Quick summary: We're looking for a data analyst who can transform raw data into insights that drive decisions. You'll build dashboards that track how AI employees perform, run experiments to test new features, and identify patterns that help us grow. The challenge: making complex data simple enough for everyone to understand and act on. You'll work with SQL, dbt, and visualization tools to ensure we're building the right things for 50,000+ businesses.
Why join Sintra?
We build AI employees for small businesses. Real helpers with personalities, not faceless chatbots. They handle the work that keeps owners up at night - answering customer emails, posting on social media, analyzing sales data. For business owners who've always worked alone, we're giving them their first team.
50,000+ businesses use Sintra because for the first time someone made AI actually useful for them. While Silicon Valley builds for tech companies, we're building for the florist who needs help with Instagram, the contractor drowning in invoices, the restaurant owner who can't keep up with reviews.
This is a unique moment in history. AI just became good enough to fundamentally change how small businesses operate. Behind every business is someone trying hard for their family. Someone with one goal - put food on the table. And our job is to help them succeed.
Having just raised our $17M seed round, we're off to the races. Small, fast-moving team building together in person. We ship daily, take ownership of what we build, and live by one principle - work is play.
Who we're looking for
- 2+ years of experience as a Data Analyst or in a similar analytical role
- Proficiency in SQL for data extraction and manipulation, dbt
- Strong experience with data visualization tools (e.g., Lightdash, Tableau, Power BI, Looker)
- Solid understanding of statistical analysis and experimental design
- Experience with scripting languages (e.g., Python, R) for data analysis and automation
- Excellent analytical, problem-solving, and critical thinking skills with business-driven mindset
- Ability to translate complex data insights into business recommendations
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field
- Bonus: Master's degree, cloud platform experience (Google Cloud Platform, AWS), knowledge of machine learning concepts
What you'll do
- Collect, clean, and process large datasets from various sources to ensure data accuracy
- Perform data analysis to identify trends, patterns, and anomalies
- Develop and maintain ETL pipelines, dashboards and reports to present key performance indicators
- Design and execute A/B tests to evaluate effectiveness of new features and campaigns
- Collaborate with product, engineering and marketing to understand data needs and provide analytical support
- Translate complex data findings into clear, actionable recommendations for stakeholders
- Identify opportunities for process improvement across our data infrastructure
Our tech stack
- Database: PostgreSQL
- Transformation: dbt for data modeling and pipelines
- Analysis: SQL, Python
- Visualization: Lightdash, Mixpanel
- Experimentation: GrowthBook for A/B testing
Our hiring process
- Fill in the application form. If we see a fit, we'll reach out for an intro call.
- Complete a take-home task that mirrors real work you'd do here. Be prepared to explain what you did and why.
- Join us for a trial day in Vilnius. Meet the team, see if we're right for each other.
- Get an offer if it's a mutual fit.
We understand good people have options, that's why we move super fast. Life's too short for drawn-out hiring processes.
What we offer
- Compensation & Equity
Top-of-market salary in Vilnius plus meaningful equity, so you own part of what you build.
Salary range for this role: €3,000-6,000/month depending on expertise and experience. - Health & Wellness
Health insurance, gym membership with personal trainer option, team lunch at the office. - Seamless Relocation
Relocation bonus and support to make your move to Vilnius smooth.