IN_Associate_Business Analyst_Data & Analytics_Advisory_PAN India

Overview

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.


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.

 

Responsibilities: 

 Roles & Responsibilities: 

• Business Analyst Responsibilities: 
  

•   - Analyze solutions through the lens of client requirement metrics as well as business domain. 
  

•   - Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business Intelligence solutions. 
  

•   - Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc., to drive key business decisions. 
  

•   - Work with data engineering, machine learning, and software development teams to enable the appropriate capture and storage of key data points. 
  

•   - Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication. 
  

•   - Execute quantitative analysis that translates data into actionable insights. 
  

•   - Influence new opportunities for business based on internal and external data. 
  

•   Qualifications: 
  

• Minimum of 2+ years of relevant work experience in a Business Analyst, Data Analyst, or similar role. 
  

• Strong analytical and problem-solving skills. 
  

• Proficiency in business analysis tools and methodologies (for BA role). 
  

• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS (for DA role). 
  

• Experience with data visualization tools such as Tableau, Power BI, or similar. 
  

• Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). 
  

• Experience with project management and Agile methodologies is a plus. 
  
  
  
  

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Doctor of Philosophy, Bachelor of Technology, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Business Analysis

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 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