Data Scientist, Pontera

• Experience: 5+ years of experience in a data analytics role in the tech industry, with a proven track record of driving business impact
• Technical Skills: Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI, Looker)
• Analytical Expertise: Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights
• Business Acumen: Experience working in FinTech, SaaS, or a high-growth startup environment is a plus
• Communication: Excellent written and verbal communication skills, with the ability to effectively present findings to both technical and non-technical audiences
• Collaboration: Strong interpersonal skills and the ability to work collaboratively across teams and levels of seniority

Desirable

• We are seeking a highly skilled Data Scientist to join our growing team.
• As a Data Scientist, you will play a pivotal role in driving data-driven decision-making across the organization.
• You will work closely with cross-functional teams to uncover insights, optimize business processes, and support strategic initiatives.
• This role offers the opportunity to make a significant impact in a fast-paced, high-growth environment while working on meaningful challenges that directly impact our mission
• Collaborate with stakeholders across teams (e.g., Product, Sales, Marketing) to identify analytical needs and deliver actionable insights
• Perform deep-dive analyses on complex datasets to uncover trends, identify opportunities, and solve business problems
• Develop, implement, and maintain dashboards and reports to track key performance indicators (KPIs) and measure business outcomes
• Support decision-making by providing clear, concise, and impactful data presentations to leadership and other stakeholders
• Partner with Data Engineering to ensure the accuracy, reliability, and scalability of data pipelines and reporting tools
• Proactively identify areas for improvement in processes, tools, and data quality, and recommend solutions