Entry-Level Data Analyst – Growth Analytics

Job Description

Data Analyst, Growth Analytics — Entry Level | Jobright.ai

The Tone:
This is a full-time role at Jobright.ai, located in Remote. Jobright is a personal AI job search agent that revolutionizes the job search process, transforming it from solitary and time-consuming efforts into an expert-guided journey. This role is crucial for simplifying every step of the job search and accelerating users’ paths to optimal job outcomes. The Entry-Level Data Analyst will play a vital part in measuring and enhancing user acquisition, activation, engagement, and retention. You will collaborate with growth, product, and marketing teams to identify scalable opportunities and rigorously evaluate growth initiatives that shape how people experience AI-driven job search.

The TL;DR
• Role: Early Career
• Location: Remote, United States
• Team: Collaborates with growth, product, and marketing teams.
• Mission: To measure and improve user acquisition, activation, engagement, and retention to identify scalable opportunities and evaluate growth initiatives for Jobright.ai.
• Tech Stack: SQL, Spreadsheets, Python, Tableau, Looker

What You’ll Actually Do
• Analyze performance: Deconstruct acquisition, activation, engagement, and retention funnels to understand user behavior.
• Develop tools: Construct comprehensive dashboards to monitor and visualize growth and marketing performance.
• Evaluate initiatives: Measure the effectiveness of campaigns, channels, experiments, and product initiatives.
• Identify opportunities: Pinpoint funnel drop-offs and uncover scalable growth opportunities within the product.
• Communicate insights: Translate complex analytical findings into clear, actionable recommendations for various teams.

The Must-Haves
• Background: Entry-level professional with a Bachelor’s degree in Data Science, Statistics, Economics, Business, or a related field.
• Experience: Understanding of funnels, cohorts, and experimentation principles.
• Skills: Strong proficiency in SQL and spreadsheet applications, robust analytical and problem-solving abilities, and the capacity to communicate findings clearly in a remote environment.
• Bonus: Experience with Python, Tableau, Looker, or similar tools; familiarity with product analytics and marketing attribution; experience with A/B testing or lifecycle analytics; and an interest in consumer growth and marketplace products.