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Data Analytics Manager Jobs in New York (NOW HIRING)

American Express

Manager - Data Analytics

Manhattan, NY · On-site

$103K - $174K/yr

Product Analytics * Partner with Product Managers, Engineering, and Business stakeholders to define ... Data Science & AI * Design, develop, and deploy advanced analytics solutions using Python, Power BI ...

Gartner, Inc.

Manager, Data Analytics

Stamford, CT · On-site

We are looking for a Manager who is a proven analytical problem solver, has strong technical understanding of data / data systems and is an exceptional coach to be part of our growing team. This ...

Gartner

Manager, Data Analytics

Stamford, CT · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Gartner

Manager, Data Analytics

Stamford, CT · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Navtech, Inc.

Data Analytics

Jersey City, NJ · On-site

I have an opportunity for "Data Analytics @ 100% Remote" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

THE FORTUNE SOCIETY INC

Data Analyst, DOC

Queens, NY · On-site

$35.72/hr

Data Analytics Manager Status: Full Time; Regular; Non-Exempt Salary Range: $35.72 per hour (approximately $65,000 annually) Location: Long Island City, Queens Days/Hours: Monday-Friday 9am-5pm, one ...

CMI Media Group

Manager, Data Analytics

Manhattan, NY · On-site

$70K - $140K/yr

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

Ra

Marketing Analytics Manager

New York, NY

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

CMI Media Group

Manager, Data Analytics

Manhattan, NY · On-site

Manager, Data Analytics - Drive Innovation in Healthcare Marketing Do you thrive on turning data into actionable insights that drive real-world impact? Are you passionate about the healthcare ...

Ra

Marketing Analytics Manager

Florham Park, NJ

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in New York

Data Analytics Manager information

See New York salary details

$33.9K

$106.3K

$188.2K

How much do data analytics manager jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics manager in New York is $106,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $137,300.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in New York? The most popular types of Data Analytics jobs in New York are:
What are popular job titles related to Data Analytics Manager jobs in New York? For Data Analytics Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in New York look for? The top searched job categories for Data Analytics Manager jobs in New York are:
What cities in New York are hiring for Data Analytics Manager jobs? Cities in New York with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $106,280 per year, or $51.1 per hour.

Manager - Data Analytics

American Express

Manhattan, NY • On-site

$103K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

23rd of 150 rated financial services

Job description


You are a key analytics leader within the Technology Business Enablement (TBE) organization, responsible for transforming complex business challenges into actionable insights that drive product strategy and operational excellence. You will partner closely with Product, Technology, and Business leaders to identify opportunities, frame ambiguous problems, develop analytical approaches, and influence strategic decisions through data.
Success in this role requires more than technical expertise. You must be naturally curious, demonstrate strong business judgment, challenge assumptions with evidence, and communicate complex analytical findings in a way that enables confident executive decision-making.
You will leverage modern analytics, machine learning, generative AI, and business intelligence capabilities while maintaining a strong focus on delivering measurable business outcomes.
Responsibilities
Strategic Analytics & Critical Thinking
  • Lead complex and ambiguous business problems from definition through recommendation by developing structured analytical approaches.
  • Frame business questions into measurable hypotheses and identify the data required to validate assumptions.
  • Conduct root cause analysis across product, operational, and portfolio performance challenges, synthesizing multiple data sources into actionable recommendations.
  • Evaluate competing priorities using quantitative analysis, business context, customer impact, and strategic objectives.
  • Challenge assumptions by using data to validate or disprove existing beliefs while encouraging evidence-based decision making.
  • Influence product strategy by providing analytical recommendations that balance customer experience, operational efficiency, technical feasibility, and business value.

Product Analytics
  • Partner with Product Managers, Engineering, and Business stakeholders to define meaningful success metrics, KPIs, OKRs, Portfolio Metrics, Productivity Metrics, Agility Metrics, Capacity, and Demand Metrics.
  • Support roadmap planning through analytical insights that inform prioritization and investment decisions.
  • Participate throughout the Agile delivery lifecycle, contributing to Program Increment planning, backlog refinement, and feature prioritization.
  • Translate customer, operational, and portfolio data into actionable recommendations that improve product outcomes.

Data Science & AI
  • Design, develop, and deploy advanced analytics solutions using Python, Power BI, SQL, APIs, and modern cloud-based analytics platforms.
  • Build and operationalize machine learning models using regression, classification, and predictive analytics techniques.
  • Develop AI-powered automation workflows utilizing approved Generative AI capabilities, LLMs, Retrieval Augmented Generation (RAG), LangChain, vector databases, embeddings, and Agentic AI frameworks.
  • Evaluate AI use cases based on measurable business value, scalability, and operational risk.
  • Contribute to AI governance, model monitoring, and responsible AI implementation.

Leadership & Collaboration
  • Build trusted partnerships across Product, Technology, Architecture, Operations, and Business teams.
  • Influence decisions through compelling storytelling, executive-ready presentations, and evidence-based recommendations.
  • Facilitate discussions that align diverse stakeholder perspectives into shared priorities.
  • Promote a culture where hypotheses are tested, assumptions are challenged, and decisions are grounded in data.

Qualifications
Education & Experience
  • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Business Analytics, Information Systems, or related field required.
  • Master's degree preferred.
  • Four or more years of experience in Data Analytics, Product Analytics, Data Science, Business Intelligence, or related analytical disciplines.
  • Experience working within Agile software delivery environments.
  • Demonstrated success influencing cross-functional teams through data-driven recommendations.
  • Experience managing complex initiatives involving multiple stakeholders and competing priorities.

Required Technical Skills
  • Python
  • SQL
  • Power BI
  • Data Modeling
  • APIs
  • Advanced Excel
  • Machine Learning
  • Statistical Analysis
  • Cloud Analytics Platforms (GCP/LUMI)
  • AI/ML Frameworks
  • Business Intelligence
  • Workflow Automation
  • Data Visualization

Preferred AI Experience
Experience with one or more of the following:
  • Large Language Models (OpenAI, Claude)
  • Retrieval Augmented Generation (RAG)
  • LangChain
  • LangGraph
  • Vector Databases
  • Embeddings (OpenAI, BGE, TF-IDF, GloVe)
  • Agentic AI Frameworks
  • AI Evaluation and Monitoring

Core Competencies
Analytical Excellence
  • Frames ambiguous problems into structured analytical approaches.
  • Develops hypotheses and validates assumptions using quantitative and qualitative evidence.
  • Performs root cause analysis across complex business challenges.
  • Synthesizes multiple data sources into meaningful business insights.
  • Balances analytical rigor with practical business decision making.

Business Judgment
  • Understands how analytics influences product strategy.
  • Recommends priorities based on customer value, business impact, and organizational goals.
  • Recognizes trade-offs and communicates risk effectively.
  • Makes sound recommendations despite incomplete information.

Stakeholder Management
  • Builds trust across cross-functional teams.
  • Influences without formal authority.
  • Communicates with clarity at all organizational levels.
  • Demonstrates ownership and accountability.

Innovation & Learning
  • Demonstrates curiosity and continuous learning.
  • Experiments with emerging AI capabilities responsibly.
  • Encourages innovation while balancing governance and risk.
  • Seeks opportunities to improve processes through automation and analytics.

About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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