Managed Services - Data Engineer - Experienced Associate

About the Role

As a Managed Services Data Engineer, 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. This role offers a dynamic environment where every experience is an opportunity to learn and grow, allowing you to build your personal brand and open doors to more opportunities.

You will focus on learning and contributing to client engagements and projects while developing your skills and knowledge to deliver quality work. Exposure to clients will help you build meaningful connections, manage and inspire others, and deepen your technical knowledge of firm services and technology resources.

Responsibilities

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

Requirements

• At least a Bachelor’s degree.
• At least 1 year of experience.

Qualifications

Preference for candidates with a degree in one or more 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

Skills

• Proficiency in Python and Java programming languages.
• Experience with data visualization tools like QlikView and Spotfire.
• Development of business intelligence solutions using Oracle BI.
• Data architecture development and management.
• Macroeconomic and microeconomic analysis skills.
• Excellence in data analysis and interpretation techniques.

Pay

The salary range for this position is $63,000 - $140,000. Actual compensation within the range will depend on skills, experience, qualifications, and location, as well as applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits

PwC offers a wide range of benefits, including:

• Medical, dental, and vision coverage
• 401k retirement plan
• Holiday pay
• Vacation time
• Personal and family sick leave

To view our benefits at a glance, visit https://pwc.to/benefits-at-a-glance.