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Data Analytics Manager Jobs in Maryland (NOW HIRING)

Big Data & Analytics Architect

Bethesda, MD ยท On-site

$68.25 - $87.75/hr

... managing a full life-cycle of a Data (including Big Data) solution Extensive experience in data ... Analytics Analytics platforms and ETL in the context of Data & Analytics Ability to frame ...

Partner with Data Engineering, Finance Systems and central data teams to move prototypes into ... management * Demonstrated ability to structure ambiguous problems, perform deep analysis, and ...

Showing results 21-40

Data Analytics Manager information

See Maryland salary details

$30.1K

$94.3K

$166.9K

How much do data analytics manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics manager in Maryland is $94,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $121,800.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

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

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

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

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

Infographic showing various Data Analytics Manager job openings in Maryland as of August 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $94,283 per year, or $45.3 per hour.

Manager, Data Analytics, Pricing & Yield Management

Xometry

North Bethesda, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


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.
#LI-Hybrid
#Promoted
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.

Xometry logo

About Xometry

Sourced by ZipRecruiter

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.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013