Purpose of the role
As a Data Analyst, you will have the opportunity to develop remarkable and transformative products. Your role will involve designing and developing company applications, as well as coordinating with a team of data developers to deliver high-quality software technologies and systems. Working with vast volumes of data, you will gain extensive knowledge across different domains and functions within the logistics business, products, and operations. Your technical expertise will contribute to the decision-making process for business and product strategies, allowing you to actively contribute to the creation of exceptional technology products. This position presents a challenging yet highly rewarding opportunity to enhance your experience within a fast-paced product startup. Join us in revolutionizing the logistics industry with your skills, abilities, and passion for technology.
What will you do
- Manage master data, including creation, updates, and deletion.
- Interpret data, analyze results using statistical techniques, and provide important ongoing reports about customer behavior, usage patterns, and other business metrics.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and ways we can creatively experiment with our platform.
- Identify patterns and trends in data sets. Collaborate with the data team to identify and revise report requirements and evolve key performance metrics.
- Ensure quality assurance by assessing the effectiveness and accuracy of data tables in our Data Warehouse.
- Utilize DBT (Data Build Tool) to create and maintain efficient data transformation pipelines.
- Work with other team members to implement, integrate, and optimize our existing systems.
- Serve as an advocate of our data-driven culture.
Requirements:
- Bachelor's degree in Mathematics, Computer Science, Economics, or Statistics.
- Minimum of 2-year experience as a Data Analyst or Business Analyst.
- Minimum of 2-year experience with BI tools such as Google Looker Studio, Power BI, etc.
- More than 1-year experience in scripting with PostgreSQL, BigQuery. Python experience is a plus.
- Strong verbal and written communication skills (English).
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Possess logical thinking, be detail-oriented, and have strong organizational skills. Ability to multi-task with different departments and work independently under tight deadlines.
- Competency in handling large data sets and relational databases.
- Experience with DBT (Data Build Tool) for data transformation pipelines is a huge plus.
- Willingness to learn new technologies and solve problems using cutting-edge tools.
- Understanding of ETL frameworks and ETL tools.
- Experience working with distributed systems is a huge plus.
- Familiarity with analytics platforms like Google Analytics, Appsflyer, etc., is a great advantage.
