Global Managed Services Transition Team - Experienced Associate

PwC; New York (NY); On-site; USD 63,000 - 140,000; Full time

Job summary

PwC is seeking a Global Managed Services Transition Team - Experienced Associate in New York to transform raw data into actionable insights. You will automate data collection, analysis, and visualization to streamline processes and drive business growth.

Responsibilities include developing automation solutions, using Power BI for transformation and visualization, collaborating on data architecture, and contributing to predictive modeling and continuous improvement, with offshore coordination.

Qualifications

• Bachelor's degree required.
• Minimum 1 year of relevant experience.
• Strong analytical and communication skills.

Responsibilities

• Develop automation solutions to streamline data-related processes.
• Utilize Power BI for data transformation and visualization tasks.
• Engage in business analysis to identify opportunities for process improvement and automation.
• Collaborate with team members to design and develop data architecture solutions.
• Participate in daily scrum meetings to align on project progress and address challenges.
• Gather and analyze data from various sources to generate actionable insights.
• Support the development of automation frameworks to enhance system efficiency.
• Assist in the configuration management of automated systems to maintain consistency.
• Contribute to the design and development of predictive modeling solutions.
• Engage in continuous process improvement initiatives to drive business transformation.
• Collaborate with offshore teams to manage project resources and timelines.
• Utilize programming languages such as C++ and Java for solution development.
• Apply intellectual curiosity to explore innovative technologies and methodologies.

Skills

Power BI

C++

Java

Automation scripting

AI tools

Education

Bachelor's degree

Tools

Power Apps

Power Automate

Job description

The Opportunity

As a Global Managed Services Transition Team - Experienced Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will involve automating data collection, analysis, and visualization to streamline processes and enhance efficiency.

Responsibilities

• Developing and implementing automation solutions to streamline data-related processes


• Utilizing Power BI for data transformation and visualization tasks


• Engaging in business analysis to identify opportunities for process improvement and automation


• Collaborating with team members to design and develop data architecture solutions


• Participating in daily scrum meetings to align on project progress and address challenges


• Gathering and analyzing data from various sources to generate actionable insights


• Supporting the development of automation frameworks to enhance system efficiency


• Assisting in the configuration management of automated systems to maintain consistency


• Contributing to the design and development of predictive modeling solutions


• Engaging in continuous process improvement initiatives to drive business transformation


• Collaborating with offshore teams to manage project resources and timelines


• Utilizing programming languages such as C++ and Java for solution development


• Applying intellectual curiosity to explore innovative technologies and methodologies

What You Must Have

• At least a Bachelor's degree


• At least 1 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Engineering, Operations/Supply Chain


• Understanding of Managed Services delivery, including technical project management, architecture, and design methodologies, preference for Client Transitions experience


• Utilizing Power BI for data-driven insights


• Leveraging AI tools such as Copilot, Claude Code and Azure Hyperscaler


• Developing skills in Java and C++ programming languages


• Applying Microsoft Power Apps and Power Automate for workflow automation


• Excelling in data architecture development and data transformation

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.