IN-Senior Associate_ Data Analyst __Data & Analytics_ Advisory _Mumbai

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Senior Associate

Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.


*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "




Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

 



Responsibilities:

Position: Data Analyst / Senior Associate Experience: 4-8 Years Location: Mumbai Type: Full Time Certifications: NA About the Role: We are on the lookout for a sharp, self-driven Data Analyst with a strong command of SQL, Python, and relational databases. If solving complex data problems, building efficient data pipelines, and collaborating across teams excites you - you’ll thrive in this role. . Key Responsibilities: · Craft complex SQL queries and stored procedures for analytics and reporting. · Build robust Python scripts for automation, file handling, data cleanup, and transformation using Pandas/NumPy. · Design and manage scalable relational database schemas. · Apply basic data modeling (star/snowflake) to support reporting needs. · Optimize performance of queries and scripts on large datasets. · Collaborate with cross-functional teams to translate business needs into data solutions. · Document processes for transparency and reuse. Required Skills: · Advanced SQL: joins, window functions, stored procedures, tuning. · Python scripting: file I/O, string manipulation, exceptions, data wrangling. · Solid grasp of relational DB design and performance optimization. · Basic understanding of data modeling concepts. · Sharp problem-solving and analytical thinking. · Strong communicator with ability to engage stakeholders. Preferred Qualifications: · Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). · Exposure to Big data platforms.

· Familiarity with Git and CI/CD pipelines. · Knowledge of ETL/ELT workflows.

Mandatory skill sets:

· Advanced SQL: joins, window functions, stored procedures, tuning. · Python scripting: file I/O, string manipulation, exceptions, data wrangling. · Solid grasp of relational DB design and performance optimization.

Preferred skill sets :

· Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). · Exposure to Big data platforms.

Years of experience required:

Experience: 4-8 Years

Education qualification:

B.Tech / M.Tech / MCA/MBA

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Analysis

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
Not Specified

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date