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Part Time Data Transfer Jobs (NOW HIRING)

The Midtown Group

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Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing ... Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration ...

Remex, Inc

Data Analyst

Skillman, NJ

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

Remex, Inc

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

icorp

Engineer Site Support

Woodridge, IL · On-site

$40 - $55/hr

Time Commitment: ~100 hours per month (Flexible schedule / Part-time) * Experience Required ... Data Transfer: Familiarity with professional file transfer software and secure data systems.

icorp

Engineer Site Support

Woodridge, IL

$40 - $55/hr

Time Commitment: ~100 hours per month (Flexible schedule / Part-time) * Experience Required ... Data Transfer: Familiarity with professional file transfer software and secure data systems.

icorp

Engineer Site Support

Woodridge, IL

$40 - $55/hr

Time Commitment: ~100 hours per month (Flexible schedule / Part-time) * Experience Required ... Data Transfer: Familiarity with professional file transfer software and secure data systems.

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Part Time Data Transfer information

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

To excel as a Part Time Data Transfer Specialist, you typically need strong attention to detail, data entry accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software (like Microsoft Excel or Google Sheets), database management systems, and sometimes data migration tools is important for efficient performance. Being organized, reliable, and able to manage time effectively are soft skills that set top performers apart in this role. These skills and qualities ensure data integrity, minimize errors, and support smooth business operations during data migration or entry projects.

What is the difference between Part Time Data Transfer vs Part Time Data Entry?

AspectPart Time Data TransferPart Time Data Entry
Primary RoleTransferring data between systems or formatsInputting data into databases or spreadsheets
Skills & CertificationsBasic IT skills, data management knowledgeTyping speed, accuracy, basic computer skills
Work EnvironmentRemote or on-site, technical settingsOffice or remote, administrative settings
Industry UsageIT, telecommunications, data servicesBusiness, healthcare, retail, administrative roles

Part Time Data Transfer involves moving data between systems, requiring technical skills, while Part Time Data Entry focuses on inputting data accurately into systems. Both roles are often remote, but they serve different functions within organizations.

What are part time data transfer jobs?

Part time data transfer jobs involve moving, organizing, or inputting data from one source to another, such as transferring information between databases, spreadsheets, or digital platforms. These roles often require attention to detail, basic computer skills, and the ability to handle confidential information securely. Part time positions offer flexibility, making them suitable for students, parents, or anyone seeking supplemental income. The work can be done remotely or on-site, depending on the employer’s needs.

What are some typical challenges faced by part-time data transfer professionals, and how can they be managed?

Part-time data transfer professionals often encounter challenges such as managing large volumes of data within limited working hours and ensuring accuracy under tight deadlines. To manage these, it's important to develop strong organizational skills, maintain meticulous attention to detail, and utilize data validation tools to minimize errors. Additionally, clear communication with full-time team members ensures a smoother workflow and helps address any data discrepancies promptly. Building familiarity with the organization's data management systems can also streamline the transfer process.
What are the most commonly searched types of Data Transfer jobs? The most popular types of Data Transfer jobs are:
Part Time Data Transfer jobs near you
Part-Time Data Analyst

Part-Time Data Analyst

The Midtown Group

Arlington, VA • On-site

$65/hr

Part-time

Medical, Dental

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing, maintaining, and enhancing enterprise data analytics, reporting, and business intelligence solutions. The ideal candidate will possess strong technical expertise in data analysis, data engineering, visualization, and cloud-based analytics platforms while effectively collaborating with business stakeholders and technical teams to deliver actionable insights and innovative solutions.  This role with be 10-20 hours/week and require occasional on-site meetings.
This role requires a highly skilled professional who can translate complex business requirements into technical solutions, develop advanced analytics products, and support enterprise data initiatives utilizing modern cloud and business intelligence technologies.
Key Responsibilities

  • Design, develop, and maintain data analytics solutions, dashboards, reports, and visualizations using industry-standard tools and technologies.
  • Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets, automate processes, and support analytical initiatives.
  • Develop and maintain business intelligence solutions using Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
  • Create and maintain DAX and Power Query (M) code for data transformation, modeling, and reporting.
  • Collaborate with agency stakeholders to identify business and technical requirements and translate them into technical designs and implementation plans.
  • Engineer data solutions through prototyping, proof-of-concept development, testing, and full production implementation.
  • Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration strategies.
  • Support cloud-based analytics environments utilizing AWS or Azure services, including Databricks, Data Factory, and Data Lake technologies.
  • Serve as a liaison between business users, database administrators, and IT support teams to facilitate effective communication and solution delivery.
  • Troubleshoot and support existing applications, reports, dashboards, and data environments.
  • Review, analyze, modify, test, debug, and document existing code, reports, and analytical products.
  • Evaluate and document data security, continuity of operations, and compliance requirements for analytical systems.
  • Ensure compatibility between software, hardware, and data environments while supporting system design reviews and technical briefings.
  • Develop comprehensive technical documentation, including requirements, methodologies, data sources, business rules, and deployment procedures.
  • Provide guidance and mentoring to team members regarding data quality, data access, storage, analytics tools, and best practices.
  • Assist with training initiatives, workshops, and presentations for both technical and non-technical audiences.
  • Support data governance, data warehousing, relational database management, and data quality initiatives.
  • Ensure adherence to software development lifecycle (SDLC) processes, quality standards, and security guidelines.


Required Qualifications

  • US Citizenship Required
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, or a related technical field.
  • Minimum of 7 years of experience developing solutions using SQL, Python, R, JavaScript, or comparable programming languages.
  • Minimum of 3 years of experience working with Microsoft Power Platform technologies, including Power BI, Power Apps, and Power Automate.
  • Minimum of 1 year of experience working with cloud analytics services such as AWS or Azure, including Databricks, Data Factory, and Data Lake solutions.
  • Demonstrated experience developing analytical models, dashboards, reports, and business intelligence solutions that drive measurable business outcomes.
  • Advanced proficiency in SQL and relational database technologies.
  • Strong experience with ETL development, data integration, and data transformation methodologies.
  • Expertise in DAX, Power Query (M), and business intelligence reporting frameworks.
  • Experience with data warehousing, data governance, data quality, and data management best practices.
  • Knowledge of ODBC connection strings and external data source connectivity protocols.
  • Experience working with both structured and unstructured data sources.
  • Familiarity with cloud-based analytics and data engineering platforms.
  • Strong understanding of software development lifecycle methodologies and quality assurance processes.


The Midtown Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are a small, woman-owned business certified by the Women’s Business Enterprise National Council (WBENC). Operating from our headquarters in Washington, DC, we provide trusted staffing services nationwide. Our clients include thousands of the most prestigious Fortune 500 companies, law firms, financial organizations, tech innovators, non-profits, and lobbying firms, as well as federal, state and local government agencies.

Company Description

The client's infrastructure has plenty of areas in professional growth!