Senior Data Analyst

Summary

Join Lokalise as a Senior Data Analyst and play a pivotal role in driving data analytics initiatives. You will design, develop, and maintain key metrics, reports, and dashboards, partnering with various teams to optimize business performance. Your expertise in data visualization and communication will be crucial in translating complex insights into actionable strategies. This fully remote position offers flexible working hours and a comprehensive benefits package, including competitive salary, stock options, and a supportive work environment. You must have a relevant Bachelor's or Master's degree, 3+ years of experience in a SaaS B2B environment, and proficiency in various data tools and technologies. Lokalise is committed to fostering a culture of inclusion and equal opportunities.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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)

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