Analytics Engineer

Insight Global; Newark (DE); On-site; USD 90,000 - 130,000; Full time

Job summary

Insight Global is seeking a data engineer to design, build, and maintain SQL-based datasets, views, and data models that support marketing use cases. The role involves profiling data, enabling audience creation, and delivering analytics-ready data for campaigns.

You will collaborate with Marketing Operations and Analytics to translate business questions into scalable data solutions, present findings, and contribute to production deployments with strong data quality controls.

Qualifications

• Bachelor's degree required.
• 3–5 years of experience in data engineering or similar roles.
• Ability to write queries in SQL from scratch.
• Proficiency in Python.
• Understanding of how marketing, data teams, and infrastructure use data.
• Experience utilizing AI.
• Experience working with marketing teams.
• Experience with CDP/CDI or identity resolution vendors.
• Familiarity with identity stitching and customer-level data unification.
• Knowledge of Snowflake and AWS.

Responsibilities

• Design, build, and maintain SQL datasets, views, and data models for marketing use cases.
• Source and profile data in the data warehouse to make campaigns ready.
• Engineer end-to-end data solutions from ingestion to consumption.
• Support identity-based and customer-level data use cases and segmentation.
• Build dashboards and visualizations; monitor data quality and governance.
• Coordinate with deployment teams to move solutions into production.

Skills

SQL

Python

Marketing data concepts

AI experience

Identity resolution

Education

Bachelor's degree

Tools

Snowflake

AWS

CDP/CDI

Job description

Job Description

Data Engineering & Solution Development

Design, build, and maintain SQL-based datasets, views, and data models that support marketing use cases. Source, profile, and research data already living in the data warehouse to make it campaign-ready. Engineer new data solutions end-to-end, from ingestion through business consumption. Support identity-based and customer-level data use cases (e.g., prequalification strategies, audience growth, net-new identification).

Business Partnership & Strategy

Partner directly with Marketing Operations to enable audience creation, campaign execution, and customer experiences. Collaborate with Marketing Analytics to explain data structures, create new analytical layers, and support executive-level reporting. Translate business questions into technical requirements and scalable data solutions. Present findings, trends, and insights back to marketing stakeholders in a clear and compelling way.

Analytics, Dashboards & Controls

Build dashboards and visualizations that show trends, population shifts, and segment performance. Develop internal monitoring and control dashboards to detect data issues (e.g., population changes, load failures, anomalies). Support testing, validation, and quality checks prior to deployment.

Operational Support

Coordinate with internal testing and deployment teams to move solutions into production. Contribute to documentation, governance, and ongoing improvements of marketing data assets.

Day-to-Day Breakdown

~60%: Data discovery, profiling, research, and business alignment. ~20%: Dashboarding and data visualization. ~10%: Testing, audits, and data quality controls. ~10%: Administrative work and coordination.

Skills and Requirements

• Bachelors degree
• 3-5 years of experience
• Ability to write queries in scratch in SQL
• Python
• Understanding of how different business functions, such as marketing, infrastructure, credit, product, and data teams, use data in their day-to-day work. This person should understand the core concepts within each business domain, the data those teams rely on, why that data exists, and how it can be used to support different business needs. For example, in marketing, this could include campaigns, customer segmentation, testing, and measurement.
• Experience utilizing AI
• Experience working with marketing teams
• Experience working with Customer Data Platforms (CDI/CDP) or identity resolution vendors
• Familiarity with identity stitching and customer-level data unification
• Snowflake database
• AWS

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].