Junior Data Analyst

About the Role

AQUARRIL | Servicios Profesionales SP Ltda is seeking a part-time, remote Junior Data Analyst to contribute to data-informed strategies for various projects and clients. This entry-level position involves managing data from collection to validation, ensuring its integrity. You will be responsible for creating fundamental reports and dashboards, executing queries, and summarizing analytical findings for internal teams and stakeholders. The role also supports the identification of trends, detection of anomalies, and routine data quality assurance.

Collaboration with senior analysts and project managers is key to translating business inquiries into actionable metrics and clear analytical outcomes. This is an excellent opportunity for individuals eager to develop their skills in a supportive, remote environment.

Responsibilities

• Gathering, cleaning, and validating data from diverse sources to ensure accuracy and consistency.
• Developing basic reports and interactive dashboards to visualize data.
• Executing queries to extract and analyze specific data sets.
• Preparing concise summaries and presentations of analytical findings.
• Assisting in the identification of emerging trends and data anomalies.
• Conducting routine data quality checks and contributing to data integrity efforts.
• Collaborating with senior team members to define metrics and analytical approaches.
• Translating business questions into measurable data points and analytical outputs.

Qualifications

• Demonstrated analytical aptitude and foundational data analysis skills for interpreting datasets and generating insights.
• A solid grasp of statistical principles and basic data modeling concepts.
• Effective written and verbal communication abilities for presenting findings and collaborating with diverse teams.
• Proficiency in spreadsheet software like Excel or Google Sheets.
• Introductory experience with data tools or programming languages such as SQL, Python, or R is advantageous.
• Self-management skills for effective time management and task prioritization in a remote setting.
• A keen sense of curiosity and a proactive approach to learning new technologies and methodologies.
• Openness to receiving feedback and engaging in mentorship.

Additional Information

Preferred candidates will have relevant coursework or a degree in Data Analytics, Statistics, Computer Science, Engineering, Economics, or a related field. Prior internship or project experience in data analysis is considered a significant advantage.