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Analytics Engineer Intern, Customer Analytics
Back MarketAnalytics Engineering Intern supporting the building of data models for marketing insights at a refurbished tech company. Working with multiple stakeholders to translate data needs into reliable models.
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Contribute to dbt models that transform raw tracking data from GA4 / Amplitude event exports into clean, analytics-ready tables
- Maintain and improve marketing data models covering paid channels such as paid search, paid social, and affiliates
- Support the reliability of marketing platform API data, including spend, clicks, and impressions from platforms such as Google Ads and Meta
- Write data quality tests and checks to detect regressions, schema changes, or inconsistencies in production models
- Help maintain data dictionaries, metric glossaries, and documentation connecting business KPIs to analytics models
- Work closely with Acquisition, Performance Marketing, Data, and Product stakeholders to translate measurement needs into reliable data model requirements
- Participate in Analytics Engineering team rituals, including planning, reviews, and async documentation
Requirements
What you’ll need- You are pursuing a Master’s degree, or equivalent, in data engineering, data science, or a quantitative field with a strong analytics component
- You have solid SQL skills and are comfortable writing and reviewing queries, models, and metrics
- You understand, or are eager to learn, how GA4 / Amplitude event data is structured
- You have a basic understanding of dbt concepts, or are motivated to learn about models, tests, documentation, and incremental runs
- You are interested in marketing analytics and customer acquisition topics
- You are detail-oriented, methodical, and patient when investigating model inconsistencies or data gaps
- You communicate clearly in written and spoken English
- You are autonomous and comfortable working with both technical and non-technical stakeholders
- Bonus points if:
- you are familiar with BigQuery or cloud data warehouses
- you have exposure to paid marketing platform APIs such as Google Ads or Meta Ads
- you have deeper knowledge of dbt Core
- you are familiar with GCP ecosystems
Benefits
Comp & perks- A mission driven work environment where your day to day makes an impact on the planet. Seriously.
- Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days.
- Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdbtdata modelingdata quality testingdata analysisanalyticsdata engineeringdata sciencemetrics developmentevent data structure
Soft Skills
detail-orientedmethodicalpatientclear communicationautonomouscollaborativestakeholder engagementproblem-solvingadaptabilityeagerness to learn