Senior Marketing Analytics Engineer

247Hire; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

247Hire is seeking a Senior Analytics Engineer to establish core data infrastructure for a new marketing project, transforming raw event data into structured datasets. The role involves creating automated workflows, building data pipelines, and developing analytics tools to enhance decision-making for marketing and content teams.

The ideal candidate has over 5 years of experience with analytics engineering and is proficient in tools like dbt, Airflow, Looker, and Tableau, along with strong SQL skills.

Qualifications

• Over 5 years of experience in analytics engineering, data engineering, or business intelligence roles.
• Proficiency with dbt, building modular transformations and managing dependencies.
• Experience with large datasets, SQL, and cloud data warehouses such as BigQuery, Snowflake, or Redshift.
• Skilled in designing and supporting automated analytics workflows using orchestration tools like Airflow.
• Ability to build dashboards in BI tools like Looker or Tableau and translate business needs into scalable data models.

Responsibilities

• Establish core data infrastructure for a new marketing project, transforming raw event data into structured datasets.
• Design and develop data entities to facilitate measurement, audience segmentation, and marketing activations.
• Create automated, AI-assisted workflows to track campaign health, generate insights, and build dashboards.
• Build reliable data pipelines using tools like dbt, Airflow, ensuring high quality and observability.
• Develop self-service analytics tools for marketing and content teams to explore artist data and enhance decision-making.

Skills

Analytics engineering

Data engineering

Business intelligence

SQL

dbt

Airflow

Looker

Tableau

Tools

BigQuery

Snowflake

Redshift

Job description

247Hire is seeking a Senior Analytics Engineer to establish core data infrastructure for a new marketing project, transforming raw event data into structured datasets. The role involves creating automated workflows, building data pipelines, and developing analytics tools to enhance decision-making for marketing and content teams.

The ideal candidate has over 5 years of experience with analytics engineering and is proficient in tools like dbt, Airflow, Looker, and Tableau, along with strong SQL skills.