Data Analyst role based on-site in Albuquerque, New Mexico, United States. We are seeking a highly skilled Data Analyst to collect, organize, and analyze data to provide valuable insights and support decision-making. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and the ability to communicate complex information to non-technical stakeholders. Responsibilities include developing and maintaining data collection systems and databases, identifying trends or patterns in complex data sets, creating visualizations and reports to communicate findings to non-technical stakeholders, collaborating with cross-functional teams to identify areas for improvement and make data-driven recommendations, ensuring data accuracy, completeness, and consistency, and staying up-to-date with industry trends and best practices in data analysis and reporting. Qualifications include a Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; strong analytical and problem-solving skills; proficiency in SQL and data visualization tools (e.g., Tableau, Power BI); experience with statistical analysis and predictive modeling; excellent communication and presentation skills; ability to work independently and in a team environment; attention to detail and ability to manage multiple projects simultaneously.

Data Analyst role based on-site in Albuquerque, New Mexico, United States. We are seeking a highly skilled Data Analyst to collect, organize, and analyze data to provide valuable insights and support decision-making. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and the ability to communicate complex information to non-technical stakeholders. Responsibilities include developing and maintaining data collection systems and databases, identifying trends or patterns in complex data sets, creating visualizations and reports to communicate findings to non-technical stakeholders, collaborating with cross-functional teams to identify areas for improvement and make data-driven recommendations, ensuring data accuracy, completeness, and consistency, and staying up-to-date with industry trends and best practices in data analysis and reporting. Qualifications include a Bachelor's degree in Mathematics, Statistics, Computer Science, or related field; strong analytical and problem-solving skills; proficiency in SQL and data visualization tools (e.g., Tableau, Power BI); experience with statistical analysis and predictive modeling; excellent communication and presentation skills; ability to work independently and in a team environment; attention to detail and ability to manage multiple projects simultaneously.