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.

About the Data & Analytics Department

PwC is one of the first Big-4 companies in Kazakhstan to invest in a dedicated Data & Analytics department. Currently, the team consists of professionals with different backgrounds and work experiences. Data & Analytics team has many common projects with PwC Strategy & Operations Consulting, ESG Consulting, and Digital Consulting teams. The team operates in Kazakhstan, Uzbekistan, Kyrgyzstan, Azerbaijan, Georgia, and Mongolia.

Description

PwC Kazakhstan is looking for an Associate to join our Data & Analytics department. The focus will be on conducting market research for various industries, including finance, retail, and other key sectors. The role involves gathering, analysing, and interpreting data to generate actionable insights for clients. The successful candidate will work closely with cross-functional teams to support decision-making processes, develop market research reports, and contribute to strategic advisory projects.

Requirements

Minimum of 1 year of professional experience in data analytics, consulting, research, or a related field.

Excellence in creating research reports and executive presentations.

Strong analytical skills with the ability to process and interpret large datasets, identify trends, and extract meaningful insights.

Strong communication and presentation skills, with the ability to convey complex findings in a clear and structured manner.

Familiarity with BI tools (Power BI, Tableau, or equivalent) and data visualization techniques.

Experience with Python, R, SQL for data analysis is preferred.

Prior experience in consulting firms, financial institutions, or data-driven research organizations is a strong advantage.