Who are we
At Lokalise, we make it easy and profitable for businesses to expand into new markets. Founded in 2017, our AI-powered translation and localization platform automates workflows, integrates with over 60 tools, and helps product teams launch multilingual products 10x faster and at 80% lower cost. Trusted by thousands of businesses across over 100 countries, Lokalise is empowering more than 25 million people worldwide to use diverse services in their native languages. Backed by a customer-loved support team, our platform seamlessly fits into your design and development processes, helping you scale effortlessly.
Location
While our company operates exclusively on a remote basis, you must reside and have the legal right to work in one of the following countries: the United Kingdom, Latvia, Spain, Germany, Denmark, Poland, Portugal, or Ireland.
About
As a Senior 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 visualisation, reporting, and data insights will contribute to optimise business performance and empower decision-making and innovation at every level across different departments.
We are looking for a skilled data analyst who is passionate about using data to unlock insights, optimise performance, and drive the company’s growth as well as go first-principles to refine business questions and iterate solutions over time.
You Will
- Contribute to developing and implementing a comprehensive analytics strategy that aligns with our business objectives.
- Design, develop, automate, and maintain ongoing metrics, reports, analyses, and dashboards on the critical drivers of our business.
- Maintain data integrity and quality through the use of tools such as DBT.
- Partner with marketing, sales, and product growth teams to provide customer insights and identify opportunities for optimisation in customer acquisition, retention and engagement flows.
- 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.
- 3+ years of experience in data analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Product, Marketing and/or Sales.
- Proficiency in analytics and data tools and technologies like SQL, Python, DBT, and knowledge of statistical analysis, predictive analytics and experimentation (e.g. A/B testing)
- Experience with data visualisation tools (e.g. Metabase, Looker or Lightdash)
- Experience working with a version control environment (e.g. git).
- Excellent communication skills, with the ability to translate complex data insights into actionable strategies.
- Fluency in English, with outstanding written and verbal communication skills.
It’s a Plus If You Have
- Experience building retention, churn and lifetime-value models and providing value through their applicability to the business.
- Experience with causal inference techniques like causal impact analysis, difference-in-differences and/or propensity score matching.
- Experience working with Snowflake and Hex.
- Experience with data modeling techniques (e.g. snowflake schema).
- Experience in data orchestration tools (e.g. Airflow, Prefect, Astronomer)
- Experience with cloud platforms (e.g. AWS, Azure, GCP) and cloud data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery).
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.
