Full Stack Data & Analytics Specialist

iSupport Worldwide; Pasig; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

iSupport Worldwide in Metro Manila (Pasig area) is seeking a versatile Full Stack Data & Analytics Specialist to build data infrastructure, develop BI solutions, and deliver actionable insights across operations, purchasing, and sales.

This role combines strong SQL, Power BI, and scripting with an AI-driven approach to problem-solving to establish a foundational demand planning model and scalable data solutions that support business growth.

Qualifications

• 3–6+ years in data analytics, analytics engineering, BI, or related full-stack data role.
• Strong SQL skills including CTEs, joins, aggregations and window functions.
• Hands-on Power BI, DAX, data modeling, and dashboard development.
• Experience with ETL, REST APIs, JSON/CSV feeds, and Python scripting.
• Knowledge of relational or dimensional data modeling and database mgmt.
• Analytical skills for trend analysis and forecasting.
• Familiarity with AI-powered developer tools (ChatGPT/ Copilot).
• Ability to learn quickly and take ownership of end-to-end data solutions.

Responsibilities

• Build and maintain SQL databases and data pipelines from ERP and other sources.
• Develop a company-wide demand planning model using historical data and projections.
• Design and maintain Power BI dashboards using DAX for performance and inventory planning.
• Automate data extraction, ingestion, and reporting to reduce manual work.
• Perform ad hoc analyses on trends, margins, supplier lead times and bottlenecks.
• Collaborate with leadership to translate business needs into practical data solutions.
• Leverage AI-powered tools to accelerate scripting and workflow efficiency.

Skills

SQL

Power BI

Scripting

Analytical thinking

Independent work

Ownership

AI-driven tooling

Problem solving

Tools

Power BI

DAX

ETL

REST APIs

JSON/CSV feeds

Python

ChatGPT

Claude

GitHub Copilot

NetSuite

Job description

We are looking for a versatile Full Stack Data & Analytics Specialist to build and maintain data infrastructure, develop business intelligence solutions, and deliver actionable insights across operations, purchasing, and sales.

This role is ideal for a hands-on data professional who combines strong SQL, Power BI, and scripting skills with analytical thinking and a resourceful, AI-driven approach to problem-solving. You will work closely with executive leadership to establish a foundational demand planning model and develop scalable data solutions that support business growth.

Key Responsibilities

• Build and maintain SQL databases and data pipelines, integrating operational data from ERP systems and other sources.
• Develop a company-wide demand planning model incorporating historical consumption, seasonality, stock availability, and forward-looking projections.
• Design and maintain interactive Power BI dashboards using DAX to monitor business performance, forecast accuracy, variances, and inventory requirements.
• Automate recurring data extraction, ingestion, and reporting processes to reduce manual spreadsheet work.
• Conduct ad hoc analyses to identify trends, investigate margin variances, evaluate supplier lead times, and uncover inventory bottlenecks.
• Collaborate with leadership and cross-functional teams to translate business needs into practical data solutions.
• Leverage AI-powered development tools to accelerate scripting, troubleshoot technical issues, and improve workflow efficiency.

Qualifications

• 3–6+ years of experience in data analytics, analytics engineering, business intelligence, or a similar full-stack data role.
• Strong SQL skills, including CTEs, joins, aggregations, and window functions.
• Hands-on experience with Power BI, DAX, data modeling, and dashboard development.
• Practical experience with ETL processes, REST APIs, JSON/CSV data feeds, and Python scripting or automation.
• Understanding of relational or dimensional data modeling and database management.
• Strong analytical skills, including trend analysis, moving averages, and basic statistical concepts.
• Active familiarity with AI-powered developer tools such as ChatGPT, Claude, or GitHub Copilot.
• Ability to work independently, learn new business domains quickly, and take ownership of end-to-end data solutions.

Preferred Qualifications

• Experience in manufacturing, consumer packaged goods (CPG), supply chain, or e-commerce.
• Familiarity with NetSuite or other ERP systems.
• Experience with demand planning, inventory analytics, or Sales & Operations Planning (S&OP).