Looking for Data Analyst (Onsite) at Remote, Remote, USA |
Email: [email protected] |
Hello all, Please help me with the suitable resume for the below role (no h1B) Job Title: Data Analyst (Onsite) Location : local to Virginia Job type : long term contract Job Description: Position Overview: We are seeking a skilled data analyst to join our team. The ideal candidate will have a strong aptitude for analyzing complex datasets, deriving actionable insights, and communicating findings effectively to stakeholders. The data analyst will collaborate with various teams across the organization to identify trends, patterns, and opportunities for improvement. Responsibilities: Collect, clean, and preprocess data from various sources. Analyze large datasets to identify trends, patterns, and correlations. Develop and maintain data models, algorithms, and statistical analyses. Create insightful reports and visualizations to communicate findings to stakeholders. Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. Continuously monitor data quality and integrity to ensure accuracy and reliability. Identify opportunities for process improvement and optimization through data analysis. Stay updated on industry trends and best practices in data analysis and visualization techniques. Provide training and support to team members on data analysis tools and techniques. Qualifications: Bachelor's degree in statistics, mathematics, computer science, economics, or a related field. Master's degree preferred. Proven experience as a data analyst or in a similar role. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Strong analytical and problem-solving skills with the ability to work with large datasets. Experience with data visualization tools such as Tableau, Power BI, or matplotlib. Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders. Attention to detail and ability to work independently as well as part of a team. Knowledge of statistical methods and techniques for hypothesis testing, regression analysis, and machine learning algorithms is a plus. Experience with data cleaning, transformation, and manipulation techniques. Ability to adapt to fast-paced environments and manage multiple projects simultaneously. Thanks & Regards Shiva Sr. Resource Executive VST Consulting, Inc. 200 Middlesex Essex Tpke, Suite 201, Iselin, NJ 08830 Email: [email protected] Desk No: 732-623-9152 |Fax: 732-404-0045 Extension: 136 VST Consulting, Inc Certified Minority Business Enterprise www.vstconsulting.com http://www.inc.com/inc5000/profile/vst-consulting Company 2008/2009/2010/2011/2012/2013 Ranked #24in NJ Finest for 2008. -- Keywords: business intelligence rlang information technology New Jersey |
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Sat Mar 23 01:54:00 UTC 2024 |