3 big data jobs found

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....

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...