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Assistant Data Analyst Jobs (NOW HIRING)

Data Analyst

Eagan, MN ยท On-site

Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and related requests * Assist in Market Analysis, Jurisdictional build and ...

Data Analyst - Entry Level Location: Orlando, FL 32827 Work Arrangement: Onsite Schedule: Monday ... Support Retail AML and Transaction Monitoring activities. * Assist with project planning and ...

Data Analyst

Orlando, FL ยท On-site

$22 - $24/hr

Data Analyst - Entry Level Location: Orlando, FL 32827 Work Arrangement: Onsite Schedule: Monday ... Support Retail AML and Transaction Monitoring activities. Assist with project planning and ...

Validate data and ensure recommendations are supported by thorough analysis and research. * Assist in documenting processes, metrics, and analytical findings. Minimum Qualifications * Bachelor ...

Candidate should be able to assist business stakeholders in building their dashboards * Supply chain domain knowledge Skill Matrix Skills Years of experience Advanced SQL Data Analytics Tableau Power ...

Data Analyst

Norcross, GA ยท On-site

$75K/yr

Identify trends and patterns in sales tax overpayments. * Assist in automating processes to improve data extraction and analysis efficiency. * Communicate findings and recommendations to internal ...

Create innovative solutions to an extensive range of complex data analysis requests * .Assist in the development of additional information system projects, as needed * Verify data quality to ensure ...

Data Analyst

Natick, MA ยท On-site

Support root cause investigations through data analysis and statistical evaluation. * Assist in developing automated reporting and data analysis tools to improve efficiency. * Document analysis ...

Data Analyst

Dallas, TX ยท On-site

$30 - $40/hr

This individual will work closely with internal stakeholders to evaluate trends, develop recommendations, and assist leadership with data-driven decision-making. Key Responsibilities * Analyze ...

Data Analyst

Dallas, TX ยท On-site +1

Create innovative solutions to an extensive range of complex data analysis requests * .Assist in the development of additional information system projects, as needed * Verify data quality to ensure ...

Data Analyst The ideal candidate is detail-oriented, technically capable, and comfortable working ... of data issues. * Assist with dashboard testing, user acceptance testing, validation, and ...

Data Analyst

Natick, MA ยท On-site

... โ€ข Assist in developing automated reporting and data analysis tools to improve efficiency. โ€ข Document analysis methods, assumptions, and results to support engineering decisions. โ€ข Present ...

In addition, this role will assist with curation and analysis of various other datasets and assist teams with integrating new data and information into existing and new reports. JOB DUTIES โ€ข Serves ...

... โ€ข Assist in developing automated reporting and data analysis tools to improve efficiency. โ€ข Document analysis methods, assumptions, and results to support engineering decisions. โ€ข Present ...

... โ€ข Assist in automating processes to improve data extraction and analysis efficiency. โ€ข Communicate findings and recommendations to internal teams and clients. Qualifications โ€ข Availability:

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Assistant Data Analyst information

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$28K

$71.7K

$137K

How much do assistant data analyst jobs pay per year?

As of Sep 14, 2026, the average yearly pay for assistant data analyst in the United States is $71,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $83,500.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

More about Assistant Data Analyst jobs

What cities are hiring for Assistant Data Analyst jobs?

Cities with the most Assistant Data Analyst job openings:

What are the most commonly searched types of Data Analyst jobs?

The most popular types of Data Analyst jobs are:

What states have the most Assistant Data Analyst jobs?

States with the most job openings for Assistant Data Analyst jobs include:

What are popular job titles related to Assistant Data Analyst jobs?

For Assistant Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Assistant Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $71,673 per year, or $34.5 per hour.

Data Analyst

Phoenix, AZ โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Data Analyst -Supply Chain & OperationsCompany Overview

Marketech International Corporation USA (MICU) provides comprehensive engineering, manufacturing, construction, and technical services supporting the semiconductor and high-tech industries. Our business scope includes semiconductor process and inspection equipment, consumable spare parts, equipment manufacturing support, cleanroom and MEP turnkey projects, DI/UPW water systems, gas and chemical supply systems, water treatment systems, and facility monitoring and control systems.

Job Overview

Marketech International Corporation USA is seeking a detail-oriented and analytical Data Analyst – Supply Chain & Operations to support data-driven decision-making across supply chain, procurement, project, and operational functions.

This position is responsible for collecting, organizing, analyzing, and presenting business and operational data to identify trends, improve reporting accuracy, and support business decisions. The Data Analyst will work closely with cross-functional teams to understand reporting requirements, maintain data quality, develop dashboards, and transform complex information into clear and actionable insights.

The ideal candidate is a quick learner with strong analytical and communication skills, advanced Microsoft Excel capabilities, and experience working with supply chain or operational data. The ability to communicate effectively in both Chinese and English is required due to regular interaction with internal and external stakeholders.

Key ResponsibilitiesData Analysis & Reporting
  • Collect, analyze, and interpret data from multiple business and operational sources.

  • Identify trends, patterns, discrepancies, and opportunities for process improvement.

  • Prepare recurring and ad-hoc reports to support management and departmental decision-making.

  • Develop meaningful metrics and KPIs to monitor operational and supply chain performance.

  • Translate complex data into clear findings and actionable recommendations.

Dashboard & Data Visualization
  • Create and maintain dashboards, reports, charts, and visualizations using Microsoft Excel, Power BI, and/or Tableau.

  • Develop reporting tools that allow teams and management to effectively monitor performance.

  • Improve existing reports and dashboards to increase accuracy, efficiency, and usability.

  • Present analytical findings in a clear and understandable format for technical and non-technical stakeholders.

Supply Chain & Operational Support
  • Analyze supply chain information related to purchasing, inventory, materials, suppliers, orders, lead times, and operational performance.

  • Assist teams with identifying shortages, delays, trends, and potential operational risks.

  • Support procurement, supply chain, project management, finance, and operations teams with data and reporting needs.

  • Assist with tracking supplier performance, material availability, costs, and other operational metrics.

Data Quality & Management
  • Review data for accuracy, completeness, and consistency across multiple sources.

  • Identify and resolve data discrepancies in coordination with appropriate departments.

  • Maintain organized records and reporting documentation.

  • Support continuous improvement initiatives related to data collection, reporting, and business processes.

Cross-Functional Collaboration
  • Collaborate with supply chain, procurement, engineering, project management, operations, finance, and other departments to understand business and reporting needs.

  • Communicate analytical findings and recommendations to internal stakeholders.

  • Support communication with Chinese- and English-speaking internal and external stakeholders.

  • Respond to ad-hoc data requests and provide timely analytical support.

QualificationsEducation & Experience
  • Bachelor's degree in Data Analytics, Business Analytics, Supply Chain Management, Statistics, Finance, Business Administration, Engineering, Information Systems, or a related field preferred.

  • Minimum of 1 year of experience in data analysis, supply chain, procurement, operations, business analytics, or a related field.

  • Experience working in semiconductor, manufacturing, engineering, construction, logistics, or another technical industry is preferred.

Required Skills
  • Bilingual in Chinese and English due to communication requirements with internal and external stakeholders.

  • Strong Microsoft Excel skills, including:

    • Formulas and functions

    • PivotTables

    • Data visualization and charts

    • Data organization and analysis

  • Experience with Power BI and/or Tableau.

  • Experience with SQL, Python, or other data-analysis tools is a must.
  • Basic knowledge of statistics and data analysis principles.

  • Strong analytical and problem-solving skills.

  • Ability to identify trends and communicate findings clearly.

  • Strong attention to detail and commitment to data accuracy.

  • Strong written and verbal communication skills.

  • Ability to collaborate effectively with cross-functional teams.

  • Ability to manage multiple reporting requests and priorities in a fast-paced environment.

Preferred Qualifications
  • Experience analyzing supply chain, procurement, inventory, logistics, or operational data.

  • Experience developing dashboards, KPIs, and management reports.

  • Experience with ERP or business systems such as SAP, Oracle, Microsoft Dynamics, or similar platforms.

  • Familiarity with semiconductor or high-tech manufacturing environments.

  • Experience working with large or complex datasets.

 Work Environment

This is a full-time onsite role supporting semiconductor, engineering, construction, operational, and corporate business environments. The position is primarily office-based and requires regular interaction with project teams, customers, vendors, subcontractors, and company leadership.

Occasional visits to semiconductor manufacturing facilities, construction sites, customer locations, or other active project environments may be required. The Business Coordinator must be comfortable working at a computer for extended periods, attending meetings, managing changing priorities, and supporting multiple departments in a fast-paced, deadline-driven environment.

The position may require occasional local travel and the ability to lift or move office materials, project documents, or supplies weighing up to 20 pounds.

Benefits
  • 100% Paid Benefits for the Employee, including Medical, Dental, Vision, and Life Insurance
  • Paid Time Off (PTO)
  • 401(k) Plan
Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.