Senior Data Analyst (US Remote)
110000 - 130000 USD per year
Company:
Location:US
Languages:English
Seniority level:Senior, 4+ years
Experience:4+ years
Skills:
SQLData AnalysisSnowflakeTableau
Requirements:
- 4+ years of experience in a data analysis role, preferably in an ecommerce or related field
- Bachelor's degree in a quantitative field such as statistics, mathematics, economics, or computer science
- Strong SQL fluency in both DDL/DML and analytics (Snowflake experience is a plus)
- Robust analytical and problem-solving skills with the ability to analyze and interpret complex data sets
- Experience pairing basic design principles with data visualizations tools (e.g. Tableau) to provide clear, easy to understand insights
- Excellent communication and presentation skills with the ability to convey technical concepts to non-technical stakeholders
- Able to take complex data findings, and simplify them to digestible, easy to understand information for our stakeholders
- Capable of working independently and collaboratively in a fast-paced, dynamic environment
- Able to make deliberate decisions on best execution strategy, while understanding and communicating tradeoffs, leading to streamlined, scalable solutions that satisfy technical, analytical, and stakeholder goals
- Understands that perfect is the enemy of good, and can produce valuable insights on imperfect data, allowing us to provide deliverables in a fast-paced, startup environment.
- Strong attention to detail with the ability to manage multiple projects simultaneously
- Knowledge and understanding of data infrastructure, including the relationship between backend engineering changes, data pipelines, data warehouse, and visual reporting tools
- Experience with Fivetran, GitHub, DBT, and Funnel.io is a plus
- Experience with JSON is a plus
Responsibilities:
- Develop and maintain a deep understanding of our business and the data that drives it
- Analyze and interpret complex data sets using statistical and visualization techniques through SQL and Tableau
- Partner cross-functionally with stakeholders to identify areas of opportunity, drive actionable metrics, and make recommendations that move the business forward
- Develop and maintain dashboards that provide stakeholders with actionable insights
- Conduct extensive investigates to research and resolve data issues
- Partner closely with the Analytics Engineer on optimal data structures to support existing and new business ventures
- Develop SQL that is both high-performance and easy for teammates to maintain, review, and enhance
- Build actionable and easy to digest visuals, while also ensuring that data can scale and point back to a single source of truth
- Develop and communicate strong opinions about best practices in analytics
- Stay up-to-date with industry trends and best practices in data analysis and visualization, while helping explore and evaluate new technologies
