1

Data Analytics Project Manager Jobs in Secaucus, NJ

Manage the performance, career tracks, and professional growth of Analytics Managers and Leads ... Step in to lead work streams directly if a Lead is unavailable or if a project requires senior ...

Manage the performance, career tracks, and professional growth of Analytics Managers and Leads ... Step in to lead work streams directly if a Lead is unavailable or if a project requires senior ...

Project Manager

New York, NY · On-site

$170K - $175K/yr

Manage end-to-end data analytics engagements aimed at solving complex business problems for clients. Gather business requirements, develop project plans, define milestones, and coordinate efforts ...

Position Summary The Business Analyst / Project Manager serves as the bridge between business teams ... Experience with enterprise system integrations and data exchange. * PMP, PMI-PBA, CBAP, Scrum ...

We are seeking a detail-oriented Project Manager with a strong background in portfolio data management and analytics . This role is pivotal in supporting enterprise-wide prioritization by ensuring ...

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

Showing results 41-60

Data Analytics Project Manager information

See Secaucus, NJ salary details

$17

$58

$81

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 Secaucus, NJ is $58.47, according to ZipRecruiter salary data. Most workers in this role earn between $50.58 and $68.41 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.

What job categories do people searching Data Analytics Project Manager jobs in Secaucus, NJ look for? The top searched job categories for Data Analytics Project Manager jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Data Analytics Project Manager jobs? Cities near Secaucus, NJ with the most Data Analytics Project Manager job openings:
Infographic showing various Data Analytics Project Manager job openings in Secaucus, NJ as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,613 per year, or $58.5 per hour.

Data Analysis Manager - Strategy and Analytics

Capital One

New York, NY • On-site

Full-time

Re-posted 11 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Data Analysis Manager - Strategy and Analytics
Data is at the center of everything we do at Capital One. Your role as a Data Analyst on the team will heavily leverage your deep expertise in SQL and data transformation. You will be a creative data wrangler, comfortable with extracting, modeling, and transforming large, complex datasets to support our consumers. This requires more than just the ability to write complex, performant queries; you must also possess a thorough understanding of database structures, warehousing best practices, query profiling, and optimization techniques for data modeling and data governance. Ultimately, this is an analytics engineering role supporting not only analysts in the Strategy & Analytics team but a swathe of other data customers across a broader team who are hungry for data, metrics, and insights.
What you'll do:
  • Own the transformation layer, applying best practices to design and implement data cubes, warehouses, and other data models to best serve our users. Define, manage, and implement the analytics engineering and infrastructure roadmap.
  • Level up our data models, infrastructure, and dashboard interfaces to drive effective self-service. Liaise with team members and other data customers to understand and meet their analytical needs.
  • Drive quality metadata and data discovery with a semantic layer-for both AI and humans. Excited to work alongside AI tools, not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses
  • Act as a performing data steward. Define and enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability
  • Drive a high level of data quality and observability of our data at all stages of the data lifecycle.
  • Support modernization and migration initiatives from legacy reporting platforms.
  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
  • Drive a single source of truth of trusted metrics and data that users can find and understand easily and make decisions with confidence.

What you'll do:
  • Drive current and future strategy by leveraging your analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in new and evolving environments
  • Leverage analytics to create a customer experience above our peers
  • Be a part of the full life cycle of projects and see end results
  • Collaborate across business units
  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
  • Experience real work life balance, with little travel involved

On any given day you will be:
  • Driving high data and code quality, consistency, and simplicity.
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Working with large and complex databases containing millions to billions of records
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests
  • Enhancing self-service offering with enhanced data cubes, dashboards, and AI interfaces
  • Consulting on the design and implementation of new production and data storage systems

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong analytics engineering component.
Basic Qualifications:
  • Currently has, or is in the process of obtaining a:
  • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or
  • Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming

Preferred Qualifications:
  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 7 years of professional data analysis work experience
  • At least 4 years of experience with Python, R, Spark or SQL
  • At least 1 year of experience in people management
  • At least 1 years of project management experience
  • At least 1 year of experience in Tableau
  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Data Analysis Manager
New York, NY: $179,700 - $205,100 for Data Analysis Manager
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom