We're looking for an experienced Senior Analytical Engineer to join our Client's global data organization and serve as a key connection between business strategy, data engineering, analytics, and technology.
This role is ideal for a highly technical and analytical professional who can transform raw data into scalable, trusted, and certified data products. The successful candidate will work closely with cross-functional teams to translate business requirements into reliable data models, semantic layers, BI solutions, and actionable insights.
Key Responsibilities
- Translate business requirements and logic into scalable, version-controlled data models using dbt within cloud data warehouse environments
- Design, build, and maintain high-performance Tableau or similar BI dashboards and certified Published Data Sources
- Develop and maintain reliable semantic models to ensure critical business metrics are consistently defined and calculated across the organization
- Work with cross-functional business metrics including ARR, Churn, NPS, Pipeline Velocity, and Attrition
- Implement and maintain data quality and freshness testing to ensure the reliability of enterprise data products
- Build and maintain business glossaries and data lineage within Data Catalog platforms to improve data discoverability
- Structure and optimize data products for machine learning consumption and augmented intelligence applications
- Collaborate with Data Engineering, IT, and Security teams to manage upstream data source changes, RBAC governance, and PII masking
- Partner with stakeholders across multiple business functions to understand data requirements and translate them into scalable technical solutions
- Proactively identify opportunities to improve data models, analytics capabilities, reporting consistency, and overall data quality
Job Specification
- 6+ years of experience in Analytics Engineering, Data Engineering, or highly technical Data Analytics roles
- Advanced proficiency in SQL, including complex data transformations, performance tuning, and multi-layer data modeling
- Strong hands-on experience with dbt and modern cloud data warehouse environments
- Proven experience building and deploying enterprise-level Tableau or similar BI solutions
- Experience developing certified data sources, dashboards, and data quality/freshness processes
- Strong understanding of semantic data modeling and KPI standardization across business functions
- Experience with Snowflake or AWS cloud environments is preferred
- Proficiency in Python for data scripting, automation, or analytical workflows is preferred
- Experience working with CRM, ERP, CSP, Product, or other upstream enterprise systems is preferred
- Experience with Data Catalog, data lineage, RBAC, and PII masking is an advantage
- Strong analytical, problem-solving, communication, and stakeholder-management skills, with the ability to work independently in a highly visible individual contributor role.
Working Conditions
- Remote, work-from-home setup
- 5-day work week
- A culture of collaboration and mentoring