最新2019DATA岗位职位来袭
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| Data Analyst |
| Job Type: Full-time Location: Portland, OR |
| Responsibilities • Collaborate with stakeholders to identify metrics to be tracked, provide easy-to-understand explanation of approach, obtain buy-in from stakeholders, and deliver high-value insights via reports and visual dashboards. • Identify and validate the appropriate technological solutions for various needs. May perform analysis for a wide range of requests using data in different formats and from various platforms. • Troubleshoot data integrity issues, analyze data for completeness to meet business needs, and propose solutions and recommendations. • Explore data to discover patterns, meaningful relationships, anomalies, and trends. • Maintain objectivity to ensure processes and products are relevant. • Make data-driven recommendations. • Articulately and concisely explain the implications of complex data. Qualifications • Bachelor’s Degree in related discipline or equivalent experience. • Minimum 2yrs industry experience in data modeling, analysis, and statistical concepts. • Passion for solving intricate business problems using various data analysis techniques. • Experience with visualization tools (Power BI, Tableau). • Knowledge of SQL, ETL and data cleansing. • Attention to detail and with strong data analysis and problem-solving skills. • Ability to function effectively both independently and within a team. • Excellent interpersonal and persuasive oral and written skills. |
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| Data Analyst |
| Job Type: Full-time Location: Baltimore, MD |
| Responsibilities • Provide quality assurance of reporting data. • Manage reporting users and user roles. • Maintain data processing rules. • Develop business reports and dashboards for operations, sales, and marketing users. • Generate reports from multiple systems. • Mine and analyze loan production data to inform business decisions. • Monitor analytical metrics and create automated alerts to trigger business response. • Implement new data analysis methodologies. • Train end users on new reports and dashboards. • Manage the reporting environment, including data sources, security, and metadata. • Support initiatives for data integrity and standardization. • Troubleshoot the reporting database environment and reports. Qualifications • Bachelor’s degree in quantitative field such as Mathematics, Statistics, Engineering, Econometrics, Business Intelligence, or related field required. • Proficient in SQL with experience in a RDMS such as MS SQL Server. • Experience with statistical software and programming preferred (R, SAS, Python, etc.). • 1+ years’ data mining experience. • Experience working within a common BI platform (e.g., Tableau, Domo, MS Power BI, Spotfire). • Ability to communicate with business to develop requirements for new reports. • Comfortable sharing reporting results with business users and training users to use reports. • Strong attention to detail. • Experience using MS Office Suite, with excellent knowledge of Excel. |
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| Sales/Data Analyst Intern |
| Job Type: Internship Location: Burlington, WI |
| Responsibilities • Taking a deep dive into Sales & Marketing data to help drive our strong customer-focus. Our interns learn about in-store research, customer interviews, and the development & execution of research projects through a variety of media and methods. • Use of Microsoft Excel, Word and PowerPoint to complete analyses or assist in customer presentations. Our Sales & Marketing department uses data to measure progress, performance, and future opportunities. You will leave our doors able to impress your friends and instructors with your level of Excel expertise! • Being a part of a fast-paced team atmosphere that values the contribution each member makes to the success of the organization. We support each other in our growth and development, and our interns are no exception. Qualifications • An ability to work 15 – 20 hours per week. • Working knowledge of Microsoft products, particularly Excel and Outlook. Able to demonstrate a high level of attention to detail when working through a project. |
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