Staff Data Analyst

Lokalise

Staff Data Analyst responsible for developing analytics strategies and tools that drive business decisions at Lokalise, a company specializing in localization solutions.

Posted 7/16/2026full-timeRemote • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, with a strong focus on developing and implementing strategies that drive business growth through data-driven insights. Proficient in utilizing analytics tools and AI-driven workflows to enhance decision-making and operational efficiency.

Highest-signal resume keywords

Data AnalyticsSQL ProficiencyPython ProgrammingAI-Driven Analytics DevelopmentData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsSQLPythonStatistical AnalysisPredictive AnalyticsA/B TestingData IntegrityMetrics DevelopmentAutomationData Reporting

Soft Skills

Excellent Communication SkillsCollaboration

Tools & Technologies

DBTMetabaseLookerLightdashGit

Certifications & Qualifications

Bachelor's Degree in Data ScienceMaster's Degree in Data Science

Industry Keywords

SaaSB2BFinanceGTMProduct

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 Finance, Marketing, Sales, and Product teams to provide customer insights and identify opportunities for growth and customer acquisition, retention and engagement flows.
Champion the use of data in decision-making, ensuring data accessibility and literacy across all departments.
Champion and embed AI tools and agentic workflows across the data practice, accelerating analysis, automating repetitive tasks, and enabling forward-looking insights, while experimenting with emerging approaches and establishing best practices that continuously raise the team's AI maturity.

Requirements

What you’ll need

A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
5+ years of experience in data analytics in a SaaS B2B environment in at least one (more is a plus) of the following business areas: Finance, GTM and/or Product.
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).
Excellent communication skills, with the ability to translate complex data insights into actionable strategies.
Experience with data visualisation tools (e.g. Metabase, Looker or Lightdash).
Experience working with a version control environment (e.g. git).
Experience working with AI-driven analytics development, implementing reliable and accurate agentic analytics workflows.

Benefits

Comp & perks

💰 Competitive salary and employee stock options.
🌍 Fully remote setup with flexible working hours.
🏢 Co-working budget for those days you want a change from your home office.
🌴 Flexible vacation policy to recharge when you need to.
🖥️ Home office setup budget: monitor, desk, ergonomics, whatever helps you do your best work.
📚 Learning & development budget to grow your skills and career.
🏥 Health insurance to keep you covered.
🧘 Wellness allowance to support your mental and physical well-being.
🤝 Great startup culture: remote but close-knit, with regular retreats and social events to stay connected.