Senior Data Analyst / Analytics Engineer

The ideal candidate possesses 5-7 years of experience in data analysis, analytics engineering, or data science, preferably within a high-growth consumer fintech or investing platform. Expertise in SQL for data transformation, querying, and optimization is essential, along with familiarity with Python or another scripting language for data analysis and automation. A strong understanding of modern data architecture, including data lakes/warehouses and tools like dbt, Snowflake, Airflow, Fivetran, Looker, or Hightouch, is required. The role also demands strong business acumen, a focus on impact, excellent communication skills for collaborating with diverse stakeholders, and strong organizational abilities to manage multiple priorities in a fast-paced environment. Experience using AI/LLM tools for analytics workflows is a plus.