Data Analyst (Python, SQL & Power BI)
# Data Analyst (Python, SQL & Power BI) **VGSI** · Makati · `On-site` 🕒 **Статус:** *Опубликовано: 3 дня назад* · *Источник: Indeed* --- ### About the Role - Bachelor's degree in Information Technology, Computer Science, Data Analytics, Statistics, Mathematics, or a related field. - At least 2 years of relevant professional experience in data analytics, business intelligence, reporting, or a related role. - Strong proficiency in Python and SQL for data analysis, manipulation, and transformation. - Hands-on experience in Exploratory Data Analysis (EDA) , including data profiling, data cleaning, identifying patterns and trends, detecting anomalies, and validating data quality. - Experience developing and maintaining Power BI dashboards and reports. - Experience with cloud platforms, preferably AWS , and familiarity with services such as Amazon Redshift and Amazon Athena. - Knowledge of ETL processes, data warehousing, data lakes/lakehouses, and data architecture concepts. - Familiarity with PySpark and medallion architecture is an advantage. - Experience in financial reporting, CRM reporting, KPI development, or business performance analysis. Key Responsibilities - Perform Exploratory Data Analysis (EDA) to identify patterns, trends, anomalies, and data quality issues. - Collect, clean, validate, transform, and analyze data from various sources using Python and SQL. - Develop, maintain, and optimize interactive dashboards and reports using Power BI and other data visualization tools, such as Tableau. - Design and implement data transformations and ETL processes to support reporting and analytics requirements. - Work with cloud platforms, particularly AWS, and data storage solutions such as data warehouses and data lakes/lakehouses. - Utilize relevant AWS services and data processing technologies, such as Amazon Redshift, Amazon Athena, and PySpark, as applicable to project requirements. - Work with data architectures and frameworks, including medallion architecture (Bronze, Silver, and Gold layers), to support reliable and efficient data processing. - Develop and monitor KPIs, performance metrics, and business reports, including financial and CRM reporting. - Investigate data discrepancies, reporting issues, and performance bottlenecks, and recommend appropriate solutions. - Optimize dashboards and queries to improve performance when handling large datasets and historical data. - Prepare and maintain technical documentation, including data processes, troubleshooting guides, and root cause analysis reports. - Collaborate with cross-functional teams, project managers, and business stakeholders to understand reporting requirements and deliver actionable insights. - Utilize appropriate AI tools and automation techniques to improve data analysis and reporting workflows. - Manage tasks and support requests using established project management methodologies and ticketing or IT service management (ITSM) tools. Can start ASAP Willing to travel to Palawan if business needs require it. Location: Makati Work arrangement: Hybrid Benefits: - Company events - Health insurance - Life insurance Application Question(s): - How soon can you start? - How much is your asking salary? - Are you amenable to work in Makati? Experience: - Python: 2 years (Preferred) - SQL: 2 years (Preferred) - Exploratory Data Analysis (EDA): 2 years (Preferred) - AWS: 2 years (Preferred) - Power BI: 2 years (Preferred) Willingness to travel: - 75% (Preferred) Work Location: In person
Наблюдалась 2026-10-15, впервые 2026-10-12, источник — Indeed.