Senior Data Analyst (Remote, Europe)

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

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.