Descrição
About Gopuff
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Gopuff is redefining convenience for millions of customers worldwide by delivering instant gratification to their doorstep. Our mission is to empower individuals to reclaim their time through seamless, fast, and reliable delivery.
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We are seeking an accomplished Lead Data Intelligence Analyst to join our team in Lisbon, Portugal. As a key member of our data analytics team, you will be responsible for unlocking the power of data to drive business growth and innovation.
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- Key Responsibilities
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- Develop and maintain advanced data models using dbt to deliver transparent and insightful views into core business performance metrics.\
- Partner with cross-functional teams to translate data insights into actionable strategies that improve processes and drive measurable outcomes.\
- Conduct deep dives into company performance to identify areas for improvement and ensure KPIs align with overarching business objectives.\
- Analyze and enhance key performance metrics across customer acquisition, retention, and revenue generation to optimize business efficiency and elevate customer satisfaction.\
- Solve complex, real-world challenges by leveraging data to deliver practical solutions that enhance operational excellence and fuel company growth.\
- Present data insights in a clear and compelling manner to both technical and non-technical stakeholders, ensuring decisions are informed by robust analysis.\
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- Requirements
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- Proven data analytics expertise: 3-5 years of hands-on experience in data analytics, ideally in a fast-paced, high-growth e-commerce or retail environment.\
- Fluency in English: Exceptional communication skills enabling effective collaboration with global teams and presentation of complex data insights to diverse audiences.\
- Outstanding technical skills: Advanced proficiency in SQL, Python, Looker, and dbt, with a proven track record of querying large datasets, building complex reports, and developing scalable data models.\
- Mastery of data visualization and reporting tools: Deep familiarity with tools like Looker, Tableau, or Power BI, with a talent for transforming raw data into strategic insights and actionable recommendations.\
- Analytical problem-solver: A natural problem-solver with a passion for tackling complex business challenges, identifying opportunities for improvement, and delivering innovative, data-driven solutions.\
- High-performing and self-motivated: A self-starter who thrives in dynamic environments, consistently pushing boundaries to deliver excellence and make a tangible impact on the business.\
- Strong communicator: Ability to present data insights clearly and persuasively to both technical and non-technical stakeholders, including leadership.\
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