Responsibilities

• Query BigQuery database environments using complex SQL, windows functions, CTEs, and different levels of aggregation to extract customer, order, and promotional performance data, moving from raw numbers to meaningful insights.
• Partner with growth and marketing stakeholders to evaluate campaign lift, customer cohort trends, and promotional A/B testing performance.
• Fully leverage Looker’s Gemini powered AI conversational analytics to draw insights from Looker explores and existing dashboards
• Manage and enhance the Growth Analytics AI data chatbot, ensuring alignment with AI governance frameworks and single-source-of-truth metric definitions.
• Translate complex data outputs into clear visual slides and executive summaries for quarterly cohort presentations and marketing strategy syncs.
• Formulate hypotheses and analyze ad-hoc growth questions (e.g., customer churn drivers, brand preferences, promo incrementality) to support key business choices.
• Validate data accuracy across marketing tracking channels and performance dashboards to ensure single-source-of-truth consistency.
• Synthesize findings into clear, structured takeaways and slide presentations that communicate strategic opportunities to non-technical stakeholders.
• First 30 Days: Complete team onboarding, gain fluency in Wonder’s data stack (BigQuery, Looker, DBT), and build a solid understanding of core growth metrics.
• First 60 Days: Take ownership of recurring marketing performance analyses and co-author strategic deep dives on customer engagement or promotional performance under mentor guidance.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Business Analytics, Statistics, Data Science, Economics, Business Administration, or a related quantitative field ( Must Have ).
• 0–1 years (Currently enrolled student; prior internship, research, or relevant project/coursework experience is a plus).
• Foundational SQL skills (SELECT statements, JOINs, GROUP BY, aggregations) and comfort working with relational databases.
• Business acumen and strong strategic curiosity with a desire to answer the "why" behind customer behaviors and business trends.
• Familiarity with data visualization tools (Looker, Tableau, Power BI) or advanced Google Sheets/Excel skills for data modeling and charts.
• Strong data storytelling skills with the ability to summarize technical data into concise, strategic bullet points and slides.
• Exposure to or strong interest in digital marketing, e-commerce, customer retention/cohort analysis, and promotional strategy.
• Collaborative attitude, detail orientation, and proactive communication skills in a fast-moving startup environment.

Benefits

• The benefits applicable to this role include a competitive compensation package with equity and a 401(k). We also offer a choice of medical, dental, and vision plans, company paid short and long term disability coverage, paid time off including flexible time off for exempt employees, paid vacation for non-exempt employees, and paid sick leave in compliance with applicable law in addition to paid parental leave, discounted meals and exclusive perks across the Wonder family of brands.