Lead Business Analyst (Data Engineering project) - Midshift/Hybrid
Summary
Lead Business Analyst on a data engineering project: gathering requirements, writing source-to-target mappings and data lineage models, validating ETL/ELT pipelines with expert SQL, and mentoring a team building cloud (AWS) data platforms. Offered as a hybrid, midshift role based in the Philippines.
Lead Business Analyst (Data Engineering)
Are you ready to shape high-impact data solutions and lead cross‑functional technology teams Grounded in our core values of Leadership, Excellence, and Innovation, Pointwest is looking for a Lead Business Analyst to bridge the gap between complex business needs and modern data engineering.
Driven by a culture of Agility, Accountability, Innovation, Collaboration, and Customer Centricity, you will play a pivotal role in translating business visions into powerful data platforms, ETL/ELT workflows, and analytics ecosystems.
What You Will Do (Key Result Areas)
- Delighting Our Customers & Stakeholders: Lead requirement gathering, write clear source-to-target mappings (STTM), build data lineage models, and interface with key business leaders to deliver reliable data solutions.
- Growing Our Business: Manage scope and project risks while identifying strategic data opportunities that enhance core client capabilities.
- Improving the Way We Work: Drive technical standards, champion Agile data methodologies, and use expert SQL to validate complex data pipelines and eliminate rework.
- Developing My–self and Others: Mentor team members, review project deliverables, and foster continuous learning across cloud data stack architectures.
How Your Success Will Be Measured
- Delighting Our Customers & Stakeholders: Documentation accuracy, minimal development rework, and high stakeholder satisfaction.
- Growing Our Business: Predictable, on‑time project execution with zero unauthorized scope creep.
- Improving the Way We Work: Faster requirement review cycles and adherence to data SLAs and audit standards.
- Developing My–self and Others: High pass‑rate on team deliverable reviews and measurable peer growth.
What We Are Looking For
- Experience: 5+ years of Business Analysis experience in data engineering, data warehousing, or modern analytics environments.
- Core Skills: Expert‑level SQL skills, deep understanding of ETL/ELT lifecycles, STTM, and dimensional data modeling (star schema).
- Tech Exposure: Familiarity with AWS data services (e.g., Lambda, RDS, DynamoDB, Athena) and modern data architectures.
- Leadership & Soft Skills: Strong facilitation, negotiation, and executive communication abilities with a track record of guiding Agile teams.
- Evaluation: Ability to demonstrate expertise through a practical SQL/data analysis assessment and technical interview.