Data Analyst 2
Aditi Consulting Hyderabad, Telangana, India
Job Description
"Unlock the secrets of data-driven decision-making as a Data Analyst 2 at Aditi Consulting, where you'll join forces with cross-functional teams to uncover actionable insights and drive business growth."
As a Data Analyst 2 at Aditi Consulting, you'll play a pivotal role in empowering business decisions with data-driven insights. You'll collaborate with Product, Engineering, Data Science, and Outreach teams to provide analytical support and help drive strategic initiatives.
In this role, you'll have the opportunity to design and build insightful dashboards, extract and transform data, and author data pipelines to power these dashboards. Your work will have a direct impact on business growth and success.
Why you should learn this:
With the increasing demand for data-driven decision-making, the role of a Data Analyst 2 is in high demand, with a growth rate of 14% per annum.
Expected Salary: $80,000 - $110,000 per annum, depending on experience and qualifications.
How it works:
- Extract and clean data from various sources, including databases, APIs, and spreadsheets.
- Preprocess and transform data to prepare it for analysis, using techniques such as data normalization, aggregation, and filtering.
- Design and build insightful dashboards to present actionable insights and drive business decisions.
- Author data pipelines to power dashboards, using tools such as Apache Beam, Apache Spark, or AWS Glue.
Core Concepts to Master
Data Wrangling
Data wrangling involves extracting, cleaning, and transforming data to prepare it for analysis. This includes handling missing values, data normalization, and aggregating data from multiple sources.
Dashboard Design
Dashboard design involves creating intuitive and interactive visualizations to present actionable insights. This includes choosing the right visualization tools, designing a clear and concise layout, and ensuring data accuracy and integrity.
Data Pipelining
Data pipelining involves designing and building data pipelines to power dashboards. This includes choosing the right data processing tools, designing a scalable and fault-tolerant pipeline, and ensuring data quality and integrity.
Interview Questions (Beginner)
- What is data wrangling, and why is it important in data analysis?
- How would you design a dashboard to present actionable insights?
- What are some common data visualization tools, and when would you use each?
Job Overview
Advance Questions
- • How would you handle missing values in a dataset, and why is it important?
- • What are some common pitfalls to avoid when designing a data pipeline, and how would you address them?
- • How would you optimize a data pipeline for performance and scalability?