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Data Analysis Assistant Jobs (NOW HIRING)

Perry Ellis International

Assistant Planner

Miami, FL · On-site

Support the Director of Retail Planning with in-season business decks, ad hoc analysis, and data ... Assist with planning and forecasting of replenishment buys and related analyses. Assist in ...

ManTech

Wargame Data Analyst

Quantico, VA · On-site

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

ManTech International

Wargame Data Analyst

Quantico, VA · On-site

... and analysis. * Assist in scoping, developing, planning, executing, and assessing the wargame ... Bachelor's degree and at least 5 years' experience in data analysis. * Strong writing and critical ...

Jobs for Humanity

Data Entry Specialist

Phoenix, AZ

$17 - $22.50/hr

Generate and prepare reports based on data analysis. * Assist in identifying and resolving data discrepancies and issues. Required Skills and Qualifications: * High school diploma or equivalent ...

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Data Analysis Assistant information

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How much do data analysis assistant jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data analysis assistant in the United States is $19.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $21.39 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the role of a data analysis assistant. Human skills like interpreting complex data, making strategic decisions, and communicating insights remain essential. Data analysts and assistants who develop skills in tools like SQL, Python, or data visualization are better positioned to adapt to technological changes.

What are the top 3 skills for a data analyst?

A data analysis assistant should have strong analytical skills to interpret data accurately, proficiency in data manipulation tools like Excel, SQL, or Python, and good communication skills to present findings clearly. Familiarity with data visualization software such as Tableau or Power BI is also valuable. These skills enable effective data-driven decision-making and reporting.

Is 40 too late for data science?

For a Data Analysis Assistant or similar data-related roles, starting a career at 40 is feasible as many employers value experience and analytical skills. Success often depends on acquiring relevant tools like SQL, Python, or Excel, and building a strong portfolio or certifications, regardless of age.

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

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a Data Analysis Assistant, and why are they important?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A data analysis assistant supports data collection, cleaning, and organization to prepare datasets for analysis. They often use tools like Excel, SQL, or statistical software to identify trends and generate reports under the supervision of data analysts or scientists.

What are some common challenges faced by Data Analysis Assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
More about Data Analysis Assistant jobs
What cities are hiring for Data Analysis Assistant jobs? Cities with the most Data Analysis Assistant job openings:
What are the most commonly searched types of Data Analysis jobs? The most popular types of Data Analysis jobs are:
What states have the most Data Analysis Assistant jobs? States with the most job openings for Data Analysis Assistant jobs include:
What job categories do people searching Data Analysis Assistant jobs look for? The top searched job categories for Data Analysis Assistant jobs are:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $39,629 per year, or $19.1 per hour.
Assistant Planner

Assistant Planner

Perry Ellis International

Miami, FL • On-site

Other

Posted 19 days ago

Job description

The Assistant Planner provides crucial support to the Direct-to-Consumer (DTC) Buying and Planning teams, encompassing both e-commerce and retail stores. This role is essential for daily operational success, accurate reporting, and effective inventory management, building a foundational understanding of sales trends and planning processes.

Responsibilities:
Support the Director of Retail Planning with in-season business decks, ad hoc analysis, and data entry.
Own the end-to-end execution of weekly business reporting; accurately updating and distributing performance reports to the teams.
Learn and utilize planning tools and systems, including planning templates, weeks of supply (WOS) tracking, and forecast reporting.
Build a foundational understanding of inventory management principles, including Open-to-Buy (OTB) and sales trend analysis.
Collaborate with cross functional partners (Allocations, Buying, Ecommerce) to align on business goals and support growth through shared data analysis.
Assist with planning and forecasting of replenishment buys and related analyses.
Assist in quarterly hindsight recapping, focusing on insights related to key performance indicators (KPIs).

Qualifications:
Bachelor's degree in Business, Math, or Finance preferred.
Proven knowledge and strong proficiency in Microsoft Excel is required.
Strong analytical skills with the ability to interpret data, identify trends, and translate them into actionable insights for inventory and sales.
Exceptional organizational skills and meticulous attention to detail, especially when handling data.
Effective written and verbal communication skills for clear collaboration with team members.


Preferred Qualifications:
Demonstrated knowledge of data analytics principles and experience with information systems.
Proficiency in Business Objects.
Experience in Anaplan.
Personal Attributes:
A curious mind and positive attitude, showcasing accountability.
Ability to learn new systems and processes quickly, demonstrating resourcefulness.
An adaptable mindset.

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