The company is seeking a Senior Data Analyst to drive data-driven decision-making across the organization.
Requirements
- Proficiency in SQL for querying and managing large datasets.
- Experience with data visualization tools such as Looker, Tableau, or Power BI.
- 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)
- Strong understanding of data modeling, statistical analysis and data visualization
Responsibilities
- Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
- 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.
Other
- Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
- Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners
- Strong problem-solving skills and a results-driven approach.
- Excellent time management skills and keen attention to detail.
- 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
- Master’s degree preferred
