Senior Data Analyst (US Remote)

As a Senior Data Analyst, you will play a critical role in driving data-based decision-making across the organization. You will be responsible for analyzing and interpreting complex data sets, designing and implementing data-driven strategies, and delivering actionable insights to stakeholders at all levels of the organization. You will work closely with cross-functional teams [AB1] to identify areas of opportunity and make recommendations that drive growth and optimize performance. The role contributes to The Bouq’s mission of revolutionizing the way we commemorate life’s moments by connecting people to beautifully designed floral experiences and the responsible partners who create them.

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
  
  
  

Qualifications:

• 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
  
  
  

Compensation & Perks:

• Competitive Base Salary Range of $110,000.00 - $130,000.00 USD + Equity Package
• Health, Dental & Vision with 100% employee coverage
• 401k Matching
• Three Weeks Paid Vacation
• Discounts on The World’s Best Flowers (obviously!)
  
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.