Analytics Engineer

Analytics Engineer (Data Analyst) Project Assignment

Location:
Robinsons Cybergate, Mandaluyong City (near Boni MRT station) Main office: Dela Rosa, Makati City Hybrid (2 days per week onsite), Monday to Friday 8:30 AM – 5:30 PM Job Summary The Analytics Engineer is responsible for collecting, preparing, and analyzing data to support decision-making across the organization. This role focuses on ensuring data accuracy and integrity, developing reports and dashboards, and providing actionable insights to business teams. The Analytics Engineer collaborates with cross-functional units to address data needs, perform statistical analyses, and contribute to the continuous improvement of data processes and governance. Roles and Responsibilities Data Collection and Preparation
· 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. Data Analysis and Interpretation
· 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. Reporting and Visualization
· 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. Collaboration and Communication
· Work with Marketing, Sales, Operations, and other teams to understand data needs.
· Provide analytical support and communicate findings to technical and non[1]technical audiences.
· Actively participate in team meetings and contribute to discussions on data use. Data Quality and Governance
· 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. Professional Development
· 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. Picture of Success: An effective Analytics Engineer will be considered successful when:
· Accurate, reliable, and timely reports and dashboards are consistently delivered to stakeholders.
· Data is cleaned, validated, and maintained to support high-quality analysis.
· Insights generated from analysis are used to inform marketing, sales, finance, and operations strategies.
· Collaboration with cross-functional teams leads to stronger data-driven decision[1]making.
· Continuous improvements are made to data quality, documentation, and governance practices. Position Requirements
· 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). Skills and Competencies
- Strong analytical and problem-solving skills.
- Basic programming knowledge in Python or R (preferred).
- Excellent written and verbal communication skills.
- Strong attention to detail and commitment to data accuracy.
- Ability to work independently and as part of a collaborative team.
- Eagerness to learn and adapt to new technologies. Preferred Qualifications
- Knowledge of data warehousing concepts (e.g., Snowflake, BigQuery, Redshift).
- Experience in industries such as e-commerce, marketing, or finance is a plus Pay: Php50,000.00
- Php80,000.00 per month

Benefits:
- Company events
- Health insurance
- Life insurance
- Promotion to permanent employee Work

Location:
Hybrid remote in Mandaluyong