Data Analyst

Short company description

We are a leading technology company who constantly empowers people to envision and reach their full potential.

People are the foundation of our company. This is why we encourage and support them in every initiative and step of their career, valuing talent, energy and commitment over immediate resources’ availability and empty numbers. The engine of our growth and performance is being powered by their
open-mindedness, fairness, and team spirit.

What sets us apart is our ability to take up new challenges and learn every day in our common effort to exceed our customers’ expectations and expand the frontiers of technology innovation.

We identify gifted, open-minded and committed specialists, willing to evolve both as professionals and as human beings and we put all our efforts in helping them perform at their best.

We welcome people:
• Eager to take on new challenges and learn new things;
• Who put their heart, mind, and soul into everything they do;
• Who enjoy sharing knowledge and have team spirit.

If you are ready to engineer your future, join our team now!

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• ELK Stack Experience: Minimum of 3 years of hands-on experience with Elasticsearch, Logstash, and Kibana in the development of data pipelines and visualization.
• Python Proficiency: Proven hands-on experience with Python for data manipulation, analysis, and visualization.
• Project Portfolio: Demonstrated experience in leading and delivering at least three major projects utilizing the ELK stack for data analysis and visualization.
• Data Analytics Expertise: Strong expertise in data analytics techniques and tools, with a proven ability to turn raw data into actionable insights.
• Excellent Communication: Exceptional written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders effectively.
• Problem-Solving Skills: Strong analytical and problem-solving skills, with a proactive and innovative mindset.
• Willingness to Learn: Enthusiasm for continuous learning and adapting to new technologies and methodologies.
• Team Player: Demonstrated ability to work effectively in a collaborative team environment.
• Project Management: Experience in managing projects, including scoping, planning, and execution.
• Adaptability: Ability to thrive in a dynamic and fast-paced environment, handling multiple projects simultaneously.

Responsibilities

As a Data Analyst in our Digital Transformation team, you will:
• Lead Digital Transformation Initiatives: Drive the integration of data-driven insights into our digital transformation strategy, collaborating closely with cross-functional teams to identify opportunities and implement solutions.
• ELK Stack Expertise: Demonstrate your extensive experience with Elasticsearch, Logstash, and Kibana (ELK) to design, develop, and maintain data pipelines, ensuring efficient data ingestion, storage, and retrieval.
• Expertise in Python: Utilize your advanced proficiency in Python to manipulate, analyze, and visualize large datasets efficiently, contributing to data-driven decision-making processes.
• Project Management: Showcase your ability to lead and manage complex data projects, ensuring timely delivery, effective communication, and alignment with business objectives.
• Data Analytics: Apply your expertise in data analytics to extract meaningful insights from raw data,presenting findings through clear and compelling visualizations, dashboards, and reports.
• Data Processing and Cleaning: Utilize your meticulous approach to data processing and cleaning,ensuring accuracy, consistency, and reliability of the data used for analysis.
• Effective Communication: Leverage your excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders, fostering collaboration and understanding.
• Innovative Problem-Solving: Tackle challenging projects head-on, using your problem-solving skills to address issues, identify opportunities for improvement, and recommend data driven solutions.
• Continuous Learning: Stay updated with the latest industry trends, tools, and technologies related to data analytics, sharing your knowledge and insights with the team.
• Team Collaboration: Collaborate closely with data engineers, business analysts, and other team members to collectively enhance our data-driven capabilities and achieve strategic goals.

Benefits

• Medical subscription
• Trainings
• Courses
• Certifications
• Bookster subscription
• Flexible work schedule
• Laptop
• Mobile phone
• Parking space
• Fun / Relax Area
• Meal vouchers
• Holiday vouchers
• Cultural vouchers
• Gift vouchers