最新2019DATA岗位职位来袭
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| Data Analyst Intern |
| Job Type: Internship Location: Phoenix, Arizona | San Antonio, Texas |
| Responsibilities • Performs professional duties in support of operations for the functional area assigned • Applies foundational functional knowledge to produce work deliverables in support of departmental initiatives • Manages limited departmental projects and/or participates as a project resource on larger initiatives • Identifies opportunities and facilitates basic improvements to processes and systems • Performs routine tasks under direct supervision and within established procedures and guidelines • May interact with clients for technical requests to understand requirements and limitations in different phases of project life cycle to include research, testing and implementation Qualifications • Pursuing a bachelor’s degree or higher in Data & Analytics, Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline at a 4-year accredited university • Graduation date cannot be prior to the end of the internship • 0 to 2 years of related experience and accountability for simple to moderately complex tasks and/or projects required • Foundational and conceptual knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required • Foundational level of business acumen in the areas of the business operations, industry practices and emerging trends required |
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| DATA ANALYST INTERNSHIP |
| Job Type: Internship Location: Cincinnati, OH |
| Responsibilities • Delivering analytic insights in several business domains including consumer, customer, digital, market & share performance. With a combination of analytical expertise, data and system knowledge and business insight, you’ll answer and anticipate critical business questions and opportunities and deliver critical insights to the business in ways that make significant impacts. • Building analytic capabilities to grow your organization’s knowledge. • Developing in-depth business, analytical, and systems knowledge to improve/build analytical solutions, approaches and business recommendations. • Demonstrating data visualization (Power BI, Tableau, Excel), and analytic tools (R, SAS, JMP, Python, Spark) to grasp the business insights from our mountain of data • Collaborate with multi-functional teams (Consumer Research, Finance, Marketing, IT, Sales) Qualifications • A technical leader with strong academic results and have 1 summer before graduating with a Bachelor or Master’s Degree in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Economics, Statistics, Analytics (or related degree) • Have experience conducting quantitative and qualitative analysis with analytics techniques to solve defined business problems • Have strong social skills and the ability to communicate and influence agreement to your recommendations • Have experience telling stories and selling with data and insights • Are self-motivated to work with diverse business scenarios, handling multiple priorities and have a business & consultancy mind-set, while technically (data) savvy • Have a passion for discovering new things and ability to learn quickly • Are available during the Summer of 2020 between mid/late May through early August. |
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| data analyst |
| Job Type: Full-time Location: Minneapolis, MN |
| Responsibilities • Actively exploring data and sourcing for specific use cases • Joining and creating measurable insights from the data to be shared • Developing metrics, reports, and statistics • Documenting calculations, code, and adhering to data management principles • Validating and testing data assets of others in the form of peer review • Exploring statistical analysis that could be applied to the data • Performing descriptive statistics including mean, variance, median, correlation • Applies insights and testing in partnership with business users • Active participant in team meetings • Support agile ceremonies Qualifications • BA/BS or equivalent experience • 1-3 years total work experience • Strong SQL experience • Strong attention to detail, excellent diagnostic and problem-solving skills • Excellent communication, service orientation and strong relationship building skills • Competent and curious to ask questions and learn to fill gaps, desire to teach and learn • Working knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS) • Advanced proficiency in at least 1 visualization tool (i.e. Tableau, Domo, Power BI) with ability to learn additional visualizations tools • Stays current with new and evolving technologies via formal training and self-directed education |
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