Managed Services - Data Engineer - Experienced Associate

PwC•Indianapolis, IN

1d•$63,000 - $140,000•Onsite

About The Position

As a Managed Services - Data Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data & Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will apply a learning mindset and take ownership of your development, appreciating diverse perspectives and adopting habits to sustain performance. You will actively listen, ask questions to check understanding, and clearly express ideas. You will gather information from various sources to analyze facts and discern patterns, committing to understanding how the business works and building commercial awareness. This position offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build a brand for yourself and open doors to more opportunities.

Requirements

At least a Bachelor's degree
At least 1 years of experience

Nice To Haves

Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
Demonstrating proficiency in Python and Java programming languages
Utilizing data visualization tools like QlikView and Spotfire
Developing business intelligence solutions using Oracle BI
Engaging in data architecture development and management
Applying macroeconomic and microeconomic analysis skills
Excelling in data analysis and interpretation techniques

Responsibilities

Developing and implementing data-driven solutions to optimize business performance and enhance competitive advantage (data engineering, ETL)
Leveraging advanced analytics techniques to provide strategic insights and drive informed decision-making for clients (SQL optimization)
Building and maintaining data pipelines to support efficient data collection and analysis (DataStage)
Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create comprehensive reports and dashboards (DB2, SQL Server)
Collaborating with team members to gather and analyze data from various sources to discern patterns and trends (star schemas, dimensions)
Applying data architecture development skills to design and maintain robust database management systems (snowflake models)
Engaging in continuous process improvement to enhance data quality and integrity
Supporting client engagement by actively listening and responding to diverse perspectives and needs (regulated environments)
Participating in the development of business cases and market development strategies through data analysis and interpretation
Adapting to a fast-paced environment and taking ownership of tasks to consistently deliver quality work (job scheduling, UNIX)