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We’re seeking a dynamic, highly motivated, organized data analyst to join our quickly growing team! The ideal candidate will play a key role in collecting, cleaning, and analyzing large sets of data, extracting key insights to inform decision making and drive continued growth of the business. This role will report into the AI team and will work closely with cross-functional teams including marketing and product to identify trends, develop recommendations, and improve our outcomes.
If you have a track record analyzing and finding trends across large sets of data, are passionate about your role, and enjoy working in a supportive and entrepreneurial environment we want to hear from you.

Competencies

Analytical understanding
Be familiar with AI, Angular and API’s - Is an advantage
Assessment/evaluationAttention to detail
Communication - written and oral skills
Consult with and receive feedback constructively from co-workers on projects
Creativity
Organization
Knowledge of relevant policies and procedures
Problem identification and resolution
Works independently as well as part of a team
Must be a fast learner

Responsibilities
Collect, clean, and process data from various sources
Provide analysis and data services to key stakeholders in the company
Perform deep analysis to uncover patterns, correlations, and trends, and share with key stakeholders
Develop and maintain dashboards, reports, and visualizations to communicate findings and insights effectively and efficiently
Recommend and implement new methods and techniques to collect and enrich our dataset
Conduct ad hoc analysis to support strategic initiatives, product development, and various campaigns
Stay abreast of industry trends, best practices, and emerging technologies in data analytics and SaaS

Requirements
1-3 years of relevant experience, ideally in SaaS or a tech environment.
Proficiency in Python; working knowledge in SQL is an advantage.
Experience with data visualization platforms, such as Tableau, PowerBI, or Google Data Studio, as well as data visualization libraries in Python.
Experience in preparing data for modeling is a plus.
Strong analytical skills with the ability to translate complex data into actionable insights.
Highly detail-oriented and organized.
Excellent communication, project management, and time management skills, with the ability to multitask in a fast-paced environment.