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Manager Data Analytics Engineer information

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

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

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

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

The most popular types of Data Analytics Engineer jobs in Washington are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Washington?

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

What job categories do people searching Manager Data Analytics Engineer jobs in Washington look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Washington are:

What cities in Washington are hiring for Manager Data Analytics Engineer jobs?

Cities in Washington with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Manager, Data Analytics, Pricing & Yield Management

Xometry

North Bethesda, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 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

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