
Mid/Senior Analytics Engineer
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
- Motion Technologies: (Revenue of $1.4B; headcount of ~ 4,000; operates in 13 countries) manufactures brake components and specialized sealing solutions, shock absorbers and damping technologies primarily for the global automotive, truck and trailer, public bus and rail transportation markets.
- Industrial Process: (Revenue of $1.4B; headcount of ~3,400; operates in 30 countries) manufactures engineered fluid process equipment serving a diversified mix of customers in global industries such as chemical, energy, mining, and other industrial process markets and is a provider of plant optimization and efficiency solutions and aftermarket services and parts.
- Connect and Control Technologies: (Revenue of $0.8B; headcount of ~ 3,800; operates in 10 countries) manufactures harsh-environment connector solutions, critical energy absorption, flow control components, and composite materials for the aerospace and defense, general industrial, medical, and energy markets.
- Be curious and eager to work across the entire data stack, from data ingestion to data visualization
- Be open to learn and explore data analytics techniques and tools
- Have a strong problem-solving mindset and a passion for data-driven insights
- Thrive in a fast-paced environment with evolving priorities
- Possess excellent communication skills and the ability to collaborate across teams
- Design and implement data models to support business analytics and reporting
- Work closely with data engineers and business stakeholders to understand data requirements and deliver scalable data solutions
- Identify problems, explore potential solutions, evaluate their feasibility and make informed decisions to address the issues
- Lead analytics projects from inception to completion
- Build interactive dashboards and reports using Power BI to provide actionable insights
- Analyze complex data sets to identify trends, patterns, and opportunities for optimization.
- Participate in the definition of best practices, standards and optimization techniques to enhance the BI solutions
- Be part of the development and maintenance of cloud data pipelines that ingest, clean, transform, and store data from various internal and external sources
- Ensure data quality and governance practices are followed throughout the data lifecycle
- Work with SQL, Python, and Azure Data technologies (specifically Microsoft Fabric)
- Collaborate on a multinational cross-functional environment with business units to design self-service analytics solutions, enabling users to create their own reports and analyses
- Stay up to date with the latest trends in data analytics, continuously improving tools, processes, and best practices on Azure
- 5+ years of experience in data analytics, or a similar role
- Extensive experience in data modeling for reporting and analytics use cases
- Proficiency in data visualization tools, more specifically Power BI with a focus on designing user-friendly dashboards
- Solid knowledge of SQL and Python for data processing, data analysis and data science
- Hands-on experience with cloud data platforms, preferably Azure
- Proven track record of leading analytics projects from inception to completion
- Proficiency in evaluating and selecting appropriate technologies and methodologies to ensure optimal project outcomes
- Demonstrated ability to design and propose solutions to meet project requirements, including data engineering and analytical tools such as Power BI, Fabric Dataflows and other enterprise tools
- Experience working in agile development environments and be a collaborative team player
- A team-oriented mindset and a passion for data-driven innovation
- Experience with version control tools (git), working in dev and production environments is considered a plus
- Familiarity with data warehousing concepts
- Familiarity with data governance practices to ensure data accuracy, consistency, and security
- Exposure to data science concepts for analytics will be considered a plus
- Strong communication and presentation skills
- Bachelor’s Degree in Computer Science, STEM or a related field
- Data Analytics, Data Science or Data Engineering certifications / bootcamps / Master’s degree are a plus