Responsibilities
Analyze and interpret data from multiple sources to identify trends, anomalies, and opportunities for improvement.
Apply statistical modeling, machine learning, and predictive analytics to generate deeper business insights.
Partner with business units across the organization to gather requirements and deliver actionable, data-driven solutions.
Build, test, and maintain analytical models using Python (pandas, NumPy, scikit-learn, etc.).
Design and maintain advanced analytics workflows for leveraging platforms such as Python, Amazon Redshift, QuickSuite and more.
Translate complex analyses into clear, actionable insights for both technical and non-technical stakeholders.
Collaborate with Product, BI, and Data Science teams to ensure alignment of analytics solutions with business goals.
Basic qualifications
3+ years of experience in analytics, data science, or other quantitative roles; prior experience with SaaS an advantage.
Proficiency in Python for data analysis, including libraries such as pandas, NumPy, scikit-learn, matplotlib, seaborn, and other relevant toolkits.
Proficiency in SQL.
Experience with statistical analysis and predictive modeling.
Familiarity with Jupyter Notebooks or similar environments for analysis and reporting.
Demonstrated curiosity and willingness to discover, learn, and leverage new AI tools and technologies to enhance efficiency, speed, and overall job performance.
Deep analytical and problem-solving skills, with a keen eye for detail.
Able to excel in a rapidly changing, hyper-growth, start-up environment, as an entrepreneurial, self-starter, and highly collaborative team member.
Strong written and verbal communication skills, with the ability to distill complex analytical concepts into actionable insights and communicate impact to non-technical audiences.
BA or BS in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics).
Fluent English speaker
Preferred qualifications
MSc or PhD in a quantitative field.
Experience with AWS.
Experience and knowledge in agentic workflows.
Experience with Amazon Redshift.
Experience with Scrum and Jira.
Experience with Jenkins.
Experience with DBT
Experience deploying data solutions and integrating analytics into business workflows.
**To apply please send your CV to [email protected]