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    Job · 18639800

    FULLTIME

    Data Analyst

    Zenius English logo

    Zenius English

    Not specified · onsite · Posted 31d ago

    Sourced fromFoundit
    Not disclosed2–4 yrsfulltimeNot specified

    About a minute. You'll make an account on the way through.

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    Section · 01

    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.

    Qualificati​ons

    • 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.

    Sourced from foundit

    Section · 02

    Skills

    Stripe schemaRevenue AnalysisbigqueryMixpanelsaas metricsPythonSQLLookerGA4

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