Part-Time Data Analytics Engineer - BigQuery & Looker

ADWEEK; New York (NY); On-site; USD 69,000 - 117,000; Part time

Job summary

ADWEEK is seeking a highly analytical, technically hands-on data professional for a part-time role in New York to support our data warehouse, pipelines, and reporting environment. You will model data in BigQuery, develop pipelines, ensure data quality, and create dashboards with Looker, Tableau, or Power BI to deliver actionable insights.

Ideal candidates have 3–5 years in data analytics or analytics engineering, with experience in media or publishing being a plus, and strong communication of

Qualifications

• 3–5 years of experience as a Data Analyst, Analytics Engineer, or Data Visualization Analyst.
• Experience building dashboards, developing data models, and supporting data warehouse environments.
• Media, digital advertising, or publishing experience is a plus.

Responsibilities

• Data Modeling & Warehouse Management: Build and optimize SQL-based models in BigQuery for performance and cost.
• Data Pipelines & Integrations: Develop pipelines across core systems for reliable ingestion, transformation, and orchestration of data.
• Data Quality & Governance: Implement validation controls to maintain accuracy and reliability.
• Dashboard & Reporting Development: Design dashboards and reports using Looker and BI tools.
• Data Visualization & Storytelling: Translate analytics into clear insights for technical and non-technical stakeholders.
• Project Execution: Collaborate with Data & Analytics to deliver prioritized projects on a part-time schedule.

Skills

Data modeling

SQL

BigQuery

Python

Looker

Tableau

Power BI

dbt

Dashboard development

Data visualization

Tools

Google BigQuery

Looker

Tableau

Power BI

dbt

Job description

ADWEEK is seeking a highly analytical, technically hands-on data professional for a part-time role in New York to support our data warehouse, pipelines, and reporting environment. You will model data in BigQuery, develop pipelines, ensure data quality, and create dashboards with Looker, Tableau, or Power BI to deliver actionable insights.

Ideal candidates have 3–5 years in data analytics or analytics engineering, with experience in media or publishing being a plus, and strong communication of