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Project Manager Dbt Analytics Jobs in Pennsylvania

Mastech Digital

DBT Analytics Engineer

Pittsburgh, PA · Remote

Extensive dbt experience (testing, documentation, package management). Strong Python programming ... Experience with Git and CI/CD for analytics code. Strong business acumen and ability to translate ...

eTeam

Snowflake Engineer

Washington Crossing, PA · On-site

$113.90K - $136.80K/yr

Establish and manage dbt framework (Core/Cloud), including project structure, environments, CI/CD ... Support self-service analytics enablement for business teams via governed datasets. Provide ...

True Helix

Project Manager

Delmont, PA

True Helix More about this job > Description The Project Manager works with clients and team members to manage the research, analysis, design, and development of company innovative technology ...

True Helix

Project Manager

Delmont, PA · On-site

The Project Manager works with clients and team members to manage the research, analysis, design, and development of company innovative technology projects. The Project Manager maintains close ...

Aequor

Project Manager

Aliquippa, PA · Remote

Remote Seeking an experienced Senior Project Manager to support global Quality Control technology ... analysis, design, testing, implementation planning, change management, training readiness ...

Ohm Systems

Project Manager

Philadelphia, PA · On-site

Summary: The Project Manager for Special Projects will support the CIO and Mayor by managing and ... Conduct cost/benefit analyses and maintain project budgets. * Align initiatives with architectural ...

Spruce Infotech

Project Manager

Harrisburg, PA · On-site

Analyze and distribute reports on project metrics associated with work items related to improvement measures. * Ensure all changes to scope follow processes outlined in the Change Management Plan and ...

Stefanini

Project Manager

Pittsburgh, PA · On-site

Analytical thinker with creative problem solving skills and attention to detail Major Job Duties ... Manage project scope by assessing requirements changes, determining and conveying impact on budget ...

Techstra Solutions

Project Manager

Pittsburgh, PA · On-site +1

Directs the daily activities of Business Analysts, Data Analysts, and Technical Analysts to ensure all project streams remain on schedule and within scope. * Resource Allocation: Manages team ...

Allere

Project Manager

Philadelphia, PA · Hybrid

Analysis : Ability to perform analysis, interpret and make recommendations and/or decisions. * Execution : Drive the completion of tasks by managing project team resources. Includes resolving issues ...

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Project Manager Dbt Analytics information

What are the key skills and qualifications needed to thrive as a Project Manager in dbt Analytics, and why are they important?

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.

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 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 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.

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What cities in Pennsylvania are hiring for Project Manager Dbt Analytics jobs? Cities in Pennsylvania with the most Project Manager Dbt Analytics job openings:
Project Manager Dbt Analytics jobs near you
DBT Analytics Engineer

DBT Analytics Engineer

Mastech Digital

Pittsburgh, PA • Remote

Full-time

Posted 27 days ago

Job description

Remote Role - USA (C2C will work)

We're hiring for an Analytics Engineer role focused on modernizing pipelines and delivering business‐ready datasets. The position involves rebuilding 300+ pipelines into a Databricks + DBT architecture, implementing Bronze–Silver–Gold layers, and enabling governed, self‐service analytics for stakeholders.

This is a high‐impact role where you'll work directly with business teams, own end‐to‐end data models, and help shape a future‐ready analytics platform. If you have strong AWS, DBT, SQL, and Databricks experience, this could be a great fit.

Title: DBT Analytics Engineer

Duration: 6 Months +

Location: Remote/USA

Job Description:

Job Description:

What You'll Do

Design and implement robust dimensional and relational data models.

Build and maintain scalable dbt transformation pipelines.

Own transformation and modeling of curated (Silver/Gold) datasets.

Collaborate with analysts, product analytics, data scientists, and stakeholders.

Implement data quality tests, monitoring, SLAs, and alerting.

Partner with Data Engineers to define and enforce data contracts.

Follow analytics engineering best practices (version control, testing, documentation).

Empower self-service analytics with intuitive, well-documented data marts.

What We're Looking For

5+ years in analytics engineering, data modeling, or similar roles.

Expert-level SQL skills (optimization & performance tuning).

Extensive dbt experience (testing, documentation, package management).

Strong Python programming skills.

Deep understanding of dimensional modeling (star schemas, one big table).

Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks).

Familiarity with Airflow and orchestration frameworks.

Experience with Git and CI/CD for analytics code.

Strong business acumen and ability to translate requirements into data models.

Knowledge of data governance, privacy, compliance (GDPR, CCPA, SOX).

Familiarity with BI tools (Tableau, Looker, Mode).

Strong ownership mindset and communication skills.

Dedication to data quality, documentation, and enabling self-service analytics.

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