美国最新DATA岗位职位来袭
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1
Data Analyst Intern |
Job Type: Internship Location: Attleboro, MA |
Responsibilities • Proactively audit, uncover, and resolve data integrity issues in Salesforce.com • Interpret data, analyze results, and make recommendations on how to improve usage of CRM and Digital Marketing • Identify trends or patterns in complex data sets • Filter and clean data for various business functions • Review and assess current state to identify and recommend improvement opportunities • Design and create global Reports / Dashboards in Salesforce and Sensata.com in accordance with corporate goals • Locate and define new process improvement opportunities • Present weekly progress to team Qualifications • Working towards Bachelor degree in Analytics or MIS • Fluent in spoken and written English • Ability to work independently in a fast-paced environment • Self-motivated and able to grasp concepts quickly • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Experience with a CRM is a plus • Proficient in Microsoft Office Suite (Word, Excel, PowerPoint) |
2
Data Analytics Intern |
Job Type: Internship Location: Raleigh, NC |
Responsibilities • Assist in Day-today operations • Assist in Development and QA of New Product Releases and Enhancements • Provide thoughtful ideas and input on projects in progress Qualifications • Knowledge of the Financial Services industry is preferred • Knowledge of Development processes id preferred • Experience with SQL or .net is preferred • Enrolled in an accredited College/University |
3
Data Analyst |
Job Type: Full-time Location: Irving, TX |
Responsibilities • Technically able to understand and create complex ETL processes. • Work hand-in-hand with client • Effectively utilizes programming tools and applications (SQL, ETL, and Oracle). • Plays a role in thought leadership and uses strong consultative skills. • Monitors quality control on deliverables prior to client distribution. Ensures the client team is following quality control procedures as applicable • Based on business requirements, contributes to detailed technical requirements and specifications; identifies missing details in the business requirements and engages the appropriate resource(s) for clarification. • Become an internal expert in ETL, CDI and complex Datamart Build services for campaign, reporting and analytics processes. • Develops mapping and data processing procedures to import data from various data sources and populate the client database. • Demonstrates knowledge of the data model and the data, to provide insights and recommendations. • Develops data extracts and procedures to support internal and client (external) business analytics. • Actively involved in troubleshooting data / data process anomalies and works with the team to efficiently identify solutions. • Coordinates with cross-competency teams to ensure quality deliverables. • Consistently follow best practices and standards defined by the team / organization. • Contributes to the project estimation process. • Multitasks through project execution and prioritizes accordingly, ensuring project deadlines are met and deliverables are completed in a timely fashion. • Assists with the transition from project completion to ongoing production and production support • Communicates requirements and status with other teams and competencies, as required on an ongoing basis. Qualifications • Bachelor’s Degree in a plus • 2 years technical experience in a data management role utilizing SQL and ETL tools • Consultative approach to data management and able to make CDI recommendations to the client. • Knowledge of direct mail and email marketing • Marketing and business knowledge – not just technical view • Knowledge of marketing Database structures • Primary point-of-contact for problem escalation and resolution for data management functions • Development Tools/Platforms • Proficiency with Informatica, or similar enterprise ETL tool experience • Strong SQL, PL/SQL skills • Knowledge of UNIX/LINUX experience • Shell scripting experience (KSH, Bash, Perl, Python, etc.) is a plus • Exposure to enterprise databases required |
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