Top 3 reasons to join us

• Salary Review twice per year: April & October
• Macbook Pro and screen provided
• Great hours! 8:30 - 17:00 M-F and no overtime

Job description

• Work alongside Product, Marketing, and Sales to bridging the data gap by translating their needs into technical requirements, acting as a data controller to prepare the information, and ultimately building the data bridge for the development team to understand.
• Collect and analyze data from multiple sources to fulfill requests

• Request ETL (Extract, Transform, Load) processes from the data warehouse as per the teams' requirements
• Ensure data integrity and accuracy during the ETL process
• Provide support for ETL processes using Python scripting to automate data extraction and transformation tasks

• Develop and construct reports and/or dashboard based on the business requests
• Utilize available data to provide meaningful insights and recommendations

• Maintain and optimize databases to ensure data is easily accessible and efficiently processed
• Design, implement, and manage data storage solutions to support the needs of the organization
• Ensure data consistency, accuracy, and security across all databases and data sources

• Prototype, architect, and build tools to automate and/or scale data processes and business processes
• Collaborate with development teams to integrate data-driven tools into existing systems

• Directly to the CEO

Your skills and experience

• Bachelor’s degree in Mathematics or Economics or Computer Science or Information Management or Statistics
• Proven experience as a Data Analyst or similar role at least 3 years. Having working experience in e-commerce, booking/listing, and exchange network products is a plus.
• Proficient in writing queries for databases such as Postgre SQL and Big Query to extract and manipulate data efficiently
• Expertise in transforming data into clear and concise stories through compelling visualizations and reports, using tools to build visually appealing and insightful reports to effectively communicate insights to stakeholders.
• Strong analytical and problem-solving skills
• Simple and clear documentation ability
• Excellent communication and collaboration abilities
• Attention to detail and ability to work in a fast
• Strong proficiency in Python programming language for data manipulation, analysis, and automation tasks
• Strong expertise in libraries such as pandas for efficient data manipulation, Num Py for numerical computing, and Apache Spark for big data processing and advanced analytics
• Strong expertise in applying best practices for cleaning and structuring data to ensure its reliability and suitability for reporting purposes

Why you'll love working here

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