Zencastr→
Data Analyst at Zencastr in San Francisco, CA
Skills
Job Description
About the Role
As a Data Analyst, you will partner cross-functionally across the organization to support thoughtful decision-making that strengthens our products and overall business performance. You will translate data into clear insights and actionable recommendations that help teams prioritize high-impact initiatives and measure what matters most.
In this role, you’ll serve as a trusted partner to stakeholders by defining and standardizing key business metrics, evaluating performance, and identifying opportunities to drive stronger outcomes. You’ll establish clear measurement frameworks that promote consistency, transparency, and alignment across teams.
You’ll play a central role in enabling effective decision-making by building dashboards, conducting deep-dive analyses, and ensuring data accuracy, integrity, and accessibility across the organization.
What You’ll Do
Analyze datasets to identify trends, patterns, and insights that inform business strategy
Build and maintain dashboards and reports to track key performance indicators (KPIs)
Partner cross-functionally with teams across the organization to define metrics, measure performance, and interpret data to drive decision-making.
Conduct ad hoc analyses to support decision-making across departments
Develop and maintain data models and queries to support reporting needs
Ensure data integrity and accuracy through validation and quality checks
Present findings clearly to both technical and non-technical stakeholders
You’re a Good Fit If You:
1 to 3+ years of experience in a data analyst or similar analytical role
Bachelor’s degree in a quantitative discipline (e.g., Finance, Economics, Mathematics, Statistics, or a closely related field).
Proficient in SQL and comfortable working with complex datasets
Experience building dashboards with BI tools (e.g., Tableau, Looker, Power BI, etc.)
Comfortable with Excel or Google Sheets at an advanced level
Experience with Python or R for data analysis (preferred but not required)
Translate complex data into clear insights and actionable recommendations
Detail-oriented, curious, and proactive in identifying opportunities
Communicate clearly and confidently with both technical and business audiences
Key Responsibilities:
Own reporting and dashboarding for core business metrics
Monitor performance metrics and proactively flag risks or opportunities
Support experimentation and A/B testing analysis
Standardize metric definitions and documentation
Deliver recurring and one-off analyses that influence business outcomes
Contribute to building a data-driven culture across the organization