Senior Analyst - Data Analytics
Role Overview
The designation is Senior Analyst - Data Analytics; the job specification describes a Data Modeler in the Data Office.
Design and maintain scalable data models supporting analytics, reporting, and AI initiatives.
Work with data engineers, analysts, and business stakeholders to turn business needs into logical and physical models.
Key Skills for This Role
Full Job Posting
Role overview
The designation is Senior Analyst - Data Analytics; the job specification describes a Data Modeler in the Data Office.
Design and maintain scalable data models supporting analytics, reporting, and AI initiatives.
Work with data engineers, analysts, and business stakeholders to turn business needs into logical and physical models.
Responsibilities
- Design conceptual, logical, and physical models for enterprise data products and analytics use cases.
- Gather stakeholder requirements and define modeling standards, naming conventions, and best practices.
- Implement models with data engineers in Snowflake and other data platforms; maintain Power BI semantic models.
- Review models for performance, scalability, and maintainability; support governance, lineage, and traceability.
- Document models with entity relationship diagrams, data dictionaries, and metadata.
- Partner with Data Quality and Data Governance teams to ensure model integrity and consistency.
- Evolve models for new requirements and data sources; guide and review engineering changes.
- Keep current with dimensional modeling and data vault methodologies.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 5+ years in data modeling, data architecture, or data engineering.
- Expertise in dimensional modeling, normalization, and data vault methodologies.
- Advanced SQL and hands-on experience with cloud data platforms such as Snowflake.
- Experience designing semantic models for BI tools such as Power BI; familiarity with tools such as dbt.
- Understanding of data warehousing, ETL/ELT, data governance, and normalized versus denormalized model trade-offs.
- Strong analytical, problem-solving, documentation, communication, project-management, and cross-functional collaboration skills.
Preferred qualifications
- Experience with ERwin, ER/Studio, or similar modeling tools is preferred.
- Familiarity with AI/ML use cases and feature engineering, financial services or regulated industries, and data catalog or metadata tools is preferred.
- Relevant data modeling or data architecture certifications are preferred.
About the company
The description identifies Apex Group as a global financial services provider established in Bermuda in 2003, with offices in more than 70 countries.
The company describes its services as including fund services, digital onboarding, custody, corporate services, ESG ratings, and advisory.
Role details
The description lists Chennai as the role location and 5 to 7 years of experience.
The job snapshot lists employee type as Permanent.
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