Data Analyst Officer

Process and analyze data, and develop monitoring dashboards to support multiple divisions including Sales, Business, Marketing, Editorial, and HR

Collaborate with the Business & Marketing team to improve CTR performance and develop customer engagement strategies by analyzing customer behavior

Work closely with the Editorial team to enhance Page Views and Average Session Duration by evaluating content performance and providing data-driven recommendations (e.g., headline and content selection using time series analysis)

• Support the Sales team in driving revenue growth through data analysis and customer demographic segmentation using Google Analytics 4
• Identify and develop long-term data architecture strategies to enable effective data-driven decision-making and optimize customer experience
• Design, build, and maintain cloud-based big data platforms, including data components and services
• Automate end-to-end data pipelines to ensure datasets are accessible and ready for machine learning models and internal visualization tools

Collaborate with engineering and product teams to analyze data, generate reports for stakeholders, and contribute to improving product and content performance

Establish and promote best practices in data engineering and analytics for both technical and non-technical stakeholders

3+ years of industry experience in software development, data engineering, or analytics with track record of delivering large scale data platform

• Min. BS (S1) in Computer Science, Mathematics, or a related technical field or equivalent practical experience.
• Demonstrated strength in data modeling, data access, data storage strategies
• Experience with at least one of the following cloud platforms is a plus (e.g. AWS, GCP, or Azure)
• Background with distributed framework (e.g. Spark, Hadoop, Flink, Kafka Streams).
• Workflow management or data pipelines (e.g. Airflow, Luigi, Jenkins).

Experience with relational databases (e.g. MySQL), exposure to no-SQL appliances and a variety of databases (e.g. Dynamo, Elastic Search, Kafka, Hive, etc.)

• Experience in writing software for data extraction and transformation in one or more languages (e.g. Python, Scala, or Java)
• Good understanding of UNIX/LINUX environments