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Remote Data Analytics Project Manager Jobs in New York

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Proven ability to design and manage ETL pipelines and database architectures * Advanced SQL skills ... Analytical & Data Science Expertise * Strong statistical analysis skills with hands-on experience ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

Proven ability to design and manage ETL pipelines and database architectures * Advanced SQL skills ... Analytical & Data Science Expertise * Strong statistical analysis skills with hands-on experience ...

Jackpot

Director of Data & Analytics

New York, NY · On-site +1

$170K - $200K/yr

Reporting to the Chief Strategy & Data Officer, you'll build and manage a data organization that ... While this is a remote position, you must be located or willing to relocate to the NYC Metro area ...

HR1Systems

Project Manager

Jersey City, NJ · On-site +1

Support clients and internal team members with data analytics, research, troubleshooting and ... Remote work * Annual international company retreats * Health and Wellness The wage range for this ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

System One

Project Manager

Raritan, NJ · Remote

Hybrid - 2 days onsite, 3 days remote Overview The Global Medical Affairs Project Manager will ... In-depth knowledge of study methodology, data analysis techniques, and critical review of ...

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All JobsData Analytics Project JobsRemote Data Analytics Project Manager JobsRemote Data Analytics Project Manager Jobs in New York

Remote Data Analytics Project Manager information

What is a remote data analytics project manager?

A Remote Data Analytics Project Manager oversees data analytics projects while working from a remote location, often coordinating virtual teams and managing project timelines, resources, and deliverables. They bridge the gap between technical data teams and business stakeholders, ensuring that analytics solutions align with business goals. These professionals are responsible for project planning, risk management, communication, and quality assurance throughout the project lifecycle. Their role requires strong leadership, analytical skills, and proficiency with data analytics tools and project management methodologies.

How does a remote data analytics project manager effectively coordinate with distributed analytics teams?

Remote Data Analytics Project Managers rely on robust communication tools and clear project management processes to ensure all team members stay aligned, regardless of location. They frequently schedule virtual meetings, set up centralized dashboards for tracking progress, and use collaboration platforms to share updates and resolve issues quickly. Building strong relationships with data analysts, engineers, and stakeholders is key to anticipating challenges and maintaining transparency throughout the project lifecycle. This approach helps ensure deadlines are met and project goals are achieved, even in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analytics project manager, and why are they important?

To thrive as a Remote Data Analytics Project Manager, you need a solid background in data analytics, project management methodologies, and typically a bachelor's degree in a related field. Familiarity with analytics tools (like Tableau, Power BI), project management software (such as Jira or Asana), and certifications like PMP or Agile are highly beneficial. Exceptional communication, problem-solving, and leadership skills help coordinate remote teams and manage stakeholder expectations. These skills ensure that projects are delivered on time, data-driven insights are actionable, and teams remain aligned despite working remotely.

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

AspectRemote Data Analytics Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; PMP or similar certificationsBachelor's in Statistics, Data Science, or related field; often no certification required
Work EnvironmentLeads projects, collaborates with teams remotely, manages timelinesAnalyzes data, creates reports, often works independently or in small teams remotely
Employer & Industry UsageTech, finance, healthcare companies managing data projects remotelyVarious industries, focusing on data analysis and reporting

The Remote Data Analytics Project Manager oversees data projects, coordinating teams and managing timelines, while Data Analysts focus on analyzing data and generating insights. Both roles often work remotely and require strong analytical skills, but project managers have additional responsibilities in leadership and project delivery.

What are popular job titles related to Remote Data Analytics Project Manager jobs in New York?

For Remote Data Analytics Project Manager jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Project Manager jobs in New York look for?

The top searched job categories for Remote Data Analytics Project Manager jobs in New York are:

What cities in New York are hiring for Remote Data Analytics Project Manager jobs?

Cities in New York with the most Remote Data Analytics Project Manager job openings:

Remote Data Analytics Project Manager jobs near you
Infographic showing various Remote Data Analytics Project Manager job openings in New York as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution.

Blockchain, Data Analytics (Remote)

Serotonin

New York, NY • On-site, Remote

$80K - $150K/yr

Full-time

Medical, Retirement

Re-posted 18 days ago

Job description

Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.
About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment

Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)

Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy

Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights

Bonus Points
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)

This position is ideal for someone who...
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact

Benefits
  • Competitive Salary
  • Health Insurance - (US Only)
  • 401(k) - (US Only)
  • Remote Work Environment
  • Maternity/Paternity Leave

$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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