality. Implement solutions for data ingestion, transformation, and delivery in cloud and lakehouse environments. Define and apply data engineering best practices, including versioning, automated testing, and CI/CD.
Transform terabytes of data into actionable insights as an Analytics Engineer on Kraken's Data Platform team, enabling us to stay ahead in the ever-evolving cryptocurrency landscape. You’ll work on Finance data, building data products for various Finance and analytics teams, and that’s where your Finance background and expertise, alongside with Analytics Engineering skills will help us succeed!
Play a critical role in the foundation model development process, focusing on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimization. Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data. Watch out for the release of public dataset on huggingface and other platforms.