美国最新DATA岗位职位来袭
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| Strategic Data Analyst Intern |
| Job Type: Internship Location: San Francisco, CA |
| Responsibilities • Support Value Chain mapping with Principal Architect • Collaborate on Data Modeling with Data Architect • Develop Business Cases for Customer Energy Solutions • Identify driving data attributes • Develop data metrics and statistics Qualifications • Earning a Bachelor’s degree or Master’s degree in Engineering, Mathematics, Statistics, or Data Science, preferably with Data Architecture focus or job-related discipline or equivalent experience. Students must be continuing education towards degree during and/or after internship. • Knowledge of data model design philosophies and methodologies for data warehouse • Knowledge of statistical theories, concepts, methods, best practices, and analyses as needed to perform at the job level • Knowledge of relevant programming languages and tools – for example SQL (Oracle/Teradata), Python, R, Tableau, SAS – as needed to perform at the job level • Competency in developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences • Knowledge of TOGAF methods including data design for inbound and outbound logistics • Effective visual presentation of data with design for human perception • 3.0 GPA or greater in both cumulative GPA and major GPAAbility to work in a team environment and support fellow team members • Takes initiative and can work independently with minimal direction |
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| Data Science Intern |
| Job Type: Internship Location: Houston, TX |
| Responsibilities • Contribute to ongoing projects spanning the disciplines of data science, data engineering, and business intelligence • Construct data pipelines to support enterprise reporting & analytics • Data visualization & storytelling • Data mining and modeling to produce insights, predictions, and forecasts Qualifications • Currently enrolled in undergraduate or graduate degree program • Preferred majors include mathematics, computer science, and related quantitative disciplines • Experience/Minimum Requirements • Experience with programming and statistics (e.g. R, Python, SQL) • Experience developing data preparation workflows • Data visualization (e.g. ggplot2, matplotlib) |
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| Data Analyst |
| Job Type: Full-time Location: Seattle, WA |
| Responsibilities • Information expert with ability to understand & translate data into recommended actions. • Analyze, reconcile, and provide evaluation of extracted data. • Provide performance reporting of results against the organization’s critical metrics, weekly, monthly, quarterly and annually. • Build and augment analytical capabilities in: digital marketing, contact strategies, segmentation, lifetime value, member experience, and acquisition leveraging lessons learned and standard methodologies. • Assist with implementation of measurement tools and maintain tracking and data quality as inputs to measurement tools like multi touch attribution, customer lifecycle, lead scoring, etc. • Develop ad hoc analyses from start to finish: conceptualization, data gathering, analysis, presentation, and monitoring. • Cultivates effective working relationships with key internal business partners across the organization to create an environment of knowledge sharing! Qualifications • Bachelor’s degree in Finance, Mathematics, Statistics, or other quantitative field • Experience using advanced Microsoft Excel, SQL, and statistics programs • Passion for instructing skills and collaborating with team members across the company • Strong problem-solving skills • Attention to detail • Flexibility to work independently and in a team-based environment • Highly driven and motivated to work in a fast-paced, high-growth environment • Strong understanding of business strategy, preferably with experience in marketing analytics |
