Senior Data Analyst - Product Focus (Remote)
About the Role
Calendly is hiring a full-time Senior Data Analyst - Product to join our dynamic team. This Senior Data Analyst remote position offers the opportunity to work from anywhere in the USA while contributing to our product development and analytics initiatives. You will play a crucial role in shaping our product strategy through data-driven insights.
What You'll Do
- Analyze product performance metrics to inform product development decisions and enhance user experience.
- Collaborate with cross-functional teams to define key performance indicators (KPIs) and reporting frameworks.
- Utilize advanced statistical techniques and data visualization tools to present findings to stakeholders.
- Conduct A/B testing and user research to validate product features and improvements.
- Develop and maintain dashboards and reports to track product performance and user engagement.
Requirements
- 5+ years of experience as a Data Analyst, preferably in a product-focused role.
- Proficiency in SQL and data visualization tools such as Tableau or Power BI.
- Strong analytical skills with a solid understanding of statistical analysis and modeling.
- Experience with A/B testing methodologies and user research techniques.
- Excellent communication skills to convey complex data insights to non-technical stakeholders.
Nice to Have
- Experience in a SaaS environment.
- Familiarity with Python or R for data analysis.
- Knowledge of product management principles.
What We Offer
- Competitive salary range of $151,253 - $213,534.
- Flexible remote work environment.
- Comprehensive health benefits and wellness programs.
- Opportunities for professional development and growth.
- Collaborative and inclusive company culture.
This Senior Data Analyst role at Calendly offers a competitive salary, remote work flexibility, and opportunities for professional growth, making it an attractive position for experienced analysts.
Who Will Succeed Here
Proficiency in SQL and experience with data manipulation and querying large datasets, enabling the extraction of actionable insights from product performance metrics.
Strong experience with data visualization tools like Tableau and Power BI, showcasing the ability to create compelling dashboards that communicate complex data effectively to stakeholders.
A data-driven mindset with a background in statistical analysis and A/B testing, allowing for informed decision-making in product enhancements and strategy development.
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