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Analytics Manager Jobs in Washington, DC (NOW HIRING)

Proven experience in process documentation, data analysis, and project management methodologies both traditional and Agile/Scrum. * Experience with audit management systems or familiarity with ...

Senior Manager Analytics

Washington, DC · On-site

$90K - $110K/yr

The Role The Senior Analytics Manager leads the measurement, reporting, and data infrastructure that tell AL-MONITOR how it is performing. You consolidate data from across our platforms into a single ...

Customer Analytics Manager Job Location: Anywhere in USA, Washington DC, United States Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the Communications ...

Customer Analytics Manager Job Location: Anywhere in USA, Arlington, VA, USA Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the Communications, Media ...

As a Business Analysis Manager at Capital One, you will apply your strategic and analytical skills to major company challenges. You'll team with world-class professionals to develop and test ...

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Showing results 41-60

Analytics Manager information

See Washington, DC salary details

$73.1K

$141.9K

$202.7K

How much do analytics manager jobs pay per year?

As of Sep 3, 2026, the average yearly pay for analytics manager in Washington, DC is $141,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $168,800.00 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.

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 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.

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.

What are the most commonly searched types of Analytics jobs in Washington, DC?

The most popular types of Analytics jobs in Washington, DC are:

What are popular job titles related to Analytics Manager jobs in Washington, DC?

For Analytics Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Analytics Manager jobs in Washington, DC look for?

The top searched job categories for Analytics Manager jobs in Washington, DC are:

Infographic showing various Analytics Manager job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $141,944 per year, or $68.2 per hour.

Manager, Data Analytics, Pricing & Yield Management

Socket.dev

North Bethesda, MD • On-site

$135 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Key responsibilities

  • Build yield scoring, ad performance dashboards, and pricing infrastructure to optimize supplier yield and monetization.

  • Own the analytical framework behind supplier advertising pricing, incentive programs, and quantify revenue impacts of discount and rebate programs.

  • Develop predictive models for retention, churn, and win-back, and apply AI and machine learning to enhance pricing and retention strategies.


Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

For over 125 years, Thomas has been the definitive resource for industrial buyers and suppliers across North America. Today, thomasnet.com is the leading digital platform for industrial product discovery and supplier selection connecting more than 1.4 million active buyers including engineers, procurement managers, and MRO professionals with over 500,000 North American manufacturers and distributors across 70,000 product categories. No other platform in the industrial space operates at this depth or scale. Thomas Analytics is the data and intelligence function at the heart of that network — owning the analytical infrastructure that connects buyer demand to supplier performance and drives Thomas's growth strategy.

Thomas is seeking a Manager or Staff-level Data Analyst, Pricing and Yield Management to manage its supplier-side yield, monetization and pricing analytics practice. This role reports to the Director of Data Engineering and Analytics, based in Bethesda, MD. The person in this role will systematically unlock the revenue that already lives inside the Thomas network, through yield scoring, pricing optimization, keyword monetization, and supplier retention analytics. This is a builder role and a senior partnership role at the same time. You will work directly with our General Manager, Product, Operations and Engineering Directors who run the business on data, serving as the analytical voice in the room, generating insights quickly, and connecting the dots across buyer demand, supplier performance, and revenue trends to drive faster decisions. You are equally comfortable shaping strategy and getting hands‑on to build the model or dashboard that makes it real.

How You’ll Contribute:
  • Supplier Yield and Ad Monetization Build yield scoring, ad performance dashboards, and pricing infrastructure. Surface pricing and inventory gaps before they appear in aggregate reporting.
  • Pricing Strategy and Monetization Analysis: Own the analytical framework behind supplier advertising pricing and incentive programs. Quantify the revenue impact of discount and rebate programs
  • Category and Keyword Performance: Build the category-level data model across Thomas's industrial verticals and identify under‑monetized keyword inventory. Translate findings into expansion and pricing recommendations
  • Retention, Churn, and Win-Back Analytics: Build predictive churn models using propensity and velocity scoring. Develop cohort analyses to surface early retention signals and provide prioritized recommendations to sales, customer success, and product
  • AI-Powered Analytics and Experimentation: Apply AI and machine learning to build smarter pricing and retention models. Design and execute A/B tests across pricing and supplier engagement interventions
What You'll Bring to Xometry:
  • Bachelor's degree in a quantitative field (Economics, Statistics, Data Science, Applied Mathematics, Computer Science, Engineering) with 7+ years of experience, OR Master's degree with 5+ years
  • 6 or more years in pricing analytics, yield management, or growth analytics at a marketplace, ad platform, or performance-based business. Direct experience with lead-gen, pay-per-lead, or auction-based pricing models is strongly preferred
  • Background in ad tech, programmatic advertising, marketplace monetization, or two-sided platform economics
  • Hands‑on machine learning experience in a production environment, including classification, regression, and time series forecasting. You have built models that shipped, not just prototypes
  • Demonstrated experience building churn propensity models, velocity scoring, and cohort retention analysis. You know how to find risk early and translate it into action
  • Strong SQL and fluency with Snowflake, dbt, and Looker. You build the data models and dashboards yourself and do not wait for someone else to pull the data
  • Hands‑on A/B testing experience including test design, sample sizing, and interpreting results in a live marketplace or ad auction environment
  • Comfortable using AI tools to accelerate analysis, augment modeling workflows, and generate insights at scale
  • Exceptional communication and data storytelling skills — able to translate complex pricing and marketplace dynamics into clear narratives for general managers and non-technical stakeholders
  • Proven stakeholder partner across Sale, finance, and product. You earn trust through rigor and consistency, not just output
  • Documented, specific revenue impact from analytical work you personally owned and delivered
  • A structured problem‑solver comfortable diagnosing ambiguous marketplace and liquidity challenges and building the analytical framework to address them
Preferred
  • B2B marketplace or supplier‑side monetization experience
  • Churn and renewal modeling for subscription‑based marketplace or SaaS products
  • Experience with ad server platforms and CRM systems in a monetization context

The estimated base salary range for new hires into this role is $135,000-160,000 annually + bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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