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Data Analysis Assistant Jobs in Baltimore, MD (NOW HIRING)

Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data analysis or reporting * Strong SQL skills

Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications * 2-3 years of experience in data analysis or reporting * Strong SQL skills

Data Analyst

Baltimore, MD ยท On-site

$32.27 - $41.75/hr

... analysis. * Provides training and coaching to procurement staff on updated. MINIMUM QUALIFICATIONS ... assistant to a higher ranking commissioned officer on a year-for- year basis for the required ...

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Data Analysis Assistant information

See Baltimore, MD salary details

$10

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$26

How much do data analysis assistant jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analysis assistant in Baltimore, MD is $18.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $21.25 per hour, depending on experience, location, and employer.

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?

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 analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

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.
What are the most commonly searched types of Data Analysis jobs in Baltimore, MD? The most popular types of Data Analysis jobs in Baltimore, MD are:
What job categories do people searching Data Analysis Assistant jobs in Baltimore, MD look for? The top searched job categories for Data Analysis Assistant jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Analysis Assistant jobs? Cities near Baltimore, MD with the most Data Analysis Assistant job openings:
Infographic showing various Data Analysis Assistant job openings in Baltimore, MD as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,377 per year, or $18.9 per hour.

DATA ANALYST

AaraTechnologies Inc

Maryland City, MD โ€ข On-site

Other

Re-posted 27 days ago


Job description

<> Data Analyst Retail & E-Commerce (2-3 Years Experience)

Company: AaraTech Inc

About the Role

AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail and ecommerce platforms. This role involves analyzing sales and transaction data, building dashboards, and supporting KPI reporting. You will work closely with business teams to enable data-driven decisions. Ideal for early-career professionals building analytics expertise.

Key Responsibilities
  • Analyze retail and ecommerce datasets
  • Build dashboards using Tableau or Power BI
  • Write SQL queries for data analysis
  • Perform data validation and quality checks
  • Support KPI and trend reporting
  • Assist with ad-hoc analysis
  • Document metrics and reports
Required Qualifications
  • 2-3 years of experience in data analysis or reporting
  • Strong SQL skills
  • Proficiency in Excel
  • Experience with Tableau or Power BI
  • Understanding of data validation concepts
  • Exposure to retail or ecommerce data
  • Strong analytical skills

Skills

Retail Analytics, E-Commerce Data Analysis, Sales Data Analysis, Customer Behavior Analysis, Transaction Data, SQL, Advanced Excel (Pivot Tables, VLOOKUP, Formulas), Tableau, Power BI, Data Visualization, Dashboard Development, KPI Reporting, Conversion Rate Analysis, Revenue & Margin Analysis, Trend Analysis, Data Cleaning, Data Validation, Data Quality Checks, Ad-hoc Analysis, Reporting Automation Basics, Documentation, Stakeholder Communication