Data Analyst - Remote

Overview

We are seeking a highly motivated and detail-oriented Data Analyst to join our data-driven team. As a Data Analyst, you will play a crucial role in supporting data-related activities within our institution.

In Short

• Work from Home (WFH) - Remote work must be performed while residing in California or New Mexico.
• Collaborate with department leaders to collect, analyze, and present data insights.
• Perform data cleaning and transformation for accurate analysis.
• Automate data collection and reporting processes using SQL, Python, R, or related technologies.
• Create user-friendly charts, graphs, and dashboards using Power BI or Excel.
• Prepare regular and ad-hoc reports to support department leaders.
• Present findings to both technical and non-technical audiences.
• Adhere to compliance requirements for data management.
• Continuous learning and adaptation to new data analysis tools.
• Strong organizational and communication skills are essential.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, or Computer Science.
• Minimum of 2 years of experience in data analysis and reporting.
• Familiarity with data visualization tools, such as PowerBI or Tableau.
• Strong analytical skills and a passion for working with data.
• Proficient skills in MS Office, especially Excel.
• Ability to work collaboratively and manage multiple tasks effectively.
• Must maintain confidentiality and adhere to ethical standards.
• Flexible to work outside normal business hours as needed.
• Self-motivated with a strong work ethic.
• Demonstrated ability to anticipate needs and exercise independent judgment.

Benefits

• Work from home flexibility.
• Opportunities for professional development and growth.
• Supportive and inclusive work environment.
• Competitive salary based on experience and qualifications.
• Health and wellness benefits.
• Work-life balance emphasis.
• Collaborative team culture.
• Access to the latest data analysis tools and technologies.
• Commitment to diversity and inclusion.
• Employee recognition programs.