Senior Data Analyst
Black Piano India
Job Description
"Unlock the world of data analysis at Black Piano and take your career to the next level as a Senior Data Analyst."
In this role, you will be working closely with cross-functional teams to drive data-driven decisions and deliver business value through data integration and analytics solutions.
As a Senior Data Analyst at Black Piano, you will have the opportunity to work on high-impact projects, develop your technical skills, and contribute to the growth and success of our organization.
Why you should learn this:
With the increasing demand for data-driven decision-making, the role of a Senior Data Analyst is in high demand across various industries, with a median salary range of $118,000 - $160,000 per year.
Expected Salary: $118,000 - $160,000 per year
How it works:
- Step 1: Collaborate with Solution Architects, Data Engineers, and Analytics teams to understand business requirements and identify data integration needs.
- Step 2: Analyze source systems, document data lineage, and create mapping specifications for data migration and integration projects.
Core Concepts to Master
Data Profiling
Data profiling involves analyzing and understanding the structure, quality, and relationships within a dataset. This involves using data mining techniques to identify patterns, trends, and outliers, and to develop data quality metrics and recommendations for data improvement.
Data Integration
Data integration involves combining data from multiple sources into a unified view, using techniques such as ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). This requires a deep understanding of data models, data mapping, and data transformation.
Data Warehousing
Data warehousing involves designing and building a centralized repository of data that can be used for reporting, analytics, and decision-making. This requires a deep understanding of data modeling, data architecture, and data governance.
Interview Questions (Beginner)
- What is data profiling, and how do you conduct it?
- Can you explain the concept of data integration, and how do you implement it?
- What is a data warehouse, and how do you design one?
Job Overview
Advance Questions
- • How do you handle data quality issues in a large-scale data integration project?
- • Can you describe your experience with data governance and data security in a data warehouse environment?
- • How do you optimize data transformation and data loading in a data warehousing project?