Marketing Analytics Engineer @Bioma

Vilnius, Lithuania

Kilo Health

Kilo Health is the second fastest-growing company in Europe that works in digital health and wellness. It has 5+ million customers worldwide.

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We are looking

For a Data Analyst with a strong foundation in data science and technical expertise to join our dynamic team. This role is critical for developing data-driven solutions to complex challenges in a high-scale e-commerce environment, where precision and actionable insights drive performance. 

Get ready to

  • Build data pipelines and optimize ETL workflows to ensure seamless integration across diverse data sources
  • Develop and deploy predictive and causal models to derive actionable insights, forecast trends, and address critical business questions
  • Collaborate with marketing, product, and operations teams to define key business questions and deliver advanced analytics solutions that guide decision-making
  • Work with structured and unstructured data to perform data wrangling, preprocessing, and validation, ensuring data accuracy and defining a reliable source of truth for critical metrics
  • Design and maintain interactive dashboards for stakeholders, conduct ad-hoc analyses, and provide consultative insights on key performance metrics
  • Lead and execute root cause analyses to diagnose and resolve challenges in areas such as e-commerce sales, user acquisition and user retention
  • Proactively enhance monitoring processes, identify anomalies and trends, and implement solutions to improve customer value and operational efficiency

We expect you to

  • Have a degree in Computer Science, Economics, Econometrics, Mathematics, Statistics, or equivalent experience in machine learning, data mining, and feature engineering 
  • Demonstrate proven expertise in predictive modeling, causal inference, and applying these techniques to solve real-world business challenges
  • Possess advanced proficiency in SQL, including expertise in query optimization, data manipulation, and debugging complex scripts
  • Have strong programming skills in Python, with experience in key libraries and frameworks for building reproducible data workflows
  • Be familiar with ETL processes, data warehouse concepts, and the ability to design and manage scalable data infrastructure (a plus)
  • Have experience in e-commerce analytics (a plus)
  • Be proficient with BI tools (e.g., Looker, Power BI, Tableau, QlikView) for creating compelling visualizations and driving data democratization
  • Translate complex analytical insights into business-friendly language, effectively engaging a wide range of stakeholders
  • Have a solid understanding of digital marketing KPIs, subscription-based business models, and lifecycle metrics
  • Be fluent in English and Lithuanian
  • Have experience with MLOps platforms such as Metaflow, BentoML, or KubeFlow for operationalizing machine learning workflows (bonus skill)
  • Have hands-on experience scaling analytics and data science pipelines in global e-commerce or high-growth industries (bonus skill)

Salary

Gross salary range is 3800 - 5100 EUR/month.

Location

This position is based in Vilnius, Lithuania: 4 days onsite, 1 flexible day remote.

Speaking of perks:

  • You will make a difference with your work, helping HealthTech products thrive, leading to over 6.5 million people living healthier lives, and unleashing your inner drive for innovation.
  • As a startup accelerator, we have 30+ different brands and are continuously expanding, giving you the flexibility to shape your career as you see fit. Whether you want to learn new skills, take on leadership roles, or specialize in a specific area, the choice is yours. You can even explore launching your own startup. We thrive on highly driven people.
  • Enjoy an additional 7 days to unwind: 5 days off whenever you choose, 1 day off during your birthday month, and an extra day off as a Christmas present.
  • It's all about the people — we'll make sure to take care of you when you're sick, give you an extra 3 days off to prepare for your big wedding day, and other thoughtful gestures to ensure you feel appreciated.
  • Our office life comes with perks like the usual ones — a stocked fridge, delicious hot lunches, and balanced breakfasts. But we also have an in-house movie theater, regular community events, a gym, fitness classes, social clubs, uniquely themed meeting rooms, and much more for you to explore.
  • Prefer working remotely? Your call. Work 40 calendar days per year from anywhere.
  • Be covered with our private health insurance after working with us for 3 months. Choose your plan and take extra care of your health and wellness needs.
  • Get creative with your learning and development budget. Elevate your skills and professional background with coaching and private learning sessions, conferences, courses, events, or whatever sparks your interest.
  • Be yourself, keep it casual, and get ready for a laid-back atmosphere with easy-going communication.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: BentoML Causal inference Computer Science Data Mining Data pipelines Data warehouse E-commerce Econometrics Economics Engineering ETL Feature engineering KPIs Kubeflow Looker Machine Learning Mathematics MLOps Pipelines Power BI Predictive modeling Python QlikView SQL Statistics Tableau Unstructured data

Perks/benefits: Career development Conferences Flex hours Health care Salary bonus Startup environment Team events Wellness

Regions: Remote/Anywhere Europe
Country: Lithuania

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