Senior Data Business Analyst

We are looking for a highly skilled  Data Business Analyst  with strong expertise in SQL, Data Warehousing concepts, ETL processes, Data Modeling, and Data Mapping.
The ideal candidate will work closely with business stakeholders, data engineers, and product teams to translate business requirements into effective data solutions.

Experience with cloud-based data platforms is an added advantage.

Responsibilities
Collaborate with business stakeholders to gather, analyze, and document data requirements
Translate business needs into functional specifications, data models, and process flows
Perform deep-dive data analysis using advanced SQL queries
Work with ETL and data engineering teams to ensure accurate data pipelines and transformations
Support Data Warehousing initiatives, including data modeling (conceptual, logical, and physical)
Develop and maintain data mapping documents and source-to-target (S2T) specifications
Perform data validation, profiling, and quality checks to ensure data accuracy
Assist in defining KPIs, building dashboards, and supporting reporting needs
Communicate findings and insights to technical and non-technical stakeholders
Work with cloud data services (AWS/Azure/GCP) for data ingestion, storage, and processing (nice to have)

Requirements
5+ years of experience
Strong SQL skills with the ability to write complex queries
Solid understanding of Data Warehousing concepts
Hands-on experience with ETL processes and data transformation logic
Good knowledge of Data Modeling (dimensional & relational)
Experience in Data Mapping and documenting S2T specifications
Strong analytical and problem-solving skills
Excellent communication and documentation abilities

Nice to have
Exposure to cloud data platforms like:
AWS:
Redshift, Glue, Athena, S3
Azure:
Synapse, Data Factory, Databricks
GCP:
Big Query, Dataflow, Pub/Sub

Experience with BI/reporting tools (Tableau, Power BI, Looker)
Basic understanding of data governance and metadata management