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Web Analytics Manager Jobs in Maryland (NOW HIRING)

AUI Fine foods

Web Developer

Gaithersburg, MD

The developer will need to collaborate closely with AUI's marketing, management and technology ... Ability to analyze business requirement and user needs * Excellent problem-solving abilities

AUI fine foods

Web Developer

Gaithersburg, MD · On-site

The developer will need to collaborate closely with AUI's marketing, management and technology ... Ability to analyze business requirement and user needs * Excellent problem-solving abilities

Excentium, Inc.

The Web Application Developer will support the Air Force Review Boards Agency (AFRBA) Case Management Tracking Analysis and Reporting System (CMTARS) Operations and Maintenance program. This role is ...

Excentium, Inc.

WEB APPLICATION DEVELOPER

Andrews, MD · On-site

The Web Application Developer will support the Air Force Review Boards Agency (AFRBA) Case Management Tracking Analysis and Reporting System (CMTARS) Operations and Maintenance program. This role is ...

Hirekeyz Inc

Web Application Developer

Andrews, MD · On-site

The Web Application Developer will support the Air Force Review Boards Agency (AFRBA) Case Management Tracking Analysis and Reporting System (CMTARS) Operations and Maintenance program. This role is ...

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All JobsWeb Analytics JobsWeb Analytics Manager JobsWeb Analytics Manager Jobs in Maryland

Web Analytics Manager information

See Maryland salary details

$37.9K

$78.5K

$139.8K

How much do web analytics manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for web analytics manager in Maryland is $78,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $91,700.00 per year, depending on experience, location, and employer.

What does a web analytics manager do?

A Web Analytics Manager is responsible for collecting, analyzing, and interpreting data related to website performance and user behavior. They use various analytics tools to monitor metrics such as traffic, conversion rates, and user engagement. Their insights help organizations make data-driven decisions to improve website effectiveness, optimize marketing strategies, and enhance user experience. Additionally, they often collaborate with marketing, design, and development teams to implement changes based on their findings.

What are the key skills and qualifications needed to thrive as a web analytics manager?

To thrive as a Web Analytics Manager, you need expertise in data analysis, digital marketing, and statistics, usually supported by a degree in marketing, business, or a related field. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, and data visualization platforms is typically required, along with certifications like Google Analytics Individual Qualification (GAIQ). Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These skills are vital for driving data-informed decisions that optimize website performance and achieve organizational goals.

What are some typical challenges faced by web analytics managers when implementing new analytics tools or platforms?

Web Analytics Managers often encounter challenges such as ensuring seamless integration of new analytics tools with existing website infrastructure, maintaining data accuracy during migration, and securing buy-in from stakeholders for necessary changes. Additionally, they may need to train team members on new platforms and update documentation to reflect new processes. Addressing these challenges involves clear communication, detailed planning, and ongoing collaboration with IT, marketing, and development teams to ensure smooth adoption and accurate data collection.

What is the difference between Web Analytics Manager vs Data Analyst?

AspectWeb Analytics ManagerData Analyst
Required CredentialsBachelor's in Marketing, Data Science, or related field; certifications like Google Analytics or Adobe AnalyticsBachelor's in Statistics, Mathematics, or related field; certifications like Google Data Analytics or SQL
Work EnvironmentOversees analytics teams, collaborates with marketing and IT departments, manages analytics toolsAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageCommon in digital marketing, e-commerce, media companiesUsed across finance, healthcare, retail, and tech industries

The Web Analytics Manager focuses on overseeing web data strategies, managing analytics tools, and leading teams to optimize online performance. In contrast, Data Analysts interpret data sets, generate insights, and support various business functions. While both roles require strong analytical skills and familiarity with analytics platforms, the Web Analytics Manager has a broader leadership and strategic focus specific to web data.

What are the most commonly searched types of Web Analytics jobs in Maryland?

The most popular types of Web Analytics jobs in Maryland are:

What are popular job titles related to Web Analytics Manager jobs in Maryland?

For Web Analytics Manager jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Web Analytics Manager jobs in Maryland look for?

The top searched job categories for Web Analytics Manager jobs in Maryland are:

What cities in Maryland are hiring for Web Analytics Manager jobs?

Cities in Maryland with the most Web Analytics Manager job openings:

Web Analytics Manager jobs near you
Infographic showing various Web Analytics Manager job openings in Maryland as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $78,469 per year, or $37.7 per hour.

Analytics Developer (Onsite)

Futrend Technology, Inc.

Bethesda, MD • On-site

$80K - $110K/hr

Full-time

Re-posted 9 days ago

Job description

Futrend Technology is seeking an onsite experienced analytics developer to design, develop, and maintain scalable analytics and data solutions that enable data-driven decision-making across the organization. The ideal candidate is technically strong, detail-oriented, and excited about building high-quality analytics solutions that empower business stakeholders. This role reports to Analytics Lead and will collaborate with other technical and business teams across the library.
Responsibilities:
  • Design, build, and maintain scalable data pipelines. Ensure data accuracy, validation, and governance standards.
  • Develop and optimize SQL queries, views, and data models. Support ad-hoc data requests and analysis as needed.
  • Create and maintain dashboards and reports for digital analytics and customer experience data aiming for reporting automation.
  • Manage and maintain data tracking frameworks. Optimize implementation in accordance with new product developments.
  • Conduct server log analysis to identify anomalies, performance issues, and potential data integrity concerns.
  • Collaborate with business stakeholders to translate requirements into technical solutions.
  • Analyze and communicate generated insights on web analytics and customer experience data.
Qualifications:
  • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field, or 3+ years of experience in analytics development
  • Advanced proficiency in SQL with strong understanding of relational database concepts, including data modeling, normalization, and complex SQL joins
  • Experience working with cloud data platforms preferably BigQuery
  • Experience working with web analytics data and implementing digital analytics tracking (Google Analytics, Google Tag Manager)
  • Hands-on experience with at least one BI tool (Power BI, Tableau, etc.)
  • Experience with Python or other scripting languages
  • Experience working with APIs and data integrations
  • Strong problem-solving and analytical thinking
  • Ability to communicate technical concepts to non-technical stakeholders
  • Ability to leverage AI or machine learning tools to enhance analytics

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