Data Governance & Analytics professional

Eliassen Group; New York (NY); On-site; USD 96,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group seeks a highly technical Data Governance & Analytics professional to lead data governance standards and oversee marketing analytics data quality. This role will partner across analytics, engineering, legal, privacy, and product teams to ensure scalable, compliant, and business-ready reporting and data pipelines. Rate: $70.00 to $75.00/hr.

w2. Responsibilities include leading governance standards, owning the data quality framework, and mentoring junior analysts while improving

Qualifications

• 7+ years in data governance, data quality/QA, data engineering, or marketing analytics.
• Advanced SQL and strong Python experience.
• Deep understanding of data governance, data lineage, access controls, and marketing data compliance.
• Experience overseeing multiple enterprise data pipelines.

Responsibilities

• Define and lead data governance standards, policies, and best practices across marketing analytics environments.
• Own and enhance the data quality framework, including QA, monitoring, validation, and escalation procedures.
• Ensure accuracy, consistency, and completeness across marketing data sources, reporting platforms, and dashboards.
• Oversee automated workflows supporting data collection, transformation, reporting, and analytics.
• Partner with engineering to establish scalable, governed data pipelines.
• Serve as the primary contact for data lineage, access controls, governance standards, and compliance questions.
• Conduct root cause analysis on recurring data issues and drive long-term corrections.
• Maintain governance documentation, data dictionaries, validation frameworks, and reporting standards.
• Stay current on emerging data governance, privacy, and data engineering best practices.
• Collaborate with cross-functional teams to resolve discrepancies and systemic reporting issues.
• Mentor junior analysts on QA and governance best practices; translate technical concepts for business users.
• Perform ad hoc analyses to support strategic initiatives and improve marketing performance.

Skills

Advanced SQL

Python

Data governance

Data quality

Marketing analytics

ETL/ELT

Data pipelines

Communication

Tools

Tableau

Looker

AWS QuickSight

Airflow

dbt

Job description

Our client seeks a highly technical Data Governance & Analytics professional to lead data governance standards, oversee marketing analytics data quality, and partner across analytics, engineering, legal, privacy, and product teams. This role will help establish scalable processes that ensure marketing reporting and data pipelines remain accurate, compliant, trustworthy, and business-ready.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $75.00/hr. w2

Responsibilities

• Define and lead data governance standards, policies, and best practices across marketing analytics environments.
• Own and enhance the data quality framework, including QA processes, monitoring, validation, and escalation procedures.
• Ensure accuracy, consistency, and completeness across marketing data sources, reporting platforms, and dashboards.
• Oversee automated workflows supporting data collection, transformation, reporting, and analytics.
• Partner with engineering teams to establish scalable, governed data pipelines.
• Serve as the primary point of contact for data lineage, access controls, governance standards, and compliance-related questions.
• Conduct root cause analysis on recurring data issues and drive long-term corrective solutions.
• Maintain governance documentation, data dictionaries, validation frameworks, and reporting standards.
• Stay current on emerging data governance, privacy, and data engineering best practices.
• Collaborate with data engineering, product, marketing analytics, legal, privacy, and finance to resolve discrepancies and systemic reporting issues.
• Mentor junior analysts on QA and governance best practices and translate technical concepts into business-friendly language.
• Perform ad hoc analyses to support strategic initiatives and deliver insights that improve marketing performance and reporting effectiveness.

Experience Requirements

• 7+ years in data governance, data quality/QA, data engineering, or marketing analytics.
• Advanced SQL and strong Python experience.
• Deep understanding of data governance frameworks, data lineage, access controls, and marketing data compliance.
• Experience overseeing multiple enterprise data pipelines.
• Strong knowledge of ETL/ELT processes, data ingestion workflows, validation methodologies, deployment processes, and backend data systems.
• Experience with reporting and analytics tools such as Tableau, Looker, or AWS QuickSight.
• Experience with orchestration and pipeline tools such as Airflow or dbt.
• Ability to work independently and manage competing priorities with strong communication and presentation skills.
• Proven cross-functional partnership across technical and business teams and the ability to explain technical concepts to non-technical stakeholders.
• Detail-oriented with strong analytical thinking, sound judgment, proactive risk identification, and issue resolution.
• Preferred: prior streaming media experience, support for digital marketing organizations, experience establishing or scaling a data governance program, leadership or people management, large-scale analytics or governance initiatives, familiarity with GDPR and CCPA, and executive-facing communication abilities.