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Forge Global Group in Las Vegas, NV seeks a Data Analyst to analyze and interpret complex data, clean large datasets, identify trends, and create visualizations to guide business decisions. You will collaborate with cross-functional teams to ensure data accuracy and relevance, with a flexible remote work option.
A strong data background and proficiency in SQL and Excel are essential. Ideal candidates have 5+ years of data analysis experience, familiarity with Agile methodologies, and programming
Forge Global Group, a prominent financial services and technology company, is seeking a Data Analyst in Las Vegas, NV, for a full-time position. You will be instrumental in analyzing and interpreting complex data to support our business decisions.
Your daily tasks will involve cleaning and organizing large datasets, identifying trends and patterns, and creating visualizations to present findings. You will also collaborate with cross-functional teams to ensure data accuracy and relevance.
As a Data Analyst in our Las Vegas office, you will work in a dynamic environment, contributing to strategic initiatives that drive our company's growth.
This position offers an attractive compensation ranging from $95,000 to $137,003 per year, with benefits that include health insurance, retirement plans, and possibly other perks such as paid time off and professional development opportunities. The role involves managing a team of developers, coordinating with stakeholders to understand project requirements, and ensuring timely delivery of high-quality software solutions. The ideal candidate will have experience with Agile methodologies, proficiency in programming languages such as Java or Python, and familiarity with development tools like Git and JIRA. The workplace is a dynamic, fast-paced environment where innovation and collaboration are highly valued. The position requires a bachelor's degree in Computer Science or a related field, along with a minimum of 5 years of experience in software development.
To excel in this role, you should have a strong background in data analysis, proficiency in tools like SQL and Excel, and excellent problem-solving skills. A degree in data science, statistics, or a related field is preferred.
The workplace is flexible, allowing for remote work options, and candidates should be comfortable with digital communication tools such as email, video conferencing, and project management software. The role requires a strong understanding of industry standards and a commitment to continuous learning and professional development.