AI-Driven Data Solutions Analyst

Motolite Marketing Corp.; Santa Maria; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

Motolite Marketing Corp. is seeking a Business Analyst to translate business needs into data, analytics, and AI solutions. You will design dashboards, data models, and ML use cases while aligning business goals with technical delivery.

You will gather requirements, validate outputs, and collaborate with data engineers, BI developers, data scientists, and IT staff to ensure data quality and KPI definitions are met.

Qualifications

• Graduate in IT/CS/Data Science or related field.
• 3–5 years experience in business analysis, data analytics, BI, or AI-enabled solutions.
• Experience in requirements gathering, stakeholder coordination, and dashboard validation.
• Proficient in Power BI, Tableau, SQL, and Excel.
• Knowledge of data modeling, KPIs, metrics, and data governance fundamentals.
• Familiar with SDLC, Agile, UAT, and release documentation.

Responsibilities

• Gather, analyze, and document requirements for data analytics, BI, ML, AI, and automation.
• Translate business problems into data/AI solution specs with data sources and flows.
• Develop BRDs, functional specs, user stories, data dictionaries, dashboards, and KPIs.
• Conduct data discovery and assess data quality, lineage, and integration needs.
• Coordinate with data engineers, BI developers, data scientists, IT, and users throughout delivery.
• Support dashboards, reports, scorecards, AI workflows by clarifying requirements and validating outputs.
• Prepare technical documentation, test plans, and release notes.

Skills

Requirements gathering

Stakeholder coordination

Process analysis

Data validation

Dashboard testing

AI use case development

SDLC

Agile

User training

Education

Graduate in IT/CS/Data Science/Statistics

Tools

Power BI

Tableau

SQL

Excel

APIs

ETL/ELT

Job description

Motolite Marketing Corp. is seeking a Business Analyst to translate business needs into data, analytics, and AI solutions. You will design dashboards, data models, and ML use cases while aligning business goals with technical delivery.

You will gather requirements, validate outputs, and collaborate with data engineers, BI developers, data scientists, and IT staff to ensure data quality and KPI definitions are met.