Data Analytics Lead

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

As the Data Analytics Lead at Lokalise, you will spearhead our data analytics initiatives and foster a data-driven culture across the company. Your leadership will ensure that comprehensive, end-to-end analytics support our product and growth strategy, empowering decision-making and innovation at every level.

This full-time, remote role demands a visionary leader passionate about leveraging data to unlock insights, optimize performance, and drive growth.

You Will 

• Build and Mentor: lead a team of data analysts and scientists, fostering a culture of excellence, collaboration, and continuous learning.
• Lead and Expand Analytics Vision: develop and implement a comprehensive analytics strategy that aligns with our product and growth objectives, overseeing all aspects of company data analytics from collection to interpretation.
• Build and consolidate our data foundations ensuring the data analytics team's present and future, enhancing and consolidating future analysis.
• Develop and Maintain a Single Source of Truth: own the design, development, automation, and maintenance of ongoing metrics, reports, analyses, and dashboards on the key drivers of our business 
• Foster Data-Driven Culture: champion the use of data in strategic decision-making, ensuring data accessibility and literacy across all departments.
• Collaborate and Influence: work closely with finance, product, engineering, sales, marketing, and customer success teams to ensure that analytics insights inform product development, go-to-market strategies, and customer experiences.
• Work hand-to-hand with our Product team to define our Tracking plan, and make sure we observe and understand our users across the product funnel 360º.
• Drive Innovation: Identify opportunities for data to create competitive advantage and support new product features or business models.
• Ensure Data Integrity: Oversee the development and maintenance of robust data infrastructure, data governance policies, and privacy standards to ensure data accuracy and security.

You Must Have

• A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Extensive experience in data analytics, preferably in a product-led growth company, with a proven track record of leveraging data to drive decision-making and growth.
• Strong leadership skills with experience building and managing analytics teams.
• Proficiency in analytics and data tools and technologies (e.g., SQL, Python, Metabase, DBT, Kafka, etc.) and knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Excellent communication skills, with the ability to translate complex data insights into actionable strategies across different organizational levels.

It will be considered a significant advantage if you bring 

• Experience in a high-growth tech or SaaS environment

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.