Senior Data Analytics & Migration Lead

ERNI

Pasig

Híbrido

PHP 1.200.000 - 2.400.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Baby Basket

Fruit Basket

Free snacks and coffee

Free training with certifications

Hybrid set-up

Descripción de la vacante

ERNI is seeking a Senior Business Analyst with strong Agile delivery experience, data analytics expertise, and data migration leadership capability. The role works closely with business users, product owners, technical teams, vendors, and stakeholders to define business needs and translate them into actionable requirements across the project lifecycle.

The Senior BA leads data analytics, KPI reporting, and Power BI guidance, while coordinating data migration strategies and governance for the MAS

Formación

Bachelor’s degree in Information Technology, Information Management, Business Management, Accounting, or a related field.
At least 10 years of solid experience in business analysis.
At least 5 years of experience in a senior business analysis role.
At least 5 years of experience in banking, accounting, or financial services.
At least 7 years of experience in designing and documenting business processes.
At least 5 years of experience in quality assurance and testing of IT applications.
Experience in account or sales management, government procurement processes, contract lifecycle management, or equivalent business domains.
Knowledge of Agile and Waterfall methodologies.
Conversant with project management lifecycle and systems development lifecycle.
Relevant experience with ITIL best practices.
Experience with data migration planning, execution, validation, and reconciliation.
Experience with reporting, analytics, Power BI, KPI definition, and dashboard validation.

Responsabilidades

Requirements elicitation and business analysis, including workshops with users and stakeholders.
Refine, prioritize, and maintain the product backlog with the Product Owner.
Lead data analytics and reporting requirements for dashboards and KPIs.
Coordinate data migration planning, cleansing, validation, and reconciliation.
Support QA and testing activities with clear acceptance criteria and test scripts.
Ensure governance, risk, and compliance considerations across projects.