Senior Data Analyst

In this position, you will be working and collaborating with data scientists, backend engineers, researchers, product engineers and business teams in a cross functional setting. Your core functions as a Senior Data Analyst are to interpret complex data, provide actionable insights to drive business decisions. Responsibilities include data collection, statistical analysis, and reporting, ensuring data integrity, and developing data driven strategies.

• Collaborate with a cross functional team of engineers, data scientists, business teams and product managers to implement technical solutions that meet business needs and ensure robustness, scalability, and reliability.
• Analyze and interpret complex data sets using statistical techniques and provide stakeholder insights.
• Design and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.
• Identify trends and patterns in complex data sets and provide actionable recommendations to stakeholders.
• Create and maintain dashboards and visualizations for data driven decision making.
• Work closely with cross functional teams to identify and solve complex business problems using data analysis.
• Participate in technical interviews to evaluate candidates' technical skills.
• Stay up to date with the latest industry trends and advancements in predictive analytics, ensuring capabilities remain competitive and cutting edge.
• Point out areas of opportunity and guide teams in designing complex features.
• Mentor junior analysts and foster a collaborative development environment.

• A bachelor's or master's degree in a related field, such as data science, computer science, statistics, or mathematics.
• At least 5 years of experience in product analysis and manipulation, preferably in a senior or lead role.
• Strong proficiency in SQL, Python, and/or R, as well as experience with data visualization tools such as Tableau or Power BI.
• Excellent analytical and problem solving skills, with the ability to extract insights from complex and large data sets.
• Effective communication skills, with the ability to clearly explain insights and recommendations to non technical stakeholders.
• Strong attention to detail and accuracy, with the ability to identify and correct errors in data.
• Demonstrated ability to work independently, prioritize tasks, and meet deadlines in a fast paced environment.
• Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross functional team.

• Demonstrated causal analytics skills or full understanding of causality.
• Good set of data engineering skills or familiarity with data processing pipelines.
• Proven experience in food or parcel delivery services.
• Experience with modeling, analyzing, and explaining unit economics at the transaction level, and aggregating it reliably across time, cohorts, and dimensions.
• Familiarity with machine learning algorithms and techniques, and experience in implementing predictive models.

• Global Vibes - collaborate with a worldwide crew.
• Brain Boosters - learning budgets, access to courses, and tools for your growth.
• Builder's Playground - own your tasks, own your path! We're big on autonomy.
• Flexible Time Off - generous leave and wellness policies.
• Agile Everything - Scrum isn't a buzzword here. It's how we roll, from product to ops.