3056 Data Visualization Designer jobs in New York,NY

New, Posted 4 hours ago

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2D Graphic Designer, Visual Merchandising

Tarte Cosmetics

New York, NY 10261

New, Posted 17 hours ago

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Lead Analyst Project Portfolio Analytics

Kenvue

Summit, NJ 07901

Hybrid~ 39 minPaid Time Off

Bachelor's Degree is required.
Minimum of 6 years of relevant business experience, preferably in a large, matrixed company within Consumer Goods, Healthcare, MedTech, Pharma, or similarly complex portfolio environments, is required.
Minimum of 3 years of direct experience in project / portfolio analytics, portfolio governance, PMO analytics, or portfolio decision support is required, preferably in a large, global company with complex project portfolios.
Minimum of 3 years of experience working with complex data sets and hands-on development of enterprise analytics products, including executive dashboards, certified datasets, and self-service reporting in Power BI; Tableau experience is a plus.
Demonstrated experience with an enterprise Project and Portfolio Management platform is strongly preferred; Planisware experience is highly preferred. Experience with Planview, Project Server, or similar tools is acceptable.
Proven track record of identifying appropriate methods to collect, govern, analyze, and present impactful project / portfolio data to a broad audience in support of prioritization, transparency, and decision enablement.
Strong business and financial acumen, with an understanding of financial principles and project / portfolio evaluation methods such as Net Sales, NPV, Margin, IRR, and benefits realization, and how to use this knowledge to make recommendations aligned to business goals is required.
Demonstrated experience driving analytics enablement and adoption, including user training, self-service enablement, certified dataset and dashboard portfolio governance, or adoption improvement initiatives, is required.
Experience in building and deploying new Project Portfolio Management analytic capabilities, including scenario planning, capacity modeling, benefits tracking, or portfolio trade-off views, is required.
Experience with data governance, data quality monitoring, report certification, semantic models, or workspace governance is required.
Ability to operate in a complex environment and interact across multiple levels of the organization, and lead discussions without line authority to build alignment across senior cross-functional partners is required.
Must be comfortable with ambiguity and ongoing organizational change. Ability to act as a change agent and adapt quickly to changing business and organizational dynamics is required.
Must be customer-focused, have excellent interpersonal and communication skills, and be able to work collaboratively as part of a global team.

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New, Posted 3 hours ago

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Director, Visual Merchandising (Americas)

Diptyque

New York, NY 10261

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Director, Analytics and Data Science (Hybrid)

Institute of International Education

New York, NY 10007

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree
At least eight (8) years of related work experience, or an equivalent combination of education and experience
Minimum 5 years working in data and technology
3 years in Enterprise Data Strategy
3 years leading Enterprise Data Management and Data Governance practices
Expert level knowledge of Data Visualization with PowerBI (or similar tools)
Experience working with ETL (Extract, Transform and Load), Data Transformations, Data Warehouse and Building Data Pipelines
Strong project management and presentation skills, including a track record of overseeing a portfolio of multiple projects and comfort with both large and small audiences
Knowledge of common tools and methods for data science, machine learning, and business intelligence
Capability to generate Data Visualization and Data Insights with existing data from Programs

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DiversityJobs

Staff Data Analyst

Optimum Communications

Long Island City, NY 11101

$169,541/yr

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Head of Technology, Intelligence Ventures

Spectrum

New York, NY 10036

Onsite

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications; comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets; experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment
Ability to operate in an ambiguous, early-stage environment while maintaining rigorous engineering standards and delivering against aggressive milestones
Experience building externally-consumed data or intelligence platforms — including developer-facing APIs, data marketplace integrations, or partner-accessible data products — with strong instincts around developer experience, access governance, and commercial platform design
Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
Experience leading consumer data intelligence, AI/ML platform, or data product engineering organizations — 10 years
Engineering leadership and team-building experience, including managing senior technical staff — 7 years

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