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Part Time Data & Analytics Jobs in New York (NOW HIRING)

Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools * Perform other duties, as needed Qualifications: * 5+ years of experience in ...

For candidates with the right background, projects may include data analytics and insights using SQL. Key Responsibilities * Assist with event research to identify and validate key data inputs for AI ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Five or more years of experience in a data analytics role, ideally in a fast paced and ...

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... As our centralized data team grows, we're looking for a dedicated owner of the analytics ...

Employee discount programs Position Status Part Time Working Hours 19 Daily Work Shift Day Work ... analytical software for data analyses, such as STATA, SAS, R, mplus, and HLM. Preferred ...

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Part Time Data Analytics information

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$26

$59

$103

How much do part time data & analytics jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for part time data & analytics in New York is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $67.84 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Data & Analytics professional, and why are they important?

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

What are part-time data & analytics jobs?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part-time Data & Analytics professional typically collaborate with full-time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
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 Part Time Data & Analytics jobs in New York? For Part Time Data & Analytics jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Part Time Data & Analytics jobs? Cities in New York with the most Part Time Data & Analytics job openings:
Infographic showing various Part Time Data & Analytics job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $124,581 per year, or $59.9 per hour.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Posted 9 days ago


Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized