We’re looking for a hands-on Data Analyst to establish and lead our analytics function. As our first hire in this domain, you’ll play a pivotal role in shaping how we leverage data to drive decisions, measure success, and communicate insights across the company.

Your Role:

• Define the analytics infrastructure, metrics, and processes needed to create a robust, data-driven organization.

• Analyze product data to identify trends, patterns, and actionable insights that drive product development and customer engagement.

• Collaborate with product managers and cross-functional teams to define, track, and optimize key metrics and KPIs.

• Build and maintain dashboards and reporting tools for performance monitoring.

• Conduct experiments to evaluate the impact of new features and user experience improvements.

• Present complex data insights to stakeholders, including executives, in clear, actionable formats.

• Work with SQL, Python, and other analytical tools to extract, clean, and manipulate large datasets.

• Collaborate with teams across engineering, marketing, and operations to foster data-driven decision-making.

• Enhance data quality by identifying and resolving inconsistencies, gaps, and inaccuracies.

• Identify opportunities to automate data collection, analysis, and reporting processes.

Your opportunity:

• Establish and own the analytics function within a growing, innovative company.

• Be a key player in centralizing metrics and data-driven insights across teams.

• Collaborate with a diverse team, including global partners, to shape data strategies and best practices.

• Opportunity for long-term growth, with the potential to lead a team and expand this function.

Our tech teams are the driving force behind our business, fostering a fast-paced, startup-like environment that encourages innovation. You’ll work with talented engineers, developers, and product leaders to shape the future of our cutting-edge solutions.

Interested? Let’s build a data-driven future together!

What you'll need:

• 5+ years of experience in data analysis or product analytics

• Strong proficiency in SQL (mandatory) and Python (advantageous).

• Hands-on experience building dashboards using tools like Tableau, Power BI, or Looker.

• Familiarity with systems like Snowflake and Amplitude (advantage).

• Excellent communication and interpersonal skills, with the ability to effectively collaborate across teams and present insights to technical and non-technical audiences.

• Bachelor’s degree in Industrial Engineering, Statistics, Economics, or a related field (preferred) or equivalent work experience.

• Work experience in a B2B or enterprise software company, with a strong understanding of the unique challenges and requirements of enterprise-level clients (strong advantage).

• Background in cybersecurity (advantageous but not required).