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Remote Data Cleaning Jobs in New Jersey (NOW HIRING)

Campbell's

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering * Strong ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

Pepperidge Farm, Incorporated

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering * Strong ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

The Campbell?s Company

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

... data cleaning, and feature engineeringStrong analytical and problem-solving skillsAbility to ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Truvani

eCommerce Data Analyst - REMOTE

Newark, NJ · On-site +1

... CLEAN, simple ingredients. Many companies claim it. We actually mean it. As a leading provider of ... ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ...

Truvani

eCommerce Data Analyst - REMOTE

Newark, NJ · Remote

... CLEAN, simple ingredients. Many companies claim it. We actually mean it. As a leading provider of ... ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ...

Zortech Solutions

Data Analyst

Clark, NJ · Remote

Job Title - Data Analyst End Client - L Oreal Location - Clark, NJ, Remote. Primary Skills Required ... Paris, clean and correct data quality defects, establish data governance Soft Skills:

exogroup

Junior Data Analyst

Barnegat, NJ · On-site +1

You feel comfortable retrieving, cleaning, tidying and processing data from different sources and ... Flexible remote work; * Home office set up budget of 500 Eur; Is this not the right role for you?

IQVIA

Trial Delivery Manager, Multi TA

Parsippany, NJ · Remote

Clinical Trial Management & Central Trial Oversight (FSP Model) Home Based Remote Role - East Coast ... Coordinate data cleaning activities to support timely database lock. Leadership, Mentorship ...

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · Remote

$116.10K - $139.40K/yr

Description Remote position with the ability to travel to our NJ and NY locations up to 25% of the ... Prepare and clean large datasets to ensure high-quality inputs for training and fine-tuning ...

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · Remote

$116.10K - $139.40K/yr

Description Remote position with the ability to travel to our NJ and NY locations up to 25% of the ... Prepare and clean large datasets to ensure high-quality inputs for training and fine-tuning ...

ConnectOne Bank

Senior Data Engineer

Englewood Cliffs, NJ · On-site +1

$160K - $180K/yr

Design and implement scalable data models using dbt Labs, transforming raw data into clean datasets ... The capacity to thrive in a remote work environment, managing time effectively, and driving large ...

QCi

... into a clean, reliable web experience. Responsibilities * Build and maintain a unified React ... Familiarity with real-time data flows (WebSockets, SSE, or streaming telemetry endpoints) on either ...

ABB

Strategic Marketing Manager, Data Centers

Cedar Knolls, NJ · On-site +1

$95.90K - $117.80K/yr

At ABB , we help industries run leaner and cleaner-and every person here makes that happen. You'll ... Cary, NC office or full-remote in the United States. This role is contributing to the ...

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Remote Data Cleaning information

What are the key skills and qualifications needed to thrive as a Remote Data Cleaning Specialist, and why are they important?

To thrive as a Remote Data Cleaning Specialist, you need strong analytical skills, attention to detail, and experience with data management, often supported by a degree in a quantitative field. Proficiency with tools such as Microsoft Excel, SQL, Python (pandas), and data visualization platforms is commonly required. Excellent problem-solving abilities, time management, and clear communication help you collaborate effectively and maintain data integrity. These skills ensure that datasets are accurate, reliable, and ready for analysis, which is crucial for informed business decision-making.

What are some common challenges faced when working remotely as a data cleaning specialist, and how can they be addressed?

Remote data cleaning specialists often encounter challenges such as inconsistent data formats, limited access to original data sources, and communication gaps with team members. To address these, it's important to establish clear data standards, use collaborative tools for real-time updates, and schedule regular check-ins with stakeholders. Staying organized and documenting data cleaning processes also helps maintain quality and ensures team alignment, even when working from different locations.

What is remote data cleaning?

Remote data cleaning is the process of identifying, correcting, or removing inaccurate, incomplete, or irrelevant data from datasets, all performed from a remote location rather than on-site. Professionals use specialized software and scripts to clean and organize data, ensuring its quality and consistency before analysis or use in business processes. This role is essential for organizations that rely on accurate data for decision-making and often involves tasks such as deduplication, error correction, and formatting standardization.

What is the difference between Remote Data Cleaning vs Remote Data Entry?

AspectRemote Data CleaningRemote Data Entry
Primary FocusIdentifying and correcting errors in datasets, improving data qualityInputting and updating data into systems accurately
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData analysis platforms, spreadsheets, specialized cleaning toolsData management software, spreadsheets, databases
CertificationsData analysis, Excel, database managementBasic computer skills, typing certifications

Remote Data Cleaning involves reviewing and correcting datasets to ensure accuracy, often requiring analytical skills. Remote Data Entry focuses on accurately inputting data into systems. While both roles require attention to detail, data cleaning emphasizes quality control, whereas data entry emphasizes speed and accuracy in data input.

What are the most commonly searched types of Data Cleaning jobs in New Jersey? The most popular types of Data Cleaning jobs in New Jersey are:
What are popular job titles related to Remote Data Cleaning jobs in New Jersey? For Remote Data Cleaning jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Remote Data Cleaning jobs in New Jersey look for? The top searched job categories for Remote Data Cleaning jobs in New Jersey are:
What cities in New Jersey are hiring for Remote Data Cleaning jobs? Cities in New Jersey with the most Remote Data Cleaning job openings:
Remote Data Cleaning jobs near you
Infographic showing various Remote Data Cleaning job openings in New Jersey as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Analytics Associate

Human Capital Management Group

Jersey City, NJ • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:

As a data analytics associate, you will collaborate within the Human Capital Management Group to collect, manage, and analyze financial and workforce data. The role centers on delivering meaningful, actionable insights drawn from market and internal data to help underserved businesses make informed decisions and achieve better workforce outcomes.

What You’ll do:

  • Collect and clean data from internal and external sources.
  • Integrate, migrate, and aggregate large data sets from business and public sources.
  • Benchmark organizational and market data to identify trends, risks, and opportunities for client businesses.
  • Compile and interpret data into clear, visual reports with actionable recommendations, highlighting areas for strategic improvement.
  • Create dashboards and charts using Excel, Tableau, or Power BI to deliver insights, not to establish or define business KPIs or goals.
  • Collaborate in weekly meetings to present findings; engage clients and stakeholders for feedback and context.
  • Ensure robust data security and comply with all privacy requirements.

Qualifications:

  • Degree in Data Analytics, Statistics, Computer Science, Economics, Business, or related fields.
  • Experience or knowledge of data analysis and working with data sets.
  • Strong attention to detail and analytical thinking.
  • Ability to manage tasks independently and work collaboratively with a team.
  • Good communication skills and a willingness to learn.
  • Attended weekly meetings and maintained flexibility to support client workload and assigned planning tasks.
  • Fully remote — no travel required. Preference for candidates located in New Jersey.
  • This is a volunteer, unpaid position supporting HCMG’s community impact work.
  • A dependable computer and internet connection, along with a strong commitment to upholding HCMG’s data privacy and confidentiality standards.

Knowledge, Skills, and Abilities:

  • Proficiency in Excel, including advanced functions for data cleaning, integration, migration, and aggregation of large datasets.
  • Certifications like CAP, AWS certified data analytics, COMP TIA Data+, etc. are highly preferred.
  • Strong expertise in Python for data manipulation and analysis, as well as familiarity with SQL for database management, especially focused on consolidating and benchmarking diverse data sources.
  • Experience with data visualization tools (Tableau, Power BI) is a plus.
  • Demonstrated skill in benchmarking organizational and market data to identify strategic opportunities or risks for clients.
  • Familiarity with Google Workspace and Microsoft Teams for collaborative analysis, reporting, and stakeholder engagement.
  • Strong commitment to data quality, security, and confidentiality throughout all analytic processes.

Apply