Data Analyst Senior Associate

Job Summary

Data & Analytics function is dedicated to designing and delivering robust global data platforms that enable business solutions and high-quality analytics. The Data Analyst is responsible for interpreting and analyzing data from complex sources like ERP, HCM, and CRM to support data-driven decision making and ensure the accuracy, integrity, and usability of information within the organization’s Data Lakehouse. This hands-on role focuses on requirements translation, source-to-target mapping, dimensional modeling support, ELT/ETL validation, testing support and data quality. Working closely with Business teams, Data Architects, and Engineers, the Data Analyst transforms business processes into well-structured, secure, and reliable data models and pipelines, enabling the Data Lakehouse to serve as a trusted foundation for analytics, reporting and AI products.

Responsibilities

• Work closely with business stakeholders to gather, validate, and clarify data and reporting requirements.

• Translate business needs into detailed functional and technical requirement documents.

• Develop comprehensive Source-to-Target Mapping (STTM/STM) documents capturing field-level data logic.

• Create detailed Business Rules, Data Definitions, and Data Transformation documentation.

• Perform complete data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers.

• Assist in data modeling and design aligned with Medallion architecture (Bronze/Silver/Gold layer separation).

• Conduct data profiling, validation, and reconciliation using Snowflake SQL.

• Work with REST API data integrations, including reading API specifications, understanding payloads, and mapping to Snowflake tables.

• Collaborate with data engineers, ETL/ELT developers, and QA to ensure accurate interpretation of the requirements.

• Support UAT and resolve data-related gaps through iterative testing and validation.

• Mentor and guide more junior team members.

Skills and Experience

• English level B2+

• Proven experience with programming languages such as SQL and Python for data validation, profiling, reconciliation, and analytics.

• Strong hands-on Snowflake experience is required, including:

• Ability to construct & optimize complex SQL queries

• Variant/JSON parsing

• Schema and stage understanding

• Performance analysis & troubleshooting

• Working experience in Medallion Architecture (Bronze, Silver, Gold data layers) including mapping data flows across layers.

• Proven experience with API-based data ingestion (REST APIs, JSON/XML).

• Ability to interpret API documentation and create field mappings for Snowflake ingestion.

• Experience building Source-to-Target mapping documents and transformation rules.

• Strong understanding of data lineage, metadata traceability, and impact analysis.

• Experience writing BRDs, FRDs, mapping documents, and business rule specifications.

• Effective communication skills with ability to work directly with business stakeholders.

• Excellent analytical and problem-solving skills.

Education / Professional Experience/ Qualifications

• Bachelor of Science (BS) in computer science or information systems (or equivalent work experience).

• 5+ years of Data Analyst or Business Data Analyst experience in enterprise data environments.

• Preferred: Experience in professional services, accounting industry, or client service/consultative technology roles.

• Experience with ETL/ELT tools (Informatica, DBT).

• Experience with BI/reporting tools (Power BI, Tableau, Excel).

• Experience with data modeling methodologies (Dimensional modeling, Data Marts, Data Warehousing, Star/Snowflake schema).

• Familiarity with cloud data platforms (Azure, AWS, GCP).

• Exposure to API testing tools (Postman, Swagger).

• Agile/Scrum delivery exposure.