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Project Manager Dbt Analytics Jobs in Washington

Project Manager Analyst

Arlington, VA · On-site

$85K - $95K/yr

As a Project Manager Analyst , you will work closely with our senior consultants and technical teams to ensure projects are delivered on time, within scope, and within budget. You will play a key ...

Project Manager Analyst

Arlington, VA · On-site

$85K - $95K/yr

As a Project Manager Analyst , you will work closely with our senior consultants and technical teams to ensure projects are delivered on time, within scope, and within budget. You will play a key ...

The Project Manager will drive technology and analytics delivery by: (1) managing and leading technical team members, (2) managing all facets of project execution and high-quality delivery in scope ...

The Project Manager will drive technology and analytics delivery by: (1) managing and leading technical team members, (2) managing all facets of project execution and high-quality delivery - in scope ...

To do this job well, you must be analytical, understand people, have business acumen, willing to ... The Project Manager will drive project performance through effective stakeholder communication ...

ARLINGTON, VA DURATION : 6 MONTHS Senior-level Project Manager to perform system and business process analysis, documentation and planning for an upgrade of the County's Assessment and Revenue System ...

Translate complex analyses into clear, actionable recommendations * Confidently present to large and senior audiences Project & Team Management * Lead and manage a team of SMEs across financial, real ...

Analyze new and complex project-related problems, creating innovative solutions that involve schedule, technology, methodology, tools, solution components, and financial management of the project.

Analyze policies, regulations, and business processes to identify opportunities for improvement ... Manage project resources to ensure successful execution of all assigned work. * Ensure quality ...

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Project Manager Dbt Analytics information

What does a project manager in dbt Analytics do?

A Project Manager in DBT (Data Build Tool) Analytics is responsible for overseeing analytics projects that use dbt to transform and manage data. They coordinate between data engineers, analysts, and stakeholders to ensure that data models are developed, tested, and deployed efficiently. Their role includes project planning, timeline management, resource allocation, and ensuring data quality standards are met. They also help bridge communication between technical teams and business users to align analytics solutions with organizational goals.

What are the key skills and qualifications needed to thrive as a project manager in dbt Analytics?

To thrive as a Project Manager in dbt Analytics, you need expertise in data analytics, project management methodologies, and a strong understanding of dbt (data build tool), often supported by a relevant degree and certifications like PMP or dbt certification. Familiarity with tools such as dbt Cloud, SQL, Git, and project tracking systems like Jira or Asana is essential. Outstanding communication, problem-solving, and leadership skills help you manage cross-functional teams and translate business requirements into actionable analytics solutions. These skills ensure projects are delivered efficiently, data models are reliable, and analytics initiatives drive measurable business impact.

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

AspectProject Manager Dbt AnalyticsData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; experience with project management and analytics toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees analytics projects, collaborates with teams, manages timelinesAnalyzes data sets, creates reports, supports decision-making
Industry UsageCommon in tech, finance, healthcare sectorsWidely used across industries for data insights

The Project Manager Dbt Analytics focuses on managing analytics projects, coordinating teams, and ensuring timely delivery. In contrast, Data Analysts primarily analyze data, generate reports, and support strategic decisions. While both roles require analytical skills, project managers emphasize leadership and project oversight, whereas data analysts focus on data interpretation and reporting.

How does a project manager in dbt Analytics typically collaborate with data engineers, analysts, and stakeholders during a project lifecycle?

A Project Manager in DBT (Data Build Tool) Analytics acts as a bridge between technical teams and business stakeholders. They work closely with data engineers to define data modeling requirements, coordinate timelines, and ensure DBT pipelines are developed according to best practices. Collaboration with analysts is essential to clarify reporting needs and validate data accuracy, while regular updates and presentations keep stakeholders informed. This role demands strong communication skills and the ability to translate complex technical progress into actionable business insights.
What are popular job titles related to Project Manager Dbt Analytics jobs in Washington? For Project Manager Dbt Analytics jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Project Manager Dbt Analytics jobs? Cities in Washington with the most Project Manager Dbt Analytics job openings:

$54.50 - $70.75/hr

Full-time

Re-posted 4 days ago


Job description

Job Summary:
Global Technical Talent, an Inc. 5000 Company, is seeking an experienced Business Intelligence professional to join GEICO's Marketing Analytics organization as a Senior Analytics Engineer. This role involves building complex dashboards, developing automated reporting solutions, and ensuring accurate reporting outputs while partnering with stakeholders for reliable data insights.
Responsibilities:
• Design and build complex dashboards with interactive features and strong visualization best practices (chart selection, usability, and stakeholder clarity).
• Develop and maintain complex SQL queries and Python-based automation to support reliable data extraction, transformation, QA checks, and scheduled reporting delivery; maintain shared codebases in version control (e.g., Git, Azure DevOps), following team standards for commits, reviews, and documentation.
• Implement automated reporting pipelines and repeatable delivery patterns that reduce manual effort and improve reliability.
• Independently source and integrate datasets; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
• Clarify vague requirements by asking the right questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
• Partner with Marketing and enterprise stakeholders to support MarTech data acquisition strategies (e.g., tagging/collection requirements, platform integrations) and improve availability and usability of marketing platform datasets for reporting and analytics.
• Perform strong self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
• Present BI outputs and insights to stakeholders with clear narrative framing, explaining assumptions, limitations, and tradeoffs.
• Mentor entry-level BI engineers on tools, best practices, documentation, and stakeholder communication.
• Manage projects concurrently, accurately scoping timelines and proactively flagging risks.
• Growth mindset: receptive to feedback, proactive about learning, and continuously improves BI craftsmanship (accuracy, usability, documentation) through iteration.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or related field.
• 5+ years of experience in BI / analytics engineering or a closely related domain (may be adjusted, in whole or in part, at the Company's discretion, where a candidate demonstrates exceptional aptitude in other core skill areas).
• Expert SQL; advanced experience with BI tools (Tableau/Power BI/Looker).
• Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
• Strong communication skills with experience translating stakeholder needs into technical specifications.
Preferred:
• Master's degree in Data Analytics, Business Intelligence, Computer Science, or related field.
• 7+ years of experience in BI / analytics engineering or a closely related domain.
• Experience with semantic layer concepts (e.g., LookML / MetricFlow) and workflow orchestration basics.
• Relevant certifications (examples): Tableau Desktop Certified Professional; Microsoft Certified: Power BI Data Analyst Associate; dbt Analytics Engineering Certification; Snowflake SnowPro Advanced.
• Experience using AI tools to improve workflow productivity (e.g., accelerating research, summarization, analysis, documentation, and automation).
• Experience with marketing analytics and MarTech data sources, including tagging and web analytics (e.g., Google Analytics) and marketing platform data (e.g., ad buying platforms such as Campaign Manager 360 (CM360) / Search Ads 360 (SA360) and CRM tools such as Salesforce).
• Experience in Property & Casualty (P&C) insurance is preferred.
Company:
Global Technical Talent (GTT) is a leading provider of Total Talent Solutions and a proud subsidiary of Chenega Corporation(www.chenega.com), a Native American corporation with over $1.5 billion in revenue and 7,200 U.S. Founded in 1999, the company is headquartered in Portsmouth, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Global Technical Talent logo

About Global Technical Talent

Sourced by ZipRecruiter

Global Technical Talent, based in Portsmouth, NH, US, is a leading provider of IT staffing solutions. Their services, as detailed on their official website gttit.com, operate in the niche domain of Information Technology, with a broad range of services from contract and permanent staffing to managed services. The company was established with a vision to bridge the talent gap in the technology sector, a mission they continue to pursue with sustained fervor.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Portsmouth, NH, US

Year founded

1999

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