IN_Senior Associate_Data Analyst _GCC_Advisory_Bangalore

PricewaterhouseCoopers Services LLP

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

3 days ago
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Job summary

PwC in Bengaluru invites a Data Analyst to leverage data to drive insights and support business decisions. You will use advanced analytics techniques, SQL, data modelling, and data visualisation to enable data-driven outcomes for clients.

The role focuses on data extraction, modelling, and collaboration with stakeholders, including forecasting and analytical projects. Growth opportunities, mentorship, and inclusive benefits are highlighted.

Qualifications

  • 3–5 years of experience in data analytics or a related field.
  • Strong SQL and data modelling skills.
  • Experience with data exploration, profiling, and cleansing.
  • Familiarity with data visualisation and reporting tools.
  • Ability to translate business questions into analytical solutions.

Responsibilities

  • Perform exploratory data analysis to identify trends, patterns, and actionable insights.
  • Write complex SQL queries to extract, transform, and analyse data from various sources.
  • Build and optimise data models to support reporting and analytics use cases.
  • Collaborate with stakeholders to understand business questions and translate them into analytical solutions.
  • Support data science initiatives, including forecasting and predictive modelling.
  • Apply Gen AI techniques where applicable to enhance data analysis or automation.
  • Document findings, methodologies, and data workflows clearly and concisely.

Skills

SQL
Data modelling
Data exploration
Data profiling
Data cleansing

Education

BE/B.Tech
MBA
MCA
MTech
MSC
BSC

Tools

Alteryx

Job description

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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

Data Analyst

Responsibilities
  • Perform exploratory data analysis to identify trends, patterns, and actionable insights.
  • Write complex SQL queries to extract, transform, and analyze data from various sources.
  • Build and optimize data models to support reporting and analytics use cases.
  • Collaborate with stakeholders to understand business questions and translate them into analytical solutions.
  • Support data science initiatives, including forecasting and predictive modeling.
  • Apply Gen AI techniques where applicable to enhance data analysis or automation.
  • Document findings, methodologies, and data workflows clearly and concisely.
Mandatory skill sets
  • SQL
  • Data modelling
  • Data exploration, profiling, and cleansing
Preferred skill sets
  • Data science techniques such as regression, clustering, or time series forecasting.
  • Prompt engineering, LLMs, synthetic data generation.
Years of experience required

3-5Years

Education qualification

BE/B.Tech/MBA/MCA/Mtech/MSC/BSC Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required

Bachelor of Engineering, Bachelor of Technology, MBA (Master of Business Administration)

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills
  • Generative AI
Optional Skills
  • Accepting Feedback
  • Active Listening
  • AI Fluency
  • AI-Human Collaboration
  • Algorithm Development
  • Alteryx (Automation Platform)
  • Analytical Thinking
  • Analytic Research
  • Big Data
  • Business Data Analytics
  • Communication
  • Complex Data Analysis
  • Conducting Research
  • Creativity
  • Customer Analysis
  • Customer Needs Analysis
  • Dashboard Creation
  • Data Analysis
  • Data Analysis Software
  • Data Collection
  • Data-Driven Insights
  • Data Integration
  • Data Integrity
  • Data Mining {+ 41 more}
Desired Languages

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

April 24, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'll help you grow your skills through challenging, meaningful work so you can go further.

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