Data analyst full remote Work, Jobs in Remote (with Salaries)

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Staff Data Analyst

Lokalise
Remote

Quick apply

Job details

Full-time
11 days ago

Benefits

Flexible schedule

Qualifications

Azure
Computer Science
Git
Google Cloud Platform
Master's degree
SQL
Statistical analysis
AWS
Bachelor's degree
B2B
Predictive analytics
Data visualisation
Redshift
SaaS
AI
Communication skills
Python

Full job description

Who are we

At Lokalise, we make it easy and profitable for businesses to expand into new markets. Our AI-powered localization platform helps companies manage both software and marketing content from a single, unified environment — ensuring every team speaks with one voice across every language and channel.

By automating workflows, integrating with over 60 tools, and centralizing translation memory and terminology, Lokalise enables product, engineering, and marketing teams to collaborate without friction and launch globally up to 10× faster and at 80% lower cost.

Trusted by thousands of businesses across more than 100 countries, Lokalise empowers millions of people worldwide to use digital services in their native languages. Backed by a customer-loved support team, our platform fits seamlessly into your design, development, and content workflows, helping you scale with consistency and control.

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, or Spain.

This is a full-time, remote position. Please note that we do not engage on a B2B or contractor basis.

About

At Lokalise, data is not a support function, but a competitive advantage. As a Staff Data Analyst, you will sit at the intersection of data, strategy, and business impact, working closely with Finance, Sales, Marketing, and Product to shape how the company understands and acts on its most important metrics.

This is a role for someone who goes beyond dashboards. You will challenge business questions at their root, design analytics solutions that scale, and raise the bar for how data is used and trusted across the organisation. You will bring the analytical depth to cut through complexity, the communication skills to bring stakeholders along, and the ambition to leave a lasting mark on how Lokalise makes decisions.

If you are energised by turning messy, ambiguous problems into clear and actionable insights, and by building the infrastructure and culture that makes that possible, this is the role for you.

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 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.

You Must Have

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.

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 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).
Experience with orchestration agentic AI platforms (e.g Dust, RelevanceAI, n8n).

Our Benefits

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.

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.

Quick apply

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