Senior Data Analyst
sintra.ai
Location
Vilnius
Employment Type
Full time
Location Type
Hybrid
Department
Data
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.
60,000+ 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
4+ 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
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Experimentation: GrowthBook for A/B testing
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.
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