LEAD BUSINESS ANALYST - DATA ENGINEERING (Project-based, Hybrid)

Company Description MISNet is a technology solutions company with over 35 years of experience in consulting, implementation, and project delivery. With a team of more than 70 consultants and software engineers, MISNet helps organizations address information technology challenges and maximize returns on their IT investments. The company specializes in end-to-end business intelligence, turning data into actionable insights through data management, warehousing, analysis, analytics, and visualization services.

MISNet is recognized as the first Tableau service provider in the Philippines, with a Tableau-accredited trainer and the capability to deliver official Tableau training courses. This combination of deep technical expertise and practical industry experience enables MISNet to support clients in streamlining operations and enabling business growth.

Job Overview:

The Lead Business Analyst - Data Engineering leads the analysis and definition of business and data requirements for data pipelines, platforms, ETL/ELT workflows, and business intelligence solutions. Acting as the link between business stakeholders and technical teams, the role translates complex business needs into clear, actionable requirements that support reliable, scalable, and high-value data solutions.

The role follows a hybrid work arrangement at the Pointwest office. Candidates must be willing to report onsite at least twice a week, work mid-shift schedules, and observe U.S. holidays instead of Philippine holidays.

Key Responsibilities:

·   Lead the elicitation, analysis, validation, and documentation of business, data, and functional requirements for data engineering initiatives.

·   Define and manage project scope, detailed work plans, source-to-target mappings (STTM), ETL/ELT data flows, and analytical use cases.

·   Create data flow diagrams, data lineage maps, business scenarios, process flows, and other requirements documentation.

·   Facilitate requirements interviews, design reviews, and walkthroughs with business stakeholders, data engineers, and QA/data quality teams.

·   Provide technical direction, review team deliverables, and coach team members on business analysis and Agile data development practices.

·   Present project status, issues, risks, assumptions, and recommendations to client stakeholders and management.

·   Identify data quality, governance, reliability, and compliance risks and recommend practical solutions aligned with business objectives and audit standards.

Core Expertise:

·   Experience: More than 5 years in business analysis within data engineering, data warehousing, or software development environments.

·   Expert knowledge of business analysis tools, elicitation techniques, requirements engineering, and scope management for data projects.

·   Expert-level SQL skills for data querying, analysis, reconciliation, and validation.

·   Strong experience with source-to-target mapping, data lineage, data flow diagramming, ETL/ELT lifecycles, and analytical use cases.

·   Strong understanding of relational and dimensional data modeling, including star schema design.

·   Proven experience with Agile/Scrum, software and data engineering methodologies, and system design concepts.

·   Familiarity with AWS data services such as Lambda, RDS, DynamoDB, Athena, and Kinesis, as well as modern data platform architecture.

·   Demonstrated ability to lead large cross-functional meetings, data design reviews, requirements walkthroughs, and consensus-building sessions.

·   Proven experience managing complex, large-scale, cross-platform data initiatives and multiple priorities.

·   Strong client-facing experience, technical leadership, team leadership, and executive-level communication skills.

Key Competencies & Abilities:

·   Strong facilitation, negotiation, stakeholder management, conflict resolution, and consensus-building skills.

·   Excellent analytical, critical-thinking, and data-driven problem-solving abilities.

·   Ability to translate complex technical concepts into clear business language and actionable requirements.

·   Strong leadership, mentorship, coaching, and quality-review capabilities.

·   Excellent written and verbal communication skills, including comfort presenting to management.

·   Ability to work effectively in a fast-paced environment while managing multiple priorities and detailed work plans.

Additional Information:

·   Work setup: Hybrid, with onsite reporting at the Pointwest office at least twice a week (Tuesday and Wednesday).

·   Shift: 3:00 pm to 12:00 midnight on Work in Office (WIO) days; 4:00 pm to 1:00 am on Work from Home (WFH) days.

·   The role supports a U.S.-based client and observes U.S. holidays instead of Philippine holidays.

·   Candidates will undergo a practical assessment focused on data requirements analysis and SQL, followed by a technical interview.