Were seeking a dynamic, highly motivated, organized data analyst to join our quickly growing team!
**Temporarily a remote position due to the war **
The ideal candidate will play a key role in analyzing large sets of data, extracting key insights to inform decision making and drive continued growth of the business. This role will report into marketing and will work closely with cross-functional teams including 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.
Responsibilities:
Collaborate with key stakeholders to define KPIs that align with business objectives
Partner with engineering and product team to define data gaps and build necessary events for robust, actionable reporting
Collect, clean, and process data from various sources, stitching together where necessary, to ensure accuracy and consistency
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
Support the eventual implementation of a CDP (customer data platform), ultimately becoming the day to day owner
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 marketing campaigns
Perform regular analysis of our platform usage, leveraging for trend reports, PR opportunities, and other storytelling opportunities
Regularly monitor data quality and integrity, implementing solutions to address any issues or discrepancies including recommendations to enrich data
Stay abreast of industry trends, best practices, and emerging technologies in data analytics and SaaS.
Requirements: 3-5 years of relevant experience, ideally in SaaS or a tech environment
Must be highly detail-oriented and organized
Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation
Strong analytical skills with the ability to translate complex data into actionable insights.
Experience working with data visualization platforms including Tableau, PowerBI, or Google Data Studio
Strong communication, project, and time management skills with the ability to multitask in a fast-paced environment
Deep knowledge of statistical methods, hypothesis testing, and experimental design.
Proactive in offering recommendations, going above and beyond, and thinking three steps ahead.
This position is open to all candidates.