[ref. q67489601] Data Business Analyst (Engineering) - Geylang

We are seeking a Data Business Analyst with a hybrid skill set that bridges data engineering and business analysis. This role involves hands-on data analysis, metric design, and close collaboration with client-side stakeholders to ensure clarity and alignment on business intent a rticularly in areas where documentation is missing, outdated, or ambiguous.

This is a 12 month contract role to start with a potential to extend.

You will act as a key link between business teams and technical functions, ensuring data solutions and reporting outputs are both technically robust and aligned with business objectives.

Key Responsibilities:

• Collaborate with business stakeholders to elicit, clarify, and validate the intent and expected behavior of key business metrics.
• Investigate existing data models and systems to understand current logic and identify discrepancies or undocumented logic.
• Work with engineering teams to define metric calculations, data transformations, and reporting logic.
• Translate business needs into clear technical data requirements, stories, or documentation.
• Ensure alignment between business expectations and data products, especially in cases with missing or ambiguous documentation.
• Conduct root cause analysis when metrics behave unexpectedly or inconsistently.
• Support the validation and QA of data pipelines, dashboards, and reports.
• Facilitate discussions across both business and technical teams to resolve data ambiguity.

Required Skills & Experience:

• 8+ years’ experience in a data analyst, business analyst, or analytics engineer role.
• Strong SQL skills and a solid understanding of data modeling and ETL/ELT processes.
• Experience working closely with both business users and engineering teams.
• Proven ability to investigate and reverse-engineer metric definitions.
• Excellent communication and stakeholder management skills.
• Strong analytical thinking and problem-solving abilities.

Preferred Qualifications:

• Familiarity with BI and visualization tools (e.g., Tableau, Power BI, Looker).
• Experience working with modern data stacks (e.g., Snowflake, dbt, BigQuery, Dataform).
• Understanding of agile methodologies and working in sprint-based environments.
• Prior experience in financial services, technology, or regulated industries is a plus.

Argyll Scott Consulting Pte Ltd