Middle Data Analyst

Responsibilities

• 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.
• Develop and implement data analyses, data collection systems, 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.
• Stay up-to-date with the latest industry trends and advancements in predictive analytics, ensuring our capabilities remain competitive and cutting-edge.

Qualifications

• A bachelor's or master's degree in a related field, such as data science, computer science, statistics, or mathematics.
• 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.
• Excellent problem-solving skills and ability to work independently, as well as in a team-oriented, collaborative environment.
• Strong communication and collaboration skills, with the ability to work effectively within a diverse, cross-functional team.
• Good set of Data engineering skills or familiarity with data processing pipelines.
• Proven experience in food or parcel delivery services.
• Familiarity with machine learning algorithms and techniques, and experience in implementing predictive models.

Benefits

• Global Vibes – Collaborate with a worldwide crew.
• Brain Boosters – Learning budgets, access to courses, and tools for your growth.
• Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.
• Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.