About the role:
We are looking for a Data Analyst / Data Scientist to join the Data & Analytics team. In this role, you will work closely with multiple business units, transforming complex data into clear, actionable insights that support strategic and operational decision-making.
You will be involved in deep data analysis, statistical modeling, predictive analytics, and machine learning initiatives. The role requires both strong analytical skills and the ability to clearly communicate findings to technical and non-technical stakeholders.
Responsibilities:
- Analyze and interpret data from multiple sources to identify trends, anomalies, and opportunities
- Apply statistical methods, predictive modeling, and machine learning techniques to support business decisions
- Collaborate with business stakeholders to gather requirements and deliver data-driven solutions
- Build, test, and maintain analytical models using Python
- Design and maintain analytics workflows using tools such as QlikSense, Python, and Amazon Redshift
- Create and maintain dashboards and data visualizations for different business units
- Translate complex analytical results into clear insights and recommendations
- Work closely with Product, BI, and Data teams to align analytics with business objectives
- Develop and automate custom reports to monitor key performance indicators
Requirements:
- 3+ years of experience in data analytics, data science, or a similar quantitative role
- Strong proficiency in Python for data analysis (pandas, NumPy, scikit-learn, etc.)
- Solid SQL knowledge
- Experience with BI and data visualization tools (QlikSense, Tableau, Power BI, or similar)
- Experience with product analytics tools (Mixpanel, Google Analytics, Amplitude, or similar)
- Knowledge of statistical analysis and predictive modeling
- Experience working with Jupyter Notebooks or similar analytical environments
- Strong analytical and problem-solving skills with high attention to detail
- Ability to work independently in a fast-paced, scaling environment
- Experience collaborating with globally distributed teams
- Strong communication skills and ability to present insights to non-technical audiences
- Bachelor’s degree in a quantitative field (Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, or similar)
Nice-to-Have Skills:
- MSc or PhD in a quantitative field
- Experience with AWS cloud services
- Hands-on experience with Amazon Redshift
- Familiarity with Scrum and Jira
- Experience with Jenkins
- Experience deploying data solutions and integrating analytics into business workflows
What we offer:
- Competitive salary based on experience
- Supportive working climate with flexible work practices
- Lunch tickets
- Coffee, fruits and other goodies at the office
- Sport facilities
- Company-sponsored events
- Travelling opportunities in some project areas
- Career development opportunities (certifications / trainings /
conferences)
- Feel IT referral bonus
About us:
Feel IT Services is an IT services company that provides software development services, 24/7 service desk and cyber security penetration tests.
The headquarters of the company are based in Paris, while our skilled engineers are located in Iasi, Romania and Chisinau, Moldova.
Our Customers are mostly from Europe, UK and the US, and can be large International groups & corporations or SME, IT System Integrators & Managed services operators, Independent Software Vendors and Startups.
We develop a healthy culture based on: Quality, Flexibility, Transparency and Respect.