Managed Services - Data Engineer - Senior Associate

PwC•Indianapolis, IN

1d•$77,000 - $202,000•Remote

About The Position

As a Managed Services - Data Engineer - Senior Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. In this role, you will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. You will be part of a dynamic team that uses a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers an opportunity to develop a deeper understanding of the business context and how it is evolving.

Requirements

At least a Bachelor's degree
At least 2 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 Business Intelligence tools like QlikView and Oracle BI
Developing data architecture and data pipeline solutions
Excelling in data visualization and interpretation techniques
Applying analytical thinking to solve complex data challenges
Embracing change and demonstrating learning agility in dynamic environments

Responsibilities

Developing and implementing innovative data solutions to optimize business performance and enhance competitive advantage
Leveraging advanced analytics techniques to drive insights and support informed business decisions for clients (DB2, SQL Server)
Building and maintaining data pipelines and architectures to support data collection and analysis (DataStage, ETL)
Utilizing business intelligence tools such as Oracle Business Intelligence and QlikView to create insightful reports and dashboards (AWS, Redshift)
Collaborating with stakeholders to identify data challenges and opportunities for continuous process improvement (GoldenGate, CDC)
Applying analytical thinking and data science skills to interpret complex data sets and inform strategic recommendations
Engaging in stakeholder management to foster meaningful client connections and anticipate their needs (managed services)
Navigating complex situations to deliver quality work and contribute to personal and professional growth (Workload Scheduler)
Upholding professional and technical standards in all client engagements and deliverables