Senior Data Analyst

Bachelor’s degree (or higher) in Information Technology, Software Engineering, or a related field. Minimum of 3 years of experience in a data analysis role, preferably within technology companies, digital platforms, or OTT businesses. Hands-on experience working with big data in cloud and distributed system environments. Proficient in SQL (Trino, BigQuery, PostgreSQL) and Python (pandas, numpy, seaborn/matplotlib). Practical experience with PySpark for large-scale data processing. Ability to design efficient analytical pipelines; preference given to candidates with experience using orchestration tools like Airflow or similar workflow management systems. Skilled in BI tools such as Superset, Tableau, or Power BI; capable of using Microsoft Excel (intermediate level or higher) to quickly handle ad-hoc data requests. Strong communication skills with the ability to translate business requirements into data-driven solutions. Capable of advising and managing stakeholder expectations regarding data limitations, analytical logic, and solution feasibility. Able to stand by analytical approaches, defend technical viewpoints, and handle pressure or conflicting timelines/expectations effectively.