Staff Data Analyst

Location

Even though our company operates exclusively on a remote basis, you are required to reside in Europe (continent) and have legal work eligibility within the country you will be based. 

About

We are looking for a talented and experienced Staff Data Analyst to join our Data team.  As a Staff Data Analyst at Lokalise, you will be crucial in driving our data analytics initiatives and supporting a data-driven culture across the company. Your expertise in data visualization, reporting, and machine learning will contribute to optimizing customer acquisition and empowering decision-making and innovation at every level. This full-time, remote role requires a skilled data analyst who is passionate about using data to unlock insights, optimize performance, and drive growth.

You Will 

• Support Analytics Vision: Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives.
• Build and Maintain Reports and Dashboards: Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business.
• Develop Machine Learning Models: Build and deploy machine learning models (e.g., regression, XGBoost, Decision Trees) to optimize customer acquisition flows and find new growth opportunities.
• Ensure Data Quality: Maintain data integrity and quality through the use of tools such as DBT.
• Support Marketing and Revenue Teams: Collaborate with marketing and revenue teams to reconcile revenue data and identify opportunities for optimization in customer acquisition flows.
• Foster Data-Driven Culture: Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.

You Must Have

• A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Proven experience in data analytics, preferably in a product-led growth company, with a strong track record of leveraging data to drive decision-making and growth.
• Proficiency in analytics and data tools and technologies (e.g., SQL, Python, DBT) and knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Expertise in data visualization and reporting.
• Experience working with marketing and revenue teams, reconciling revenue data, and finding optimizations in customer acquisition flows.
• Excellent communication skills, with the ability to translate complex data insights into actionable strategies.
• Experience in a high-growth tech or SaaS environment is highly desirable.
• Fluency in English, with outstanding written and verbal communication skills.

Our Benefits

• Competitive salary and employee stock options plan
• Fully remote and flexible working hours 
• Co-working budget
• Unlimited vacation policy
• Top-notch tech equipment for your work
• Learning & Development program
• Health insurance
• Wellness benefits
• Mental health support - every employee has access to a dedicated mental health platform
• Great startup atmosphere, team spirit, and team events