Senior Data Analyst

Responsibilities

• Partner with Product Owners and Data Teams across marketing, billing, and product domains.
• Create new dashboards, maintain and improve existing reports such as Product Reports.
• User behavior analysis, aha moment analysis.
• Analyse data to generate actionable insights, find trends, patterns and provide recommendations to maximize KPIs.
• Design and conduct A/B tests and homogeneity tests to validate hypotheses and measure impact.
• Monitor metrics across all domains.
• Design and build robust data models in SQL.
• Give and receive actionable feedback to and from peers and the Leadership Team.
• Degree in an analytical field such as Math, Data Science or Economics.
• At least 3+ years of work experience as a Data Analyst.
• Strong analytical and problem-solving skills, with the ability to identify trends, patterns, and insights in large datasets.
• Excellent verbal communication.
• Ability to think strategically and make data-driven decisions that align with the organisation's goals.
• Experience in Product Analytics.
• Experience with Mixpanel, GA4, Amplitude or similar.
• Advanced SQL.
• Experience with popular BI tools such as Tableau, Looker, or similar.
• Experience in subscription business.
• Ability to adapt quickly, learn new tools and methods efficiently, and work effectively in a high-pressure, fast-changing environment.

Additional Information

Ruby Labs is a tech company with a portfolio of consumer products in health, education, and entertainment (100M+ annual users). Join us as a Senior Data Analyst and become a key part of our fast-paced, rapidly growing team working on a new product - a job application platform that streamlines the hiring journey for professionals. In this role, you'll collect, categorize, and analyze data to create actionable reports that drive decision-making across the company. You'll uncover insights, identify growth opportunities, establish key benchmarks, and ensure we deliver a product that truly satisfies our customers' needs. We expect you to take full ownership of data pipelines, analytics, and insights, ensuring every decision is backed by reliable data. You'll work in a professional and dynamic environment where accuracy matters, constantly validating that our data is meaningful and actionable.

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