drjobs IN_Senior Associate_Data Analyst_Data and Analytics_Advisory_Noida

IN_Senior Associate_Data Analyst_Data and Analytics_Advisory_Noida

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Job Location drjobs

Noida - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

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 forour 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 foreach 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

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/ (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

Data Analysis

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


Required Experience:

Senior IC

Employment Type

Full-Time

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