Growth Analytics Intern: Data-Driven Marketing & Impact

Wonder Group, INC; United States; Hybrid; USD 30,000 - 50,000; Full time

Benefits offered by this job

Equity

401(k)

Medical/Dental/Vision

Disability coverage

Paid time off

Paid vacation

Sick leave

Parental leave

Meal discounts

Exclusive perks

Job summary

Wonder, the mealtime platform, seeks a Growth Analytics Intern to turn data into strategic recommendations. You will use SQL, DBT, BigQuery, and Looker to analyze customer behavior and campaign performance, guiding Growth leadership in a fast-paced food-tech setting.

Qualifications include pursuing a Bachelor’s or Master’s in a quantitative field, 0–1 years of experience, foundational SQL, and familiarity with Looker/Tableau/Power BI.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Business Analytics, Statistics, Data Science, Economics, Business Administration, or related quantitative field.
• 0–1 years (Currently enrolled student; prior internship or project experience is a plus).
• Foundational SQL skills (SELECT, JOINs, GROUP BY) and comfort with relational databases.
• Familiarity with data visualization tools (Looker/Tableau/Power BI) or advanced spreadsheet skills for data modeling and charts.

Responsibilities

• Formulate hypotheses and analyze growth questions to support business decisions.
• Validate data accuracy across marketing channels and dashboards for single‑source‑of‑truth consistency.
• Synthesize findings into clear takeaways and slides for stakeholders.

Skills

Foundational SQL

Data storytelling

Business acumen

Collaboration

Education

Bachelor’s or Master’s degree in quantitative field

Tools

BigQuery

Looker

DBT

Job description

Wonder, the mealtime platform, seeks a Growth Analytics Intern to turn data into strategic recommendations. You will use SQL, DBT, BigQuery, and Looker to analyze customer behavior and campaign performance, guiding Growth leadership in a fast-paced food-tech setting.

Qualifications include pursuing a Bachelor’s or Master’s in a quantitative field, 0–1 years of experience, foundational SQL, and familiarity with Looker/Tableau/Power BI.