Data Analyst
Zenius Corporation · Not specified · onsite · Posted 30d ago
About a minute. You'll make an account on the way through.
About this role
Seeking a Data Analyst / Data Scientist who can take full ownership of analytics across the business—creating a single source of truth, enabling smarter decision-making, and helping teams move faster with confidence.
In this role, you'll work closely with the founder, leadership, product, and marketing teams to ensure everyone has a clear, trusted view of how the business is performing across acquisition, product usage, retention, and revenue.
This is a hands-on, highly collaborative role for someone who enjoys building analytics foundations in a fast-moving startup environment and turning complex data into clear, actionable insights.
Responsibilities
- Own all business analytics, making sure metrics are well-defined and data is consistent.
- Design and manage dashboards that show key business, product, and growth results using BI tools.
- Set up and manage analytics tools to accurately track website and product usage.
- Study how users interact with the platform to identify growth opportunities and spot potential risks.
- Support A/B tests and experiments, analyzing how new features and campaigns perform.
- Ensure all business reporting is reliable and accurate.
- Continuously improve analytics processes as the business grows.
- Clearly communicate insights from data to all teams.
Requirements
- Strong SQL skills (complex joins, window functions, etc.).
- Experience working with GA4, BigQuery, and Stripe schema.
- Experience with Mixpanel, Looker Studio, or similar BI tools.
- Experience with SaaS metrics and revenue analysis.
- Skilled at analyzing datasets and presenting findings to non-technical teams.
- Excellent analytical, problem-solving, and communication skills
Nice to Have
- Experience with Python for data cleaning and analysis.
- Experience with SaaS metrics and revenue analysis.
- Interest in health, fitness or consumer technology.
Qualifications
- Bachelor's or Master's in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
- Minimum 2 years of hands-on experience with analytics tools.
Benefits
- 5 day work-week.
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