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Data Manipulation Jobs (NOW HIRING)

Leverage advanced Excel features and Power Query for data manipulation.Identify opportunities for process improvement through data analysis.Ensure data accuracy and integrity by cleaning and ...

Leverage advanced Excel features and Power Query for data manipulation. * Identify opportunities for process improvement through data analysis. * Ensure data accuracy and integrity by cleaning and ...

Sr. Data Engineer - AWS, Snowflake, Python

Detroit, MI ยท On-site

$113.40K - $136.10K/yr

Write, test, and deploy production-grade Python and PySpark code for data processing and manipulation. * Implement and manage data orchestration and scheduling using AWS services or other relevant ...

Data Analyst

West Palm Beach, FL ยท On-site

$60K - $80K/yr

The ideal candidate will have strong analytical skills and experience with data manipulation and visualization tools. Essential Duties and Responsibilities: * Collect, process, and analyze large ...

Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and ...

Strong experience with Python (data manipulation, scripting, analytics) * Experience working with SQL databases (Postgres preferred) * Experience with data extraction, transformation, and preparation ...

GCP Data Engineer

Dallas, TX ยท On-site

$113.30K - $136K/yr

Proficiency in SQL and Python for data manipulation and analysis * Excellent problem-solving and analytical skills Preferred Skills: * Certification in Google Cloud Platform * Experience with Apache ...

Senior Data Analyst

Chicago, IL ยท On-site

$88.60K - $111.80K/yr

Proficient in complex data manipulation and retrieval. * AWS (S3) : Experience consuming and managing data in cloud storage. * Snowflake : Hands-on background in cloud data warehousing. * Linux ...

Good to have experience on retrieving data from files or data bases, Data Manipulation,Views,Hiliting & Mining Good to have hands on experience on SQL & Hive Problem solving and good communication ...

Good to have experience on retrieving data from files or data bases, Data Manipulation,Views,Hiliting & Mining Good to have hands on experience on SQL & Hive Problem solving and good communication ...

Snowflake DBT Engineer

New York, NY ยท On-site

$125.30K - $150.40K/yr

Python Scripting Utilize Python for data manipulation automation and integration tasks Qualifications / Technical Skills * Experience Minimum of 8 years of experience in data engineering

Good to have experience on retrieving data from files or data bases, Data Manipulation,Views,Hiliting & Mining Good to have hands on experience on SQL & Hive Problem solving and good communication ...

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Data Manipulation information

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$34K

$82.6K

$136K

How much do data manipulation jobs pay per year?

As of May 29, 2026, the average yearly pay for data manipulation in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Data Manipulation job?

A Data Manipulation job involves processing, organizing, and transforming raw data to make it more usable for analysis and decision-making. Professionals in this role use tools like SQL, Python, or Excel to clean, structure, and modify data. Their tasks may include merging datasets, removing duplicates, correcting errors, and optimizing data storage. This role is critical in industries that rely on accurate and well-structured data for reporting, analytics, and business intelligence.

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

To excel in Data Manipulation roles, candidates generally need strong analytical skills, proficiency in data processing, and a relevant degree in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms, along with certifications like Microsoft Certified: Data Analyst Associate, are frequently expected. Attention to detail, problem-solving abilities, and effective teamwork are key soft skills that enhance performance in this position. These combined competencies ensure clean, reliable datasets that drive accurate business insights and data-driven decision-making.

What are some typical daily tasks involved in a Data Manipulation role?

In a Data Manipulation role, you can expect to spend your days cleaning, transforming, and organizing raw data to ensure its accuracy and usability for reporting or analysis. Responsibilities often include writing scripts to automate data workflows, identifying and correcting inconsistencies, integrating data from multiple sources, and collaborating closely with data analysts and business teams. You may also be tasked with creating documentation to track data changes and establishing protocols for data quality assurance. This hands-on work is crucial for delivering high-quality, actionable data that supports organizational objectives.

What does Data manipulation do?

Data manipulation involves adjusting, organizing, and transforming data to make it suitable for analysis or reporting. Data manipulation roles typically require skills in tools like Excel, SQL, or programming languages such as Python or R, and focus on ensuring data accuracy and consistency for decision-making.
What cities are hiring for Data Manipulation jobs? Cities with the most Data Manipulation job openings:
What are the most commonly searched types of Data Manipulation jobs? The most popular types of Data Manipulation jobs are:
What states have the most Data Manipulation jobs? States with the most job openings for Data Manipulation jobs include:
Infographic showing various Data Manipulation job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 21% Physical, and 79% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Functional / Data Analyst

5 Star Global Recruitment Partners

Temple, TX โ€ข Remote

Full-time

Posted 3 days ago


Job description

We are seeking a detail-oriented and skilled Financial/ Data Analyst to manage data extraction, transformation, and loading (ETL) processes. The ideal candidate will be pulling data from various sources (including Excel, CSV, SQL databases, and proprietary systems like Proclaim and Lead Docket), ensuring data accuracy, and collaborating with key stakeholders to align data insights across departments. This role involves manual data manipulation, ensuring data consistency across platforms, and troubleshooting discrepancies in calculated data.

KEY DUTIES & RESPONSIBILITIES Extract data from CSV files, Excel spreadsheets, SQL databases, and other data sources. Load and transform data into a centralized SQL database for reporting and analysis purposes. Work with stakeholders to perform regular data integrity checks to ensure accuracy and consistency of data across all systems.

Manual Data Manipulation & Reconciliation: Manually correlate settlement data provided for accurate case tracking. Confirm the integrity of data imported from data sources and address any discrepancies. Data Validation & Accuracy: Perform data validation to ensure accuracy in all data points across various platforms.

Reconcile differences in how data is calculated between marketing teams and internal reports. Identify and troubleshoot discrepancies in data calculation methodologies to ensure consistency. Data Updates & Maintenance: Regularly update data sets where necessary to reflect changes in settlements, cases, and client records.

Ensure that all data is maintained and updated in compliance with organizational data standards. Data Analysis & Reporting: Provide insights on data inconsistencies. Create reports and dashboards to present data insights to stakeholders in an easily understandable format.

JOB REQUIREMENTS Location Remote Education / Qualifications Bachelors Degree (or equivalent experience) in a quantitative or business discipline Working experience 5+ years IT experience 5+ years of data analysis experience in technology, applications, or operations 5+ years SQL experience 5+ years Excel experience Strong written and verbal communication (English) Strong interpersonal and networking skills Proficient with MS Office, including Outlook, Visio, PowerPoint, Word, and Excel REQUIRED SKILLS Proficiency in SQL and experience in working with relational databases. Advanced knowledge of Microsoft Excel, including formulas, pivot tables, and data cleaning techniques. Experience with ETL processes (Extract, Transform, Load) from Excel, CSV, and SQL databases.

Strong analytical skills with an eye for data accuracy and consistency. Excellent problem-solving skills and the ability to identify and resolve data discrepancies. Strong communication skills to collaborate with stakeholders and ensure alignment in data calculations.

PREFERRED SKILLS Experience working in legal or financial services, especially handling settlement data. Familiarity with marketing analytics and the ability to align marketing data with internal reports. Knowledge of data visualization tools like Power BI is a plus.

Must-Haves 5+ years of data analysis experience in technology, applications, or operations 5+ years SQL experience 5+ years Excel experience including expertise in Pivot tables and other advanced features 3+ years' experience doing KPI and financial data analysis 5+ years of ETL experience should be listed Experience MUST be focused more on data conversion as opposed to operational data ETL. #J-18808-Ljbffr