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Part Time Data Analytics Manager Jobs (NOW HIRING)

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Design, develop, and maintain data analytics solutions, dashboards, reports, and visualizations ... Support data governance, data warehousing, relational database management, and data quality ...

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 ...

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 ...

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 ...

Use SQL and dashboarding tools to perform data analysis to identify insights about events, attendees, and organizations attending events * Leverage AI-enabled tools to generate and manage sensitive ...

Position Summary The UNC Kenan Institute is seeking a temporary, part-time Data Analyst with ... Management Preferences Excellent verbal and written communication skills. Special Physical/Mental ...

As a part-time member of the ERDCWERX (EWX) Innovation Hub administrative team in Vicksburg ... in database management, data analysis, and data visualization preferred. * Ability to manage ...

This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be ... Responsibilities Data Management & Analysis: * Merge EHR data with external datasets related to ...

This is a part-time, remote position requiring 20 hours per week. The ideal candidate will be ... Responsibilities Data Management & Analysis: * Merge EHR data with external datasets related to ...

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Data Entry Clerk

Houston, TX · On-site

$13 - $16/hr

Job Title: Part-Time Data Entry Clerk Location: Houston, TX (On-Site) Pay: $12.50-$17 per hour ... Excellent organizational and time management skills * Positive attitude and willingness to help ...

September 1, 2026 Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week Job Summary The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ...

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Data Entry Clerk

Houston, TX · On-site

$13 - $16/hr

Job Title: Part-Time Data Entry Clerk Location: Houston, TX (On-Site) Pay: $12.50-$17 per hour ... Excellent organizational and time management skills * Positive attitude and willingness to help ...

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Part Time Data Analytics Manager information

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$31K

$97.1K

$172K

How much do part time data analytics manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for part time data analytics manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Data Analytics Manager vs Data Analyst?

AspectPart Time Data Analytics ManagerData Analyst
Required CredentialsBachelor's degree in data-related field, some managerial experienceBachelor's degree in data, statistics, or related field
Work EnvironmentOversees projects, manages teams, strategic planningAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed in organizations needing leadership in analytics projectsCommon in various industries for data processing roles
Search & Comparison IntentOften compared for leadership vs technical roles in analyticsCompared for entry-level or technical data roles

The Part Time Data Analytics Manager focuses on overseeing analytics projects and managing teams, requiring some managerial experience. In contrast, a Data Analyst primarily analyzes data and prepares reports without managerial duties. Both roles often require similar educational backgrounds but differ in scope and responsibilities, with the manager role emphasizing leadership and strategic planning.

More about Part Time Data Analytics Manager jobs
What cities are hiring for Part Time Data Analytics Manager jobs? Cities with the most Part Time Data Analytics Manager job openings:
What are the most commonly searched types of Part Time Data Analytics jobs? The most popular types of Part Time Data Analytics jobs are:
What states have the most Part Time Data Analytics Manager jobs? States with the most job openings for Part Time Data Analytics Manager jobs include:
Infographic showing various Part Time Data Analytics Manager job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Part-Time Data Analyst

Part-Time Data Analyst

The Midtown Group

Arlington, VA • On-site

$65/hr

Part-time

Medical, Dental

Posted 6 days ago

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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.