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Analytics Manager Jobs in Silver Spring, MD (NOW HIRING)

We're Hiring for a Manager, Supply Chain Analytics! THE ROLE : The Supply Chain Analytics Manager will be responsible for gathering and analyzing data, generating actionable insights, and creating ...

The ideal candidate has hands-on experience supporting Federal data analytics and reporting programs of similar size and complexity, along with the project management discipline and technical ...

Senior Manager, Data Analysis At Capital One, data is at the center of everything we do. When we ... At least 2 years of experience with predictive analytics Capital One will consider sponsoring a new ...

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Analytics Manager information

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$66.7K

$129.6K

$185K

How much do analytics manager jobs pay per year?

As of Jun 22, 2026, the average yearly pay for analytics manager in Silver Spring, MD is $129,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $154,000.00 per year, depending on experience, location, and employer.

What Is an Analytics Manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What do analytics managers do?

Analytics managers oversee data analysis teams to interpret complex data sets, develop insights, and support business decision-making. They design data strategies, utilize tools like SQL and Tableau, and ensure data accuracy and integrity while managing projects and collaborating with other departments.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

Is AI replacing data analysts?

AI is transforming the role of analytics managers and data analysts by automating routine data processing and analysis tasks. However, human expertise remains essential for interpreting complex insights, making strategic decisions, and developing models. Data analysts who develop skills in AI tools and programming languages like Python or R are better positioned to adapt to these technological changes.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What does an analyst manager do?

An analytics manager oversees data analysis teams to develop insights that support business decision-making. They coordinate data collection, interpret complex data sets, and communicate findings to stakeholders, often using tools like SQL, Excel, or data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

What are the key skills and qualifications needed to thrive as an Analytics Manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
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Marketing Technology (AI Data & Analytics) Manager

Marketing Technology (AI Data & Analytics) Manager

Foley & Lardner LLP

Washington, DC • Hybrid

$116K - $175K/yr

Full-time

Posted 10 days ago


Job description

Overview

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It's a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too.

The Manager, Marketing Technology (AI Data & Analytics) will be responsible for strategic marketing and business development data analysis of data stored within Foley's Customer Relationship Management (CRM) system and other sources as needed to help identify the best possible revenue and operational efficiency opportunities. This Manager will be heavily involved in marketing technology and using AI to enhance, analyze, and output strategic data and further to ensure the right types of data are collected and stored with data hygiene guardrails and rules to ensure quality of data.  To that end, a part of this role will be analyzing the current state of data quality and making recommendations to improve the data. The incumbent understands leading marketing technology practices across the B2B marketing industry.  This role also requires a significant investment in data analytics and the Manager should be highly focused on finding new ways to use strategic data to give Foley a competitive advantage in the legal industry. 

Responsibilities
  • Ensure quality of data across marketing and other Foley systems.
  • Identify novel uses of AI to analyze and source data for strategic analysis and generating demand.
  • Use AI to enhance and enrich our data in addition to analyzing data and finding strategic opportunities.
  • Develop guardrails, processes, and quality controls for long term data hygiene.
  • Work with vendors to help improve the quality of our data.
  • Identify strategic opportunities for the firm through the analysis of data.
  • Work with others in the BD&M department and across the firm to help proactively use data to drive the business.
  • Ensure system controls are in place to help preserve and enhance the overall quality of data.
  • Create and run reports on a regular basis to provide updated data to various departments.
  • Create, manage, and follow data standards, processes and procedures.
  • Commit to high standards for data quality and strive for precision, accuracy and efficiency.
  • Look for, implement, and use tools that help better analyze data available for strategic marketing.
  • Provide superior client service to end users.
Qualifications
  • Bachelor's Degree required. #LI-Hybrid 
  • Minimum of seven (7) years of progressive experience within marketing technology, IT and/or data analytics required. 
  • Professional services experience preferred. 
  • Familiarity with using CRM and AI tools within data analytics is a plus.

In support of transparency and equity in the workplace, Foley provides salary ranges for all positions. The figures below represent the full compensation range of this position. The actual offered amount will be between the range minimum and midpoint based on the following factors: education, experience, geographic market, and internal pay equity at Foley.Milwaukee - $116,900 to $175,400Chicago - $128,600 to $192,900Washington D.C. - $140,300 to $210,500

Employment Type: FULL_TIME