Data Analyst

Tap Growth ai; Mandaluyong; On-site; PHP 446,000 - 893,000; Full time

Job summary

Tap Growth ai is seeking a detail-oriented Data Analyst to collect, analyze, and interpret data to drive informed business decisions. The role requires strong technical skills and the ability to communicate insights effectively to stakeholders.

You will gather, clean, and model data, build dashboards with Tableau/Power BI, and collaborate with teams to translate data into actionable strategies. This position is based in Mandaluyong, Philippines and operates on-site.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Proficiency in SQL, Python, R, or other programming languages is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong knowledge of statistical methods and data analysis techniques.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and presentation skills.
• Ability to work collaboratively in a team environment.
• Knowledge of database management systems and data warehousing concepts.
• Familiarity with business intelligence tools and methodologies.
• Understanding of data governance and compliance standards.

Responsibilities

• Gather and clean data from multiple sources to ensure accuracy and reliability.
• Maintain databases, ensuring data integrity and security.
• Analyze large datasets to identify trends, patterns, and insights.
• Perform statistical analyses and interpret results to support business strategies.
• Create clear and visually appealing dashboards, reports, and charts.
• Present findings and recommendations to stakeholders in a concise manner.
• Collaborate with teams to understand business challenges and provide data-driven solutions.
• Develop predictive models to forecast trends and outcomes.
• Identify opportunities for process optimization through data analysis.
• Implement data automation tools to enhance efficiency.

Skills

Data analysis

SQL

Python

R

Statistics

Communication

Teamwork

Problem solving

Data governance

Data warehousing

Education

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

Tools

Tableau

Power BI

Job description

We are seeking a detail-oriented and analytical Data Analyst to join our team. In this role, you will collect, analyze, and interpret data to help drive informed business decisions. The ideal candidate has a passion for data, strong technical skills, and the ability to communicate insights effectively to stakeholders.

Key Responsibilities:

• Gather and clean data from multiple sources to ensure accuracy and reliability.
• Maintain databases, ensuring data integrity and security.
• Analyze large datasets to identify trends, patterns, and insights.
• Perform statistical analyses and interpret results to support business strategies.
• Create clear and visually appealing dashboards, reports, and charts.
• Present findings and recommendations to stakeholders in a concise manner.
• Collaborate with teams to understand business challenges and provide data-driven solutions.
• Develop predictive models to forecast trends and outcomes.
• Identify opportunities for process optimization through data analysis.
• Implement data automation tools to enhance efficiency.

Job Requirements:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Proficiency in SQL, Python, R, or other programming languages is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong knowledge of statistical methods and data analysis techniques.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and presentation skills.
• Ability to work collaboratively in a team environment.
• Knowledge of database management systems and data warehousing concepts.
• Familiarity with business intelligence tools and methodologies.
• Understanding of data governance and compliance standards.

Location: Mandaluyong, Philippines

Work Mode: Work from Office