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Data Analyst Jobs in Baltimore, MD (NOW HIRING)

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 ...

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 ...

Data Analyst

Bowie, MD ยท On-site

Use sophisticated data analysis methods to support project team in creating deliverable for client * Work with clients to devise methods to optimize data capturing schemes and overall program ...

Lead data warehousing efforts and performing data analysis as needed across sets of transactional, operational, device, and various other data sources. Coordinate with the development team, business ...

Data Analyst LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and analytical ...

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and Communications (NC3) Enterprise Center (NEC) team at Fort Meade, MD. This role is more than just a job-it ...

We are looking for a results-driven Data Analyst to join the Nuclear Command, Control, and Communications (NC3) Enterprise Center (NEC) team at Fort Meade, MD. This role is more than just a job-it ...

B. Perform data analysis to identify trends, patterns, and correlations. C. Create data models, algorithm, and statistical techniques to solve problems. D. Develop actionable insights based on ...

Analyze and define data requirements and specifications. * Collection of metrics and data trends. * Ability to read, interpret, write and modify scripts on Windows and UNIX platforms. * Ability to ...

B. Perform data analysis to identify trends, patterns, and correlations. C. Create data models, algorithm, and statistical techniques to solve problems. D. Develop actionable insights based on ...

Data Analyst

Annapolis, MD ยท On-site

$130K - $190K/yr

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain, and transition novel and innovative FMI applications, capabilities, tradecraft, and insight from ...

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain, and transition novel and innovative FMI applications, capabilities, tradecraft, and insight from ...

Data Analyst

Baltimore, MD ยท On-site

$32.27 - $41.75/hr

The Data Analyst supports the Maryland Department of Human Services' mission by providing analytical and operational support to the Procurement Office. This position is responsible for evaluating ...

Lead Data Analyst

Fort George G Meade, MD ยท On-site

$144K - $154K/yr

GovCIO is currently hiring for a Data Analyst to lead development of data strategy. This position will be located in Fort Meaded, MD and will be an onsite position. Responsibilities The Data Analyst ...

Splunk Data Analyst

Laurel, MD ยท On-site

$103K - $218K/yr

Splunk Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None ...

Data Analyst 2

Annapolis, MD ยท On-site

$110K - $160K/yr

They analyze telemetry data from these systems to establish statistical baselines and create anomaly detection algorithms that can differentiate between typical operational variations and security ...

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Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in Baltimore, MD? The most popular types of Data Analyst jobs in Baltimore, MD are:
What job categories do people searching Data Analyst jobs in Baltimore, MD look for? The top searched job categories for Data Analyst jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Analyst jobs? Cities near Baltimore, MD with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,114 per year, or $39.5 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