IN_Senior Associate_Python Developer_Data Analytics_Advisory_Hyderabad

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: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order 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:

· Design, develop, and maintain responsive web applications and dashboards. · Collaborate with product managers and designers to translate requirements into intuitive interfaces. · Integrate front-end applications with backend APIs, including LLM endpoints. · Ensure cross-browser compatibility, accessibility, and mobile responsiveness. · Optimize application performance for speed and scalability. · Write clean, modular, and reusable code with proper documentation. · Work closely with backend and full-stack teams to align UI with API functionality.

Mandatory skill sets:

1. Proficiency in React.js / Angular / Vue.js (React preferred). 2. Strong knowledge of JavaScript (ES6+), HTML5, CSS3, TypeScript. 3. Experience integrating with RESTful and GraphQL APIs. 4. Familiarity with state management tools (Redux, Zustand, or similar). 5. Understanding of responsive design and accessibility standards (WCAG). 6. Git/GitHub version control.

Preferred skill sets:

7. Experience with Tailwind CSS / Material UI for design systems. 8. Familiarity with Next.js for SSR/SSG. 9. Understanding of API rate limits, authentication flows (OAuth2/JWT). 10. Knowledge of data visualization libraries (D3.js, Chart.js).

Years of experience required:

Experience and Qualifications · 5–8 years in front-end development with production-grade applications. · Experience in building products with API-driven architectures.

Education qualification:

o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills
Data Engineering

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, 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, Data Modeling, Data Pipeline {+ 38 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