Staff Data Analyst
Remote role EMEA
Lokalise
Lokalise is a continuous localization and translation management platform. It integrates into your development workflow so you can ship localized products, faster.Who are we
Founded in 2017, Lokalise is a cloud-based translation management system that helps businesses streamline their localization processes. It provides a platform for managing translations of software, websites, mobile apps, and other digital content. Overall, Lokalise helps businesses improve their time-to-market, increase translation quality, and reduce costs associated with localization.
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
We are committed to a culture of inclusion and equal opportunities. Therefore, we welcome applications from people of all gender identities, sexual orientations, personal expressions, relationship, marital, or civil partnership statuses, racial identities, national or ethnic origins, religious beliefs, ages, and disability statuses.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Data quality Data visualization dbt Economics Machine Learning ML models Predictive modeling Python SQL Statistics XGBoost
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Startup environment Team events Unlimited paid time off Wellness
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