Senior Data Analyst
Black Piano India
Job Description
"Unlock the secrets of data analysis and drive business growth as a Senior Data Analyst at Black Piano, where you'll play a crucial role in shaping the future of data-driven decision making."
As a Senior Data Analyst at Black Piano, you'll be part of a high-performing team that thrives on collaboration and innovation. With a focus on data discovery, source-to-target mapping, and data integration initiatives, you'll work closely with Solution Architects, Data Engineers, and Analytics teams to drive business growth and improvement.
In this role, you'll have the opportunity to develop and refine your analytical skills, leveraging your expertise in SQL and data integration concepts to inform data-driven decisions and drive business outcomes.
Why you should learn this:
With the increasing demand for data-driven decision making, the role of a Senior Data Analyst is more critical than ever. The current market demand for skilled data analysts is high, and the salary range for this role is competitive, with a realistic range of $120,000 - $180,000 per annum.
Expected Salary: 120,000-180,000
How it works:
- Perform data discovery and analyse source systems to understand data structures and relationships.
- Collaborate with Solution Architects, Data Engineers, and Analytics teams to create and maintain source-to-target mapping (STTM) documentation for data migration and integration projects.
- Conduct data profiling and quality checks to ensure data accuracy and integrity.
- Develop and implement data integration and data warehousing solutions to support business needs.
Core Concepts to Master
Data Discovery and Source System Analysis
This involves identifying and analysing source systems, including data structures, relationships, and metadata, to understand data lineage and inform data integration initiatives.
Source-to-Target Mapping (STTM) Documentation
STTM documentation is a critical component of data migration and integration projects, outlining the mapping of source data to target systems and ensuring data accuracy and integrity.
Data Profiling and Quality Checks
Data profiling involves examining data quality, accuracy, and completeness to ensure it meets business requirements, while quality checks ensure data meets predefined standards.
Data Integration and Data Warehousing Concepts
This involves designing and implementing data integration and data warehousing solutions to support business needs, including ETL processes, data transformation, and data visualization.
Interview Questions (Beginner)
- What do you know about data discovery and source system analysis?
- Can you explain the importance of STTM documentation in data migration and integration projects?
- How do you ensure data accuracy and integrity during data profiling and quality checks?
Job Overview
Advance Questions
- • Can you describe a scenario where you had to perform data discovery and analysis to inform data integration initiatives?
- • How do you approach STTM documentation for complex data migration and integration projects?
- • Can you explain the differences between ETL, data transformation, and data visualization in data integration and data warehousing?