Data Analyst - #1108045

Key Accomplishments and Skills

• Data Management & Reporting: Own and maintain core datasets, ensuring
  accuracy, completeness, and consistency for business reporting.

• Automation & Dashboards: Build and maintain automated reports and dashboard
  to support both business and investor needs.

• Insight & Strategy: Identify key trends, patterns, and insights to inform business strategy and operational improvements.

• Cross-Functional Collaboration: Partner with teams such as Finance, Product,
  Marketing, and Operations to understand data requirements and deliver actionable insights.

• Data Quality & Integrity: Monitor and resolve inconsistencies in data quality across various systems to ensure reliable reporting.

• Performance Analysis: Provide timely analysis on business performance, user behavior, revenue trends, and other key metrics.

• Process Improvement: Develop and document data processes, definitions, and reporting standards to enhance efficiency and consistency.

• Stakeholder Communication: Present complex findings in a clear and compelling manner to stakeholders at all levels, supporting ad-hoc data investigations and reporting requests.

Key Qualifications & Requirements

• Education: Bachelor's degree in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering.

• Experience: 1-2 years of professional experience in a data analyst or data engineering role. We also welcome applications from career switchers with a demonstrated aptitude for data analysis.

Technical Skills:

• Proficiency in Python and SQL.

• Experience with at least one data visualization tool (e.g., Power BI, Tableau, Looker).

• Strong knowledge of Excel or Google Sheets.

Core Competencies:

• Exceptional problem-solving skills and meticulous attention to detail, with a strong commitment to data accuracy and reliability.

• Proven ability to work independently, manage multiple priorities, and thrive in a fast-paced environment.

• Excellent communication skills, with the ability to clearly and effectively present complex data findings to both technical and non-technical audiences.