Data Analyst

PwC; Hyderabad, Gurugram District, Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

PwC Hyderabad is seeking a skilled Data Analyst with 3–7 years of experience to transform raw data into actionable insights. You will work with SQL, Python, and Power BI to build dashboards and reports, and collaborate with business, product, and engineering teams to shape data-driven decisions.

You'll develop and optimize ETL pipelines on Data Bricks and Snowflake, perform root cause analysis, and present clear findings to stakeholders, ensuring data accuracy and timely delivery.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 3-7 years of professional experience as a Data Analyst or in a similar role.
• Strong proficiency in Data Analytics principles and methodologies.

Responsibilities

• Extract, clean, and analyze large datasets from various sources using SQL and Python.
• Develop, maintain, and optimize ETL pipelines to ensure seamless data flow and availability.
• Design and create interactive dashboards and reports using Power BI to communicate findings effectively.
• Utilize Data Bricks and Snowflake environments for data processing and warehousing tasks.
• Collaborate with cross-functional teams including business, product, and engineering to understand data requirements and deliver analytics solutions.
• Perform root cause analysis and troubleshoot data-related issues.
• Apply advanced analytical techniques and statistical models to identify trends, patterns, and insights.
• Prepare and present detailed reports to stakeholders to support data-driven decision making.

Skills

Data Analytics

SQL

Python

Power BI

ETL

Data Bricks

Snowflake

Communication

Collaboration

Analytics mindset

Education

Bachelor's degree in Computer Science/Statistics/Mathematics/Engineering

Tools

Power BI

Data Bricks

Snowflake

Job description

About the Role:

We are looking for a skilled and motivated Data Analyst to join our team. The ideal candidate will have 3 to 7 years of experience in data analytics, data visualization, and working with modern data platforms and ETL processes. You will play a critical role in transforming raw data into actionable insights to drive strategic business decisions.

Key Responsibilities:

• Extract, clean, and analyze large datasets from various sources using SQL and Python.
• Develop, maintain, and optimize ETL pipelines to ensure seamless data flow and availability.
• Design and create interactive dashboards and reports using Power BI to communicate findings effectively.
• Utilize Data Bricks and Snowflake environments for data processing and warehousing tasks.
• Collaborate with cross-functional teams including business, product, and engineering to understand data requirements and deliver analytics solutions.
• Perform root cause analysis and troubleshoot data-related issues.
• Apply advanced analytical techniques and statistical models to identify trends, patterns, and insights.
• Prepare and present detailed reports to stakeholders to support data-driven decision making.

Required Skills & Qualifications:

• Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
• 3-7 years of professional experience as a Data Analyst or in a similar role.
• Strong proficiency in Data Analytics principles and methodologies.
• Expertise in SQL for querying, data manipulation, and optimization.
• Solid programming skills in Python, with experience in relevant libraries (pandas, numpy, etc.).
• Hands-on experience with Power BI for data visualization and dashboard creation.
• Working knowledge of cloud data platforms such as Data Bricks and Snowflake.
• Experience with ETL processes and data pipeline development.
• Strong reporting skills and ability to create comprehensive and user-friendly reports.
• Exceptional problem-solving skills and an analytical mindset.
• Excellent communication and collaboration skills.