Associate/Senior Associate to Data, Analytics, AI Department (Advisory)

Almaty

Description

PwC Kazakhstan is seeking a technically strong Associate or Senior Associate to join our Data & Analytics team, with a primary focus on Business Intelligence Engineering. This role is perfect for someone who combines a background in business intelligence and data engineering with the ability to design robust data architectures. Experience with web development in cloud environments is a strong advantage.

Beyond core BI work, you’ll collaborate across the department on a variety of tasks from developing insightful presentations to supporting diverse, data-related projects. We’re looking for someone who pairs technical expertise with excellent communication and consulting skills

Key Responsibilities

Business Intelligence & Data Architecture

  • Design, build, and maintain robust BI solutions and data pipelines that support business decision-making.
  • Design and optimize data models, data warehouses, and ETL processes to ensure efficient data flow and high data quality.
  • Develop and maintain interactive dashboards and reports using BI tools (e.g., Power BI, Tableau).

Cross-Functional Support

  • Use Python (and other relevant tools) for data processing, transformation, and analysis tasks.
  • Prepare and customize presentations with clear data visualizations and insights tailored for internal and client stakeholders.
  • Collaborate with different teams on various tasks, providing technical and analytical support where needed.
  • Maintain and enhance internal web applications built primarily with React (front end) and Node.js (back end).
  • Work with NoSQL databases (primarily MongoDB) to store, query, and manage application data efficiently.

Requirements

Must haves

  • Experience designing and developing BI solutions, data pipelines, ETL processes, and dashboards (e.g., Power BI, Tableau).
  • Solid understanding of data modeling and data architecture.
  • Proficiency in SQL for querying, data transformation, and data quality checks.
  • Familiarity with Python for data processing and automation tasks.
  • Excellent teamwork and communication skills, with the ability to convey complex
    technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Data Analytics, or a related field.

Nice to have

  • Experience maintaining or developing web applications, preferably using React (other
    frameworks like Angular/Vue are also valued).
  • Backend experience in Node.js or similar server-side technologies.
  • Familiarity with NoSQL databases (e.g., MongoDB).
  • Experience with one or more cloud platforms (Azure, GCP, or AWS).

PwC Data Analytics & AI