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Job Overview
We're looking for an experienced data analyst to join our analytics team. As a key member, you'll own analytics for sales and marketing, driving business growth through data-driven insights.
This role requires strong business acumen, a proactive mindset, and the ability to turn complex data into clear, actionable recommendations. Technical expertise is also crucial – particularly advanced SQL skills to access and work with data effectively.
About the Role- Collect, validate, and aggregate data from multiple sources, including databases, CRM tools, ad platforms, and tracking systems.
- Help set up and maintain reporting in Tableau, generating ad hoc reports as needed.
- Monitor business team performance and provide ongoing analytical support: discuss KPIs, help formulate and test hypotheses, organize A/B tests, and report on outcomes.
- Work closely with sales, marketing, management, and development teams to visualize and clearly communicate metrics and insights across different levels of complexity.
- Analyze sales and marketing funnels to identify trends and provide recommendations on offers, strategy, lead quality, and more.
Skillset Required:
- Solid understanding of data analysis principles; ability to turn data into insights and insights into business recommendations.
- Familiarity with product and marketing metrics (MAU, LTV, ARPU, CAC, retention rate, etc.) and funnel analysis.
- Strong SQL skills and good knowledge of statistics.
- Ability to visualize and present data to different audiences; experience with BI tools like Tableau is a plus.
- Good spoken and written English.
About You
You'll be successful in this role if you have 2-3+ years of experience as a data analyst, preferably in sales and marketing domains. Your ability to work independently, think critically, and communicate complex ideas simply will be highly valued.
What We Offer
We offer a dynamic and fast-paced work environment that's perfect for someone looking to grow their career. Our team is passionate about using data to drive business decisions and improve customer experiences.