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Data Analytics Project Manager Jobs in Princeton, NJ

With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast ... Additional Requirements: * 10+ years Project Management, Process, Implementation, System ...

... projects to non-technical, senior-level audiences; and the credit card industry and charge card ... Manage team in geographically diverse locations and coach reports through the analytics lifecycle.

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring ... Excellent stakeholder management skills, with experience communicating clearly to executives ...

About the role As Director of Data & Analytics, you'll own Product Data & Analytics across Product ... Excellent stakeholder management skills, with experience communicating clearly to executives ...

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Data Analytics Project Manager information

See Princeton, NJ salary details

$17

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$84

How much do data analytics project manager jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analytics project manager in Princeton, NJ is $60.28, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $70.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analytics project manager?

To excel as a Data Analytics Project Manager, you need a solid background in data analysis, project management methodologies (such as Agile or Waterfall), and a relevant degree in data science, statistics, or a related field. Familiarity with tools like SQL, Python, Tableau, and project management software (such as Jira or Asana), along with certifications like PMP or Certified Analytics Professional, is highly valued. Strong leadership, communication, and problem-solving skills help you effectively coordinate teams and manage stakeholder expectations. These abilities are crucial for driving data projects to completion, ensuring analytical insights align with business goals, and adapting to evolving project requirements.

What is a data analytics project manager?

A Data Analytics Project Manager oversees data-driven projects, ensuring they align with business goals and are completed on time and within budget. They collaborate with data analysts, engineers, and stakeholders to define project requirements, manage resources, and monitor progress. Their role involves coordinating data collection, analysis, and visualization to support strategic decision-making. Strong project management, communication, and analytical skills are essential for success in this role.

What does a data analytics project manager do?

A Data Analytics Project Manager is responsible for overseeing the end-to-end lifecycle of analytics projects, including defining project scope, setting timelines, and managing resources. On a daily basis, you may coordinate with data analysts, data engineers, and business stakeholders to ensure requirements are clear and progress is on track. You will likely review deliverables, address roadblocks, and adjust plans as needed while ensuring that the team is aligned with business objectives. Regular communication and reporting to upper management or clients is also a key part of the role.

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Practice Lead, Data & Analytics

Qvest US

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Who We Are
Qvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards.
Who We're Seeking
Qvest US is seeking an experienced Data & Analytics practitioner to lead our US Data & Analytics practice. You will be responsible for leading the D&A practice including technical direction, business development, team development and project delivery. This includes leading interactions with customers and channel partners, as well as internal stakeholders to promote the Qvest D&A practice and actively participate in the growth of Qvest.
The Practice Lead will work closely across Practices, Business Units, and Sales & Marketing to communicate strategy, offerings, and innovation within the practice, identifying opportunities for new and existing services and solutions that can be offered to clients. The role will also be responsible for working closely with clients in identifying their business needs and providing technical solutions. You will provide operational management on a regular basis to ensure that the business is set up to successfully impact Qvest revenue, retention, growth, and customer satisfaction.
What You'll Do
  • P&L Management and Business Development
  • Take responsibility for the Data & Analytics practice revenue and annual budgets, showing year over year growth.
  • Partner with vendors, leadership and sales to identify customer opportunities. Once identified, understand business objectives and challenges, establish trust and set vision with the customer, develop proposals, and win work for the practice.

  • Practice Management
  • Develop the practice's internal and external presence, evangelize & champion our services and products, and manage the day-to-day operations of the team, including project management, resource allocation, budgeting, and practice-level profit and loss management
  • Stay abreast of industry and technology changes in the areas of data and analytics technologies, especially as they lead us into a world rapidly moving towards AI
  • Cultivate and manage the portfolio of offerings, SOWs, and IP to maximize profitability and achieve revenue/margin objectives

  • Project Delivery
  • Architect solutions, create documentation, and produce delivery estimations while leading senior team members in these tasks. Engage with clients to understand business needs and translate them into requirements for both technical and non-technical audiences.
  • Follow consulting methodology to lead project teams through all core phases, including setup, requirements gathering, design, development, testing, and deployment. Engage in hands-on development using SQL, Python, and data visualization tools like Tableau and Power BI, and design data models on platforms such as Snowflake and Databricks.
  • Ensure client satisfaction by maintaining executive-level relationships through consistent support, impactful thought leadership, and high-quality project execution. Facilitate workshops, provide status updates, and lead meetings across executive levels, while articulating complex business challenges into actionable plans with clear communication.

What You'll Bring
  • Hands-on D&A expertise and experience including but not limited to:
  • 10+ years in a consulting or a data-focused role, and expert-level experience with SQL in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, Synapse, Fabric, or similar
  • 3+ years' experience in professional services and pre-sales as a data architect
  • Strong theoretical and practical knowledge of necessary tools for analytics on cloud computing platforms such as AWS, Azure, or GCP. E.g. S3, Athena, IAM, networking configuration and management, etc.
  • Significant hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, or similar
  • Significant experience designing and building relational database and/or data warehouses, and with managing and troubleshooting complex analytics solutions

  • Additional Requirements:
  • 10+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment
  • Passion for and proven experience with consulting business development
  • Eagerness to help build and lead a best-in-class Data & Analytics Practice
  • Experience with project planning, including tasks, budgeting, resource allocation and balancing
  • A track record of highly impactful work at prior companies, including both as a manager, a manager of managers, and as an individual contributor
  • Bachelor's degree in engineering, information systems, computer science, business administration, or other related analytical fields
  • Media & Entertainment or adjacent industry experience
  • An understanding of current key AI trends and the AI landscape as it relates to Data & Analytics
  • Knowledge of industry best practices in data and analytics

Preferred Experience
  • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)
  • Ability to automate data-related tasks using scripts and programming languages
  • Ability to profile, explore, and analyze data to identify common data patterns
  • Familiarity with established and emerging data technologies

Travel Requirements
Employees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee's primary office location, state, or region.
Remote & Hybrid Work
While remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive.
Life at Qvest
We were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams' skill sets and we prioritize our employees' professional growth paths. Qvest US is currently 300+ people strong and we've been recognized as a "Best Place to Work," a "Great Place to Work," "Fastest Growing," and "A Jewel."
Equal Employment Opportunity
Qvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.