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Part Time Remote Data Analyst Jobs in Paramus, NJ

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

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:

Centerbrite

BCBA (Part-time) (Remote)

Newark, NJ · Remote

$90 - $110/hr

BCBA (Board Certified Behavior Analyst) - Part-time $100110/hr Flexible Schedule Hybrid (Remote + In-person) A rare opportunity to join a growing ABA practice as an early team member, with a real ...

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All JobsData Analyst JobsPart Time Remote Data Analyst JobsPart Time Remote Data Analyst Jobs in Paramus, NJ

Part Time Remote Data Analyst information

See Paramus, NJ salary details

$34.4K

$83.6K

$137.6K

How much do part time remote data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for part time remote data analyst in Paramus, NJ is $83,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,200.00 per year, depending on experience, location, and employer.

How to make $2000 a week working from home?

A part-time remote data analyst can increase earnings by taking on multiple freelance projects, improving skills in data tools like Excel or SQL, and building a strong client network. Earning $2000 weekly typically requires working several hours per week at competitive rates or securing high-paying contracts. Consistent performance and specialized expertise can help achieve higher income levels from home.

What are the most common challenges faced by part-time remote data analysts, and how can I overcome them?

Part-time remote data analysts often encounter challenges related to time management, communication across different teams, and maintaining data security. Effectively prioritizing tasks and setting structured work hours can help ensure deadlines are met, even with a flexible schedule. It’s important to proactively communicate with managers and team members to stay aligned on project requirements and deliverables, making use of collaboration tools like Slack or Microsoft Teams. Staying organized and keeping up with data privacy protocols will also help you maintain the quality and integrity of your analysis while working remotely. Adopting these practices can make your remote work experience more productive and rewarding.

How to make $1000 a week remote?

A part-time remote data analyst can earn $1000 a week by combining multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, gaining certifications, and applying to high-paying freelance platforms can help increase earnings to this level while maintaining flexible schedules.

What is a Part Time Remote Data Analyst job?

A Part Time Remote Data Analyst collects, processes, and analyzes data to help businesses make informed decisions while working remotely and on a part-time schedule. Responsibilities often include cleaning datasets, creating reports, and identifying trends using statistical tools. This role is ideal for individuals who excel at data interpretation and want flexibility in their work hours. Common industries hiring for this position include finance, healthcare, e-commerce, and marketing. Strong skills in Excel, SQL, Python, or R are typically required.

What are the key skills and qualifications needed to thrive in the Part Time Remote Data Analyst position, and why are they important?

To thrive as a Part Time Remote Data Analyst, a strong foundation in data analysis, statistical methods, and attention to detail is essential, typically supported by a relevant degree or coursework in data science, statistics, or a related field. Proficiency with analytical tools such as Excel, SQL, Python, or business intelligence platforms, as well as familiarity with data visualization software and data privacy best practices, is generally expected. Strong communication, time management, and problem-solving abilities help remote analysts effectively interpret data, meet deadlines, and present actionable insights to stakeholders. These skills ensure accurate, insightful analysis and foster productive collaboration in virtual team environments.

Is 40 too late for data science?

For a part-time remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, regardless of age. Continuous learning and practical experience are key factors in entering the field at any age.

Is it possible to get a remote job as a data analyst?

Yes, many companies offer remote data analyst positions that can be performed from anywhere with a reliable internet connection. These roles often require skills in data visualization, SQL, and Excel, and may involve using tools like Tableau or Power BI. Remote data analyst jobs are widely available across various industries and typically offer flexible schedules.
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Part Time Remote Data Analyst jobs near you

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

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