Data Analytics Engineer | Hybrid | Contractual

ATS CONSULTING SERVICES PH INC.; Mandaluyong; On-site; PHP 600,000 - 900,000; Full time

Job summary

ATS CONSULTING SERVICES PH INC. seeks an Analytics Engineer to empower data-driven decisions by collecting, preparing, analyzing, and visualizing data with accuracy and timely reporting.

You will partner with Marketing, Sales, Operations, and Finance to translate insights into actionable business actions while improving data governance and reporting processes.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Prior experience or internship in Data Analytics, Data Engineering, Business Intelligence, or a related field.
• Proficiency in SQL and familiarity with database concepts.
• Experience with data visualization tools such as Power BI, Tableau, or Superset.
• Basic to intermediate programming knowledge in Python or R.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Good written and verbal communication skills.
• Ability to work independently and collaboratively in a cross-functional environment.
• Willingness to learn and adapt to new tools and technologies.

Responsibilities

• Collect, clean, transform, and validate data from multiple sources.
• Assist in maintaining databases and data systems.
• Conduct statistical analysis and data mining to identify trends and patterns.
• Develop and maintain regular and ad-hoc reports, dashboards, and visualizations.
• Translate analytical findings into clear and actionable insights for business stakeholders.
• Collaborate with technical and non-technical teams to understand and address data requirements.
• Identify and resolve data discrepancies to maintain data quality and integrity.
• Document data sources, methodologies, and processes.
• Contribute to improvements in data processes, reporting, and governance.
• Stay updated with analytics tools, technologies, and industry best practices.

Skills

SQL

Power BI

Tableau

Superset

Python

R

Data Analytics

Data Engineering

Education

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field

Tools

Snowflake

BigQuery

Redshift

ETL tools

Job description

About the Role

We are looking for an Analytics Engineer to support data-driven decision-making across the organization. The role will focus on collecting, preparing, analyzing, and visualizing data while ensuring data accuracy, integrity, and timely reporting.

You will work closely with Marketing, Sales, Operations, Finance, and other teams to address data needs, generate insights, and continuously improve data processes and governance.

Key Responsibilities

• Collect, clean, transform, and validate data from multiple sources.

• Assist in maintaining databases and data systems.

• Conduct statistical analysis and data mining to identify trends and patterns.

• Develop and maintain regular and ad-hoc reports, dashboards, and visualizations.

• Translate analytical findings into clear and actionable insights for business stakeholders.

• Collaborate with technical and non-technical teams to understand and address data requirements.

• Identify and resolve data discrepancies to maintain data quality and integrity.

• Document data sources, methodologies, and processes.

• Contribute to improvements in data processes, reporting, and governance.

• Stay updated with analytics tools, technologies, and industry best practices.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.

• Prior experience or internship in Data Analytics, Data Engineering, Business Intelligence, or a related field.

• Proficiency in SQL and familiarity with database concepts.

• Experience with data visualization tools such as Power BI, Tableau, or Superset.

• Basic to intermediate programming knowledge in Python or R.

• Strong analytical, problem-solving, and attention-to-detail skills.

• Good written and verbal communication skills.

• Ability to work independently and collaboratively in a cross-functional environment.

• Willingness to learn and adapt to new tools and technologies.

Preferred Qualifications

• Knowledge of data warehousing concepts and platforms such as Snowflake, BigQuery, or Redshift.

• Experience with ETL/data transformation processes.

• Background or exposure to e-commerce, marketing, finance, sales, or operations analytics.

• Familiarity with data quality, governance, and documentation practices.