Job Description
We are urgently hiring a Data Analyst to join our dynamic team in New York City with remote options available for qualified candidates. This is an immediate hire opportunity for a full-time position with a competitive salary and benefits package. If you are a data-driven professional looking to make an immediate impact, we encourage you to apply today.
About the Role: As a Data Analyst, you will be responsible for collecting, processing, and performing statistical analysis on large datasets. You will collaborate with cross-functional teams to provide actionable insights that drive business decisions. This role offers the flexibility of remote work, with a preference for candidates located in New York, but we are open to remote candidates in California and other states.
Why Join Us? We are a fast-growing company with a culture of innovation and collaboration. You will have the opportunity to work with cutting-edge technologies and make a significant impact on our business.
Responsibilities
- Collect, clean, and analyze large datasets to identify trends and patterns.
- Develop and maintain dashboards and reports using tools such as Tableau, Power BI, or Excel.
- Collaborate with stakeholders to understand business requirements and translate them into data solutions.
- Perform ad-hoc data analysis and provide insights to support decision-making.
- Monitor and track key performance indicators (KPIs) and report on performance metrics.
- Ensure data quality and integrity through regular audits and validation processes.
- Present findings to management and other stakeholders in clear and concise reports.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- 3+ years of experience as a Data Analyst or in a similar role.
- Proficiency in SQL and experience with relational databases.
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Excel).
- Experience with programming languages such as Python or R for data analysis.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to present complex data to non-technical audiences.
- Experience working in a remote or hybrid environment is a plus.