Data Analytics Engineer (Contractual)
# Data Analytics Engineer (Contractual) **Asian Technology Solutions** · Mandaluyong · `On-site` 🕒 **Статус:** *Опубликовано: 4 дня назад* · *Источник: Indeed* --- ### About the Role Duties and Responsibilities Gather data from multiple primary and secondary sources, ensuring accuracy and completeness Perform data cleaning, transformation, and validation to prepare datasets for analysis Assist in the development and maintenance of databases and data systems Conduct statistical analysis and data mining to identify trends, patterns, and correlations Support the development of analysis methodologies and techniques Interpret data and analyze results using statistical and analytical approaches Create and maintain regular and ad-hoc reports, dashboards, and visualizations Present data clearly and effectively using charts, graphs, and tables Ensure accuracy, clarity, and timeliness of reports delivered to stakeholders Work with Marketing, Sales, Operations, and other teams to understand data needs Provide analytical support and communicate findings to technical and non technical audiences Actively participate in team meetings and contribute to discussions on data use Identify and resolve data discrepancies to maintain quality and integrity Follow established data governance policies and procedures. Document data sources, methodologies, and processes for transparency and consistency Stay up to date with industry trends, tools, and best practices in analytics Continuously improve skills in data analysis tools and programming languages Participate in training and development initiatives Qualifications Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field Prior experience or internship in data analysis, data engineering, or business intelligence roles Familiarity with SQL and database concepts Exposure to data visualization tools (e.g., Tableau, Power BI, Superset) Basic programming knowledge in Python or R (preferred) Knowledge of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift) Experience in industries such as e-commerce, marketing, or finance is a plus Work Setup Hybrid Setup (4x WFH, 1x Onsite) Job Type: Fixed term Application Question(s): How many years of exposure you have with data visualization tools (e.g., Tableau, Power BI, Superset)? How many years of experience do you have using Python or R? Do you have experience in data warehousing concepts (e.g., Snowflake, BigQuery, Redshift)? Education: Bachelor's (Required) Experience: Data analytics: 1 year (Required) SQL: 1 year (Required) Work Location: In person
Наблюдалась 2026-09-21, впервые 2026-09-17, источник — Indeed.