We are seeking a detail-oriented and analytical Data Analyst to join our team. The successful candidate will be responsible for transforming raw data into actionable insights, supporting data-driven decision-making across the organization. This role requires proficiency in SQL, BigQuery, Python, and data visualization tools, with a robust ability to work with large datasets and communicate findings to stakeholders.
Key Responsibilities
Extract, transform, and load (ETL) data from multiple sources using SQL and BigQuery
Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large datasets
Create and maintain dashboards and reports in Looker to visualize key metrics and KPIs
Develop Python scripts for data cleaning, analysis, and automation of repetitive tasks
Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions
Present findings and recommendations to stakeholders in a clear and actionable manner
Ensure data quality and integrity across all analyses and reporting
Skill Requirements
Expertise in SQL with ability to write complex queries for data extraction and manipulation
Strong hands-on experience with BigQuery for large-scale data analysis and optimization
Proficiency in Looker for creating dashboards, reports, and data visualizations
Experience using Python for data analysis, including libraries such as Pandas, NumPy, and Matplotlib
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field (or equivalent experience)
Strong analytical and problem-solving skills
Excellent communication skills and ability to present complex data insights to non-technical stakeholders
Attention to detail and commitment to data accuracy