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Remote Amazon Data Analyst Jobs in Baltimore, MD

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to ... remote

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

The purpose of a Sr. Data Analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

New

Data Engineer (Remote)

Baltimore, MD · 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 ...

Data Scientist

Woodlawn, MD · On-site +1

$102K - $133K/yr

Conducts analyses using tools and programming languages such as Excel, SQL, Enterprise Data Warehouse, and Amazon Web Services (AWS) platforms to explore and organize data, test hypotheses, predict ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

Data Engineer II

Columbia, MD · On-site +1

$93K - $100K/yr

... analytics ecosystem. This role leads innovation efforts around cutting-edge AI, owning the ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

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Remote Amazon Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do remote amazon data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote 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 does a remote Amazon data analyst do?

A Remote Amazon Data Analyst is responsible for collecting, analyzing, and interpreting data related to Amazon's sales, customer behavior, and marketplace trends. They use various tools and software to generate reports and insights that help businesses optimize their Amazon strategies. Working remotely, they collaborate with teams to identify growth opportunities, monitor performance metrics, and support decision-making. Their work often involves using Excel, SQL, and data visualization platforms to turn raw data into actionable insights.

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

To thrive as a Remote Amazon Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python, and Amazon analytics platforms like AWS QuickSight is typically required, along with experience in data visualization and reporting. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for collaborating across teams and presenting insights. These competencies are crucial for driving data-driven decisions that optimize business performance and support Amazon’s operational goals.

What are some common challenges faced by remote Amazon data analysts, and how can they be addressed?

Remote Amazon Data Analysts often face challenges related to collaborating across different time zones and accessing proprietary data securely. Staying aligned with cross-functional teams—such as marketing, supply chain, and product management—requires effective communication and proactive updates. Utilizing project management tools, scheduling regular virtual meetings, and maintaining thorough documentation can help bridge these gaps. Additionally, understanding Amazon's unique data structures and tools is essential for accurate analysis and reporting.

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 are popular job titles related to Remote Amazon Data Analyst jobs in Baltimore, MD?

For Remote Amazon Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

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

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

Data Analyst

Moore DM Group LLC

Lanham, MD • On-site, Remote

$70K - $85K/yr

Full-time

Medical, PTO

Posted 10 days ago


Job description

Description
As a Data Analyst, your focus will be on collecting, analyzing, and interpreting marketing data to inform strategies and decisions for nonprofit clients across diverse channels. This role will give you the insights you need to develop your expertise in omnichannel marketing, nonprofit fundraising, and analytic toolsets.
Moore is a data-driven constituent experience management (CXM) company achieving accelerated growth for clients through integrated supporter experiences across all platforms, channels, and devices. We are an innovation-led company that is the largest marketing, data, and fundraising company in North America, serving the purpose-driven industry with clients across education, association, political, and commercial sectors.
Check out www.WeAreMoore.com for more information.
Your Impact:
  • Design and maintain comprehensive reports, dashboards, Key Performance Indicators, and other business tools to inform client strategy.
  • Leverage your coding skills to transform data into useable information that can be presented in Power BI, Excel, and/or other reporting tools.
  • Apply technical skills to deploy automated procedures that drive efficient data ingestion and transformation.
  • Identify trends, patterns, and outliers in complex data sets to drive decisions.
  • Work with internal team members to develop deep knowledge of our clients' programs to produce more relevant analysis and deepen your analytic abilities.
  • Collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Identify errors in data files or reports and take measures to resolve them.
  • Perform other duties as required.

Your Profile:
  • Bachelor's degree
  • 1-3 years' experience in an analytical role
  • Experience in direct marketing preferred
  • Excellent analytical skills.
  • Effective communication skills. Ability to present findings clearly and concisely.
  • Familiarity with fundraising metrics, file segmentation techniques, and direct marketing strategy.
  • Demonstrated, hands-on experience with SQL and Python; a Snowflake environment a plus.
  • Fundamental understanding of relational database design and reporting systems.
  • Intermediate to advanced users of Excel with strong ability in formulas, functions, and pivot tables.
  • Experience with statistical analysis methods and concepts like randomized controlled trials, hypothesis testing, summary statistics, regression, and other explanatory and predictive modeling frameworks.
  • Experience with direct marketing and attribution across multiple channels, including but not limited to direct mail, website, digital advertising, email, and direct response TV.
  • Attention to detail with the intrinsic ability to identify anomalies, discover the root cause, and correct underlying issues

How We'll Support You:
  • Join the largest marketing and fundraising company in North America serving the nonprofit industry, where we prioritize innovation and professional growth.
  • Collaborate with industry subject matter experts with over 5,000 employees across the enterprise.
  • To help you stay energized, engaged, and inspired, we offer a wide range of benefits, including comprehensive healthcare, paid holidays, and generous paid time off so you can have the time and space to recharge and pursue your other passions and be with the people you care about.
  • Moore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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