Top Data & Analytics Jobs
As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.
The role involves developing analytical methods for mRNA, gRNA, pDNA, and mAb platforms, ensuring compliance with regulatory guidelines, collaborating with cross-functional teams, and authoring development reports and protocols. Responsibilities include supporting method transfer and training junior team members.
The Senior Data Analytics Developer at Avetta will transform raw data into insights, model and enhance data pipelines, design dashboards, and communicate findings effectively. The role requires collaboration with product teams and stakeholders to deliver strategic analytics solutions and manage project execution in an agile environment.
Featured Jobs
As a Senior Data Engineer, you will develop and maintain Underdog’s reporting layer using DBT and BigQuery, collaborating with cross-functional teams to design scalable reporting models. You will ensure data integrity, maintain documentation, assist in analytics dataset development, and manage tasks using Jira while looking for continuous improvements.
As a Data Scientist at Epic Games, you will leverage statistical and machine learning methods to analyze gameplay data, creating insights and predictive models to influence game development and business strategy. You will collaborate with design and product teams, ensuring high-quality data is captured and utilized effectively for continuous improvement in First Party Games.
Senior Data Scientist role at Pilot Company, responsible for solving complex business problems through data analysis, modeling, and experimental design. Collaborate with stakeholders to identify opportunities for data science solutions that drive commercial value. Master's degree in statistics, econometrics, or data science required, along with 5-7 years of industry experience. Proficiency in Python, R, SQL, and machine learning is essential.
The Business Analyst + Quality Assurance role involves understanding business processes, gathering requirements, creating specifications, and executing QA activities. This client-facing position works closely with development leads to divide projects into sprints and ensure deliverables meet client expectations, primarily focusing on manual and regression testing with potential for automated testing in the future.
The Senior Software Engineer, Big Data, is responsible for building data processing and exploration pipelines, developing ML infrastructure, and taking part in the full life cycle of applications at scale. The role requires a strong understanding of big data technologies and involves collaborating across functional teams to create effective data-driven applications.
The Scientist III will develop novel immunoassays on the Genalyte Maverick platform, analyze data for improvements, troubleshoot issues, document results, and work with a multidisciplinary team while ensuring compliance with quality systems. This role requires directing teams and mentoring less experienced staff.
The Senior Data Engineer will design, implement, and optimize scalable data analytics infrastructure. Key responsibilities include developing data pipelines, maintaining data quality, supporting analytics through modeling, creating dashboards, and collaborating with various teams to enhance data-driven decision-making processes.
Top Companies Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
