Data Analyst III

Summary

Join Colibri, a leader in online professional education, as a Data Analyst! This role requires at least 7 years of analytical experience, expertise in advanced data analysis and statistical modeling, and proficiency in programming languages like Python or R. You will interpret business needs, conduct advanced analyses, develop compelling data visualizations, and present findings to senior leadership. Strong project management skills and a Bachelor's degree in a related field are essential. Familiarity with machine learning and experience with subscription models are preferred.

Requirements

• Minimum of 7 years as an Analyst, or related experience
• Expertise in advanced data analysis techniques and statistical modeling
• Proficiency in programming languages (e.g., Python, R) and advanced analytical tools
• Strong project management skills and experience in leading projects
• Bachelor’s degree in Math, Statistics, Computer Science, Business, Economics, or related field
• Inherent curiosity and enthusiasm
• Experience in Power BI and/or other visualization tools
• Advanced SQL (Structured Query Language)
• Strong analytic and critical thinking skills
• Proficient in using Microsoft Excel (intermediate to advanced level)
• Strong verbal and written communication skills, experience, and confidence in engaging with senior leadership

Responsibilities

• Interpret business stakeholder needs through deep understanding of the business challenges or opportunities and translating that to the logical and technical approach to supporting that those needs with data
• Conduct advanced ad hoc analyses that unlock data insights across sales, marketing, product and other data sets
• Explore both transformed and raw data sets to understand the data, confirm its completeness/accuracy and expose it into meaningful KPIs and attributes
• Develop compelling data storytelling through visualizations and reports, ensuring insights are clear, actionable, and impactful for business leaders
• Present findings to non-technical stakeholders in a way that drives decision-making and aligns with strategic business goals
• Prototype persistent data models to be demonstrated in proofs of concepts to the business stakeholder prior to handing off to data engineering team for integration to the data warehouse
• Provide guidance for advanced analytics (predictive, machine learning, AI use cases), conducted in engineering
• Collaborate to build and maintain a data governance framework that ensures consistency of KPI measurement and standardized definitions for attributes and measures

Preferred Qualifications

• Proficient in statistical and mathematical data analysis techniques such as regression analysis
• Familiarity with machine learning techniques
• Experience with Google Analytics and/or other web analytics platforms
• Experience working with a Membership/Subscription model