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Data Cleaning Jobs (NOW HIRING)

Verifying data accuracy, performing data cleaning, and ensuring consistency across systems. * Reporting and Analysis: Generating reports and extracting insights from data for operational use.

Experience in setting up supervised unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection ensemble methods, performance metrics visualization.

Data Entry Specialist

$17.50 - $23.25/hr

Formatting inconsistencies Data Cleaning & Maintenance * Standardize datasets using: * Filters * Pivot tables * Formulas * Apply consistent: * Naming conventions * Categories * Data structures

Experience using SQL for acquiring and transforming real-world data, data cleaning, data collection or other data wrangling challenges Thanks & Regards Praveen Megan Soft, Inc. Direct No: +1(248) 266 ...

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

Data QA Engineer

Alpharetta, GA

$111K - $134K/yr

... 5 - Data Cleaning & Preprocessing (handling missing data, duplicates) • Skill 6 - Data Integrity & Consistency Validation • Skill 7 - Statistical Analysis & Anomaly Detection • Skill 8 - ...

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

Extract, clean, and organize data from multiple sources, including Google Sheets, Workiva, Looker, and Google Forms. * Partner with the Data Engineering team to consolidate data sources and automate ...

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

Data Scientist (Jr - Sr)

Reston, VA · On-site

$95K - $137K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

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Data Cleaning information

How much is paid for data entry?

Data entry jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based rates or freelance pay rates, which can vary widely. Accurate data entry requires attention to detail and proficiency with tools like spreadsheets or data management software.

What does a data cleaner do?

A data cleaner is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This involves identifying and fixing errors, removing duplicates, and standardizing formats using tools like spreadsheets or data management software. Data cleaning is essential for reliable analysis and decision-making in data-related roles.

What is a Data Cleaning job?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in the Data Cleaning position, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

How hard is data cleaning?

Data cleaning is a fundamental task for data analysts and data scientists, involving identifying and correcting errors, inconsistencies, and missing values in datasets. The difficulty depends on the complexity and size of the data, as well as the tools used, such as Excel or specialized software like Python or R. Developing skills in data validation and using automation can make the process more efficient.

How to make $2000 a week working from home?

Data cleaning jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $20 to $50 per hour. To reach $2000 weekly, one would need to work approximately 40 to 100 hours at these rates, often requiring strong attention to detail, proficiency with data tools, and consistent effort. Building a client base or working for companies that offer high-volume projects can help achieve higher weekly earnings from home.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

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What states have the most Data Cleaning jobs? States with the most job openings for Data Cleaning jobs include:
Data Technician

Full-time

Posted 11 days ago


Job description

Gritter Francona is looking to hire a Data Technician to support a contract with the Veterans Affairs.

A Data Technician will support a delivery team to enter, report, and document data under the guidance of the team lead.  This position is part of a team requiring daily interactions in a collaborate environment.

Key Responsibilities:

  • Data Entry and Processing: Entering, updating, and correcting data in databases, often handling high volumes of information.
  • Data Integrity and Quality: Verifying data accuracy, performing data cleaning, and ensuring consistency across systems.
  • Reporting and Analysis: Generating reports and extracting insights from data for operational use.
  • Documentation and Security: Maintaining data documentation (dictionaries/models) and adhering to data security policies.

Requirements

  • High school diploma or GED
  • Familiarity with databases
  • Ability to manage time and prioritization of tasks as a high level
  • Ability to communication effectively with managers and customers
  • Experience with tools such as ServiceNow, GitHub, Jira etc