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Amazon Data Analyst Jobs in Baltimore, MD (NOW HIRING)

Data Engineer (Remote)

Baltimore, MD ยท Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system ... Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses. * Familiarity with ...

Support government data acquisition, analysis, and sharing efforts. * Focus on software ... Amazon S3, SQS/SNS Admin experience * Apache Airflow Workloads via UI or CLI a plus * Experience ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... a team, ability to analyze accident data, new processes, and machinery for potential safety ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... a team, ability to analyze accident data, new processes, and machinery for potential safety ...

Big data Architect

Baltimore, MD ยท On-site

$63.25 - $81.50/hr

... like Amazon Web Services. Lead the definition of guidelines, standards, strategies, security ... analytical tools with a focus on enterprise deployment capabilities like security, scalability ...

... data analytics to identify emerging trends, predict future challenges, and implement proactive ... S. and Canada, as part of Amazon's Middle Mile Operations. NASC ensures billions of packages move ...

Database Architect

Woodlawn, MD ยท On-site

$66.50 - $85.50/hr

DESCRIPTION: * Utilize the AWS database and data processing services, including Amazon RDS ... Write complex SQL queries for data analysis, transformation, and reporting. * Optimize queries ...

DESCRIPTION: * Utilize the AWS database and data processing services, including Amazon RDS ... Write complex SQL queries for data analysis, transformation, and reporting. * Optimize queries ...

Database Architect

Woodlawn, MD ยท On-site

$160K - $180K/yr

Utilize the AWS database and data processing services, including Amazon RDS, AuroraDB, DynamoDB ... Write complex SQL queries for data analysis, transformation, and reporting. Optimize queries ...

Database Architect

Woodlawn, MD ยท On-site

$66.25 - $85.25/hr

DESCRIPTION: * Utilize the AWS database and data processing services, including Amazon RDS ... Write complex SQL queries for data analysis, transformation, and reporting. * Optimize queries ...

Showing results 41-60

Amazon Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do amazon data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for amazon 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 an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How do I join Amazon as a data analyst?

To join Amazon as a data analyst, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong analytical skills and experience with tools like SQL, Python, or R. Applying through Amazon's careers website and demonstrating relevant experience and technical proficiency are essential steps in the hiring process.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong analytical thinking, effective communication, and problem-solving abilities. These skills enable analysts to interpret complex data, present insights clearly, and collaborate with cross-functional teams in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Baltimore, MD?

The most popular types of Amazon Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Amazon Data Analyst jobs?

Cities near Baltimore, MD with the most Amazon Data Analyst job openings:

Infographic showing various Amazon Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Data Engineer (Remote)

Magpie Health Analytics

Baltimore, MD โ€ข Remote

$117K - $140K/yr

Full-time

Re-posted 7 days ago


Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasetsenabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  •  Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.