Business Analyst (Data Warehouse & Analytics)
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Key skills for this role
About the Role
Deepsource Technologies seeks a Business Analyst to bridge business and technical teams for a Telecom Data Lakehouse/Data Warehouse project. The role involves gathering requirements, analyzing telecom processes, and defining business rules for data products and analytics solutions.
Key Skills for This Role
Responsibilities
- Gather and analyze business requirements from stakeholders across telecom domains
- Conduct workshops and interviews with business users to understand reporting and analytical requirements
- Document business processes, functional requirements, and business rules
- Define source to target mapping requirements and validate data transformations
- Collaborate with Solution Architects and Data Modelers to ensure business requirements are reflected in design
- Support definition of data quality rules, validation criteria, and reconciliation requirements
- Participate in User Acceptance Testing (UAT) by preparing test scenarios and validating results
- Maintain business glossaries, metadata, and documentation
- Facilitate communication between business stakeholders and technical teams
Requirements
- Strong business analysis and requirement elicitation skills
- Excellent stakeholder management and communication skills
- Experience documenting business requirements and functional specifications
- Strong analytical and problem solving skills
- Understanding of relational databases and SQL
- Basic knowledge of data warehousing concepts (Facts, Dimensions, Star Schema, etc.)
- Experience working in Agile/Scrum environments
Full Job Posting
Overview
- We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.
- The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications.
Key Responsibilities
- Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.
- Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.
- Document business processes, functional requirements, and business rules.
- Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.
- Define source to target mapping requirements and validate data transformations.
- Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.
- Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.
- Support the definition of data quality rules, validation criteria, and reconciliation requirements.
- Review ETL mapping documents and ensure business logic is correctly implemented.
- Work closely with Data Engineers during development to clarify business rules and resolve functional issues.
- Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign off.
- Maintain business glossaries, metadata, and documentation.
Requirements
- Strong business analysis and requirement elicitation skills.
- Excellent stakeholder management and communication skills.
- Experience documenting business requirements and functional specifications.
- Strong analytical and problem solving skills.
- Understanding of relational databases and SQL.
- Basic knowledge of data warehousing concepts such as: Facts and Dimensions, Star Schema, Snowflake Schema, Slowly Changing Dimensions (SCD), Data Lineage, Metadata Management, Data Quality.
- Experience working in Agile/Scrum environments.
Preferred Technical Knowledge
- SQL
- Data Warehouse / Data Lakehouse architecture
- ETL concepts and data integration
- Data Mapping documentation
- Data Quality frameworks
- BI and Reporting platforms
- Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.
Deliverables
- Business Requirement Documents (BRD)
- Functional Requirement Specifications (FRS)
- KPI Definitions
- Data Dictionary
- Business Glossary
- Data Validation and UAT Test Cases
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