Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions
Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually
Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis
Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization
Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources
Utilize advanced statistical techniques and leverage machine learning models to solve business challenges
Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes
Mentor and guide junior analysts, fostering a data-driven culture within the organization
Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence
Quickly familiarize yourself with new datasets and efficiently provide valuable insights

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
5+ years of experience in analytics, data management, business intelligence or a related field
Proficiency in SQL for querying and managing large datasets
Experience with data visualization tools such as Looker, Tableau, or Power BI
Strong understanding of data modeling, statistical analysis and data visualization
Proficiency in programming languages such as Python (preferred) or R for data analysis and automation
Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)
Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.

Senior Data Analyst

Key skills