MailerLite: Data Analyst

• Strong knowledge of SQL (BigQuery experience is a big plus)

• Experience analyzing product data (users, events, features, funnels, retention, etc.)

• Ability to independently design analyses and validate assumptions

• Experience working with stakeholders from Product and/or Marketing

• Familiarity with Google Looker (creating dashboards and explores)

• Basic knowledge of Notebooks usage

• Clear communication skills

• Based in EMEA or Southeast Asia

Nice to have skills:

• Familiarity with PostHog

• Knowledge of Google Cloud Platform

What we offer

• Yearly gross salary range: $45,000-$60,000

• Remote-first culture: Our team works remotely from around the world

• International health insurance: Provided with coverage in most countries, with a monthly payout available in select countries where coverage is limited

• Company-paid retreats: Once a year, we gather for a week in an exotic location to work, learn, and have fun together

• 31 days of vacation (including public holidays): We encourage you to unplug and recharge!

• 12 paid sick days: For your physical and mental well-being, no doctor’s note required. Parents can use them to care for their sick children

• 4 creative days: One paid day off per quarter to do something creative and fun

• 12 parental days: Enjoy one paid day off each month to treasure time with your children

• Parental leave: 100% paid leave when welcoming a new child through birth (3 months maternity, 1 month paternity) or adoption

• Parenting budget of $1000: A $1000 special gift to celebrate the arrival of your little one, whether through childbirth or adoption

• Joy Budget: Annual allowance to spend on what brings you joy, starting at $1,000 per year and increasing over time

• MacBook and other tools: These help you to do your job efficiently

Team Achievement

• Building a modern data platform

The Data team has designed and implemented a scalable data platform that supports our growing product and user base. This includes establishing a cloud-based data lake on Google Cloud Storage and a centralized analytics warehouse in BigQuery. Together, these foundations ensure that data is reliable, accessible, and ready to support both day-to-day analysis and long-term strategic decisions.

• Analytics engineering and data modeling

The Data team introduced dbt to standardize transformations and data modeling across the organization. This brought clearer data definitions, better documentation, and more trustworthy metrics. As a result, teams across Product, Marketing, and Finance can work with consistent, well-defined data and speak the same “data language.”

• Insightful dashboards for better decisions

The team delivers rich, self-service dashboards in Looker that help stakeholders track product performance, user behavior, and business KPIs. These dashboards turn complex datasets into clear, actionable insights, supporting faster decision-making and helping teams measure the impact of their work.

• Enabling data-driven product growth

Beyond infrastructure and reporting, the Data team works closely with product managers, engineers, and marketers to answer real business questions, challenge assumptions, and uncover opportunities for growth. Their work helps ensure that product and business decisions are grounded in data, not guesswork.