6 analytics jobs found

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years work experience and a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for...

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. Ability to select the most appropriate statistical tools for a given data analysis problem, paired with outstanding written and verbal communication....

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: PhD degree in Statistics, Math, Computer Science, Engineering, or related quantitative fields or Master's degree with 3 years of experience in quantitative areas. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Experience in experiments (e.g., design of experiments, experiment logging, multiple hypothesis testing, causal inference). Experience working in a development lifecycle, defining requirements, checking in code, testing, staging, production. Ability to...

Are you looking to be part of something big? Radical innovations begin with small, impactful steps. Take your next step with the Dunn Lab, the distinguished team of Dr. Erin C. Dunn (www.thedunnlab.com), as we prepare for our next giant leap: discovering the causes of mental illness and creating roadmaps for prevention. The Opportunity: Senior Data Analyst, Epigenetics The Data Analyst will be responsible for projects focusing on genetic and epigenetic analyses, working on a multi-disciplinary team under the direct supervision of principal investigator Dr. Dunn. The Data Analyst will work with multiple types of data, especially longitudinal survey and biological data from large birth cohort studies across the globe that have followed participants for decades. The successful candidate will also work closely alongside Dunn Lab team members, especially post-doctoral research fellows, in a mentorship capacity to help them drive forward their analyses. This position is an...

The Marketing Data Engineer will assist the Director of  Marketing Analytics in advancing the quality, quantity and variety of analytics offerings at Parallel Path. This role is responsible for the overall data foundation that all reporting and insights will be built on. This starts with the tracking of all critical data through custom tagging clients websites. The role will be responsible for optimizing the Parallel Path data warehouse to collect and organize this data across a variety of automated and manual data sources. A strong working knowledge of SQL and Python will be needed to ensure data is organized and flowing through to dashboards efficiently and accurately. The ability to visualize data within dashboards will be the final stage of primary responsibility in this role. Primary Responsibilities - Assisting Director of Marketing Analytics with: Data Warehouse Maintenance: Jointly manage the design, stability and cost of Big Query data warehouse along with...

The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include*: Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in...