Analytics Consultant - Data-Driven Strategy & Dashboards

Our Clients; Makati; On-site; PHP 781,000 - 1,339,000; Full time

Job summary

Our Clients in Makati City is seeking an Analytics Consultant to translate complex business data into actionable insights. You will design data-driven models, build dashboards, and collaborate with cross-functional teams to optimize client operations.

The role requires a strong background in data visualization (Power BI, Tableau), SQL, and statistical programming with Python or R, along with excellent communication skills to present findings to executives.

Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Technology, or a related field.
• Proven experience as a Data/Analytics Consultant, preferably in a professional services or advisory environment.
• Strong proficiency in data visualization tools (Power BI, Tableau) and data querying languages (SQL).
• Familiarity with statistical programming languages (like Python or R) is a significant advantage.

Responsibilities

• Analyze large, complex datasets to identify patterns, anomalies, and key business opportunities for clients.
• Design, build, and maintain interactive data dashboards and visualization reports using tools like Power BI or Tableau.
• Collaborate with business stakeholders to understand their core objectives and translate them into technical analytics requirements.
• Develop predictive models and data frameworks to support strategic decision-making and operational efficiency.
• Present data findings and strategic recommendations clearly to both technical teams and executive-level clients.

Skills

Data visualization

SQL

Analytical thinking

Communication skills

Education

Bachelor’s degree in related field

Tools

Power BI

Tableau

Job description

Our Clients in Makati City is seeking an Analytics Consultant to translate complex business data into actionable insights. You will design data-driven models, build dashboards, and collaborate with cross-functional teams to optimize client operations.

The role requires a strong background in data visualization (Power BI, Tableau), SQL, and statistical programming with Python or R, along with excellent communication skills to present findings to executives.