Location Remote
US RESIDENTS ONLY
We are seeking a highly analytical and detailoriented Data Analyst to join our team. The ideal candidate will be responsible for collecting processing and analyzing data to provide valuable insights that drive business decisions. They will work closely with various teams to identify trends create reports and develop datadriven strategies.
Key Responsibilities:
- Collect clean and interpret large datasets from multiple sources.
- Analyze data to identify patterns trends and insights that support business decisions.
- Develop and maintain dashboards reports and visualizations using BI tools.
- Collaborate with stakeholders to understand business needs and translate them into data solutions.
- Perform statistical analysis and predictive modeling to support strategic initiatives.
- Ensure data accuracy integrity and security in all analysis and reporting.
- Work with databases and query tools such as SQL to extract and manipulate data.
- Present findings and recommendations to management in a clear and concise manner.
Required Qualifications & Skills:
- Bachelors degree in Data Science Computer Science Statistics Mathematics or a related field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Strong proficiency in SQL Python R or other data analysis tools.
- Experience with data visualization tools such as Tableau Power BI or Looker.
- Knowledge of statistical methods and data modeling techniques.
- Excellent problemsolving and criticalthinking skills.
- Strong attention to detail and ability to work with large datasets.
- Effective communication and presentation skills.
Preferred Qualifications:
- Experience with machine learning predictive analytics or big data technologies.
- Familiarity with cloud platforms such as AWS Azure or Google Cloud.
- Understanding of business intelligence and reporting best practices.
Benefits:
- Competitive salary and performancebased bonuses.
- Health dental and vision insurance.
- Professional development and training opportunities.
- Flexible work arrangements and remote work options.