About us:

Fleming was founded with the goal of creating high-quality digital health, wellness, and AI programs globally. We seek to make people's lives happier, healthier, and more productive by creating empowering self-growth products for everyday life. Our team of experts ranges from innovative AI specialists, creative minds, and imaginative designers to professional medical doctors and data scientists, working together as one to help millions of people around the world.

With 1,2+ million customers worldwide, we're providing unique opportunities, attracting talents to join our fast-growing team, and creating innovative brands in a rapidly growing digital health industry. If you think you're bold, ambitious, and not afraid to challenge yourself, let's talk!

We are looking:

We are seeking a Data Analyst with Data Engineering experience to strengthen our data-driven decision-making. You will primarily focus on analyzing data, building reports, and supporting stakeholders with insights, while also contributing to data integration and improving workflows where needed. This is a great opportunity for a mid-level analyst who enjoys working with both data insights and the foundations that make those insights possible.

Get ready to:

• Use BigQuery, SQL, and Looker Studio to deliver accurate and timely insights.
• Analyze data and create reports that help stakeholders make informed decisions.
• Identify and resolve data issues such as quality gaps, discrepancies, and missing values.
• Contribute to the improvement of data pipelines and transformations (not necessarily owning them end-to-end).
• Apply SQL and data modeling practices to support reporting and analytics.
• Assist with data validation and monitoring to ensure reliability of dashboards and reports.
• Use R or Python for data analysis, automation, and solving more advanced analytical problems.
• Communicate results and recommendations effectively with technical and non-technical teams.
• Support colleagues with reporting and analytics tasks, sharing best practices and solutions.

We expect you to:

• Have solid SQL skills: ability to join and manipulate different data types, debug code, and optimize queries.
• Have experience working with BI/reporting tools (e.g., Looker Studio, Power BI, or Tableau).
• Have knowledge or experience working with R or Python for data analysis and automation.
• Be familiar with basic data engineering concepts (e.g., ETL/ELT, data modeling, automation), with a willingness to grow these skills further.
• Communicate clearly and consistently about progress, challenges, and findings.
• Be curious, detail-oriented, and eager to learn.
• Be fluent in English and Lithuanian.

Our Benefits & Perks:

• Office Location: A peaceful, green workspace in the heart of Antakalnis, Sapiegos Park. Perfect for focus and fresh air.
• Parking Compensation: We cover your parking expenses, so you can commute stress-free.
• Health Insurance: Private health insurance after 3 months to support your well-being.
• Work-from-Home Flexibility: Hybrid setup, 4 days in the office, 1 day from home. We stay flexible when life happens.
• Pet-Friendly Office: Bring your furry friend to work.
• Work Tools: We’ll set you up with a MacBook and all the tools you need to do your work.
• Grow Your Skills: We believe in learning and growth. If you need extra training or courses to level up, we’re here to support you.
• Daily Meals: Lunch is prepared in the office every day. On Fridays, we mix it up, sometimes we head out to San Diego Pub, other times we order in pizza, sushi, or other.
• Snacks & Refreshments: Unlimited drinks, snacks, fresh fruits, and veggies.
• Team Events: team buildings, summer/winter events, and activities to keep the vibes going.
• Birthday Surprise: We celebrate your birthday with a gift.
• Referral Bonus Program: Know someone awesome? Get rewarded for helping us grow.

Salary

Gross salary range is 3500-5000 EUR/month.

*Salary is negotiable depending on experience.