6 analytics jobs found

Purdue University’s College of Engineering seeks an accomplished and strategic leader to serve as the Director of Data Analytics and Information. This key position supports the Dean, Cabinet, and Engineering Leadership Team in leveraging data to guide decisions, measure impact, and shape the future of one of the world’s leading engineering colleges. The Director will oversee a collaborative and high-performing team that drives data-informed strategies across areas such as student success, faculty and graduate development, research performance, entrepreneurship, tech transfer, and college reputation management. Working closely with the Dean’s Office, this role ensures that complex and dynamic institutional priorities are supported with sound analytics, meaningful insights, and actionable intelligence. What You’ll Do Partner with the Dean and Executive Cabinet to identify priorities, analyze institutional data, and develop proposals and...

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...

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...

Land, Buildings & Real Estate (LBRE) is the operational core of Stanford University’s physical campus. LBRE constructs and maintains the Stanford campus, where advancements across the academic spectrum are made possible. Our work is founded upon the collective value of dedication, innovation, expertise, teamwork, and continuous improvement. We are committed to serving the university’s academic mission, as well as preserving and enhancing Stanford’s 8,180 acres, and pride ourselves on supporting the teaching and research of the university as “Caretakers of a Legacy." Position Summary: The role will work with an experienced Data Architect and Senior Software engineer to support implementation and deployment of various solutions Involving data along with creating the maintenance documents. The role will involve data analysis, Data Visualization and testing. This will also include Executing all programming tasks, including...