Senior Data Analyst - Supply Product (Remote)
About the Role
SeatGeek is hiring a full-time Senior Data Analyst for our Supply Product team, working remotely from the USA. In this role, you will leverage your analytical skills to drive data-informed decisions that enhance our product offerings and improve user experience. As a Senior Data Analyst, you will play a crucial role in shaping the future of our supply product strategy.
What You'll Do
- Analyze large datasets to extract actionable insights that inform product decisions.
- Collaborate with cross-functional teams to define key performance indicators (KPIs) and metrics.
- Develop and maintain dashboards and reports to visualize data trends and performance.
- Utilize statistical analysis techniques to validate hypotheses and drive product improvements.
- Communicate findings effectively to stakeholders, ensuring data-driven decision-making.
Requirements
- 5+ years of experience as a Data Analyst, preferably in a product-focused role.
- Strong proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with statistical analysis and modeling techniques.
- Ability to translate complex data into clear insights for non-technical stakeholders.
- Excellent communication and collaboration skills.
Nice to Have
- Experience in the B2B SaaS industry.
- Familiarity with Python or R for data analysis.
- Knowledge of supply chain management or related fields.
What We Offer
- Competitive salary ranging from $108,000 to $157,000 annually.
- Flexible remote work environment.
- Comprehensive health benefits and wellness programs.
- Generous paid time off and holidays.
- Opportunities for professional development and growth.
This Senior Data Analyst position at SeatGeek offers a competitive salary and the opportunity to work remotely while driving impactful product decisions.
Who Will Succeed Here
Proficient in SQL with experience in optimizing complex queries to handle large datasets effectively, ensuring swift data retrieval and analysis.
Strong capability in data visualization tools such as Tableau or Power BI, allowing for the creation of insightful dashboards that communicate data trends to non-technical stakeholders.
Deep understanding of statistical analysis techniques and experience in using Python or R for predictive modeling, which helps in making data-driven decisions that enhance product strategies.
Learning Resources
Career Path
Market Overview
Skills & Requirements
Domain Trends
Industry News
Loading latest industry news...
Finding relevant articles from the last 6 months