Data analyst állások, munkák

• Experience in different data science topics
• Independent delivery of data science projects with product-oriented mindset
• Engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

Partner with Marketing: Act as a strategic partner to the Marketing organisation and advocate for data-driven decision-making by effectively communicating AI strategy and its alignment with business objectives....

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Production of actionable insights and recommendations for Go-To-Market strategy and product roadmaps through competitive, buyer, customer, and market research
• Support of primary research development including in-depth interview protocols and quantitative survey instruments

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities including effort estimation and proposal creation
• Architecting and planning robust data models and modern data platforms

Grow personally as a key player in the global Innovation & Strategy team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions including technology scouting, innovation...

Grow personally as a key player in the global Innovation & Strategy team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions including technology scouting, innovation...

Junior Data Engineer (a) Imagine using your data engineering skills to improve the way cardiovascular health is monitored and managed. Hilo by Aktiia is redefining blood pressure monitoring through AI-driven optical technology built on more than 20 years of research at the Swiss Center for...

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships individually or with a Project Manager
• Support of pre-sales process
• Mentoring of junior engineers
• Contribution to hiring data talent

• Compliance with all Client and Cushman & Wakefield internal processes and data quality controls
• Delivery of the contracted service level
• Reading real estate leases and associated documents to record information regarding payments, critical dates, and responsibilities or comparing legal documents

• Managing monthly and quarterly closing
• Ensuring accuracy and compliance with internal financial standards
• Preparing pre- and post-calculations to support decision-making and cost transparency
• Contributing to the development of financial plans, forecasts, and analytical reports

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Design, build, and operate scalable data infrastructure
• Build and optimize scalable data warehousing and lakehouse solutions
• Ensure data integrity end-to-end
• Create and own robust ELT pipelines connecting multiple internal and external data sources

Junior Data Engineer (graph modeling) 100% Degree: Done. Next stop: Building the data infrastructure that powers the digital world. Everyone hypes up the front-end, but we know the truth-it's the data pipelines that do the heavy lifting. If you're a fresh Data Engineer hungry for massive scale,...

Data-Driven Product Improvement: Analyze usage patterns, performance bottlenecks, and feature adoption to guide product roadmaps and engineering priorities....

• Support Snowflake-to-Databricks data migration activities
• Design and implement scalable data pipelines in Snowflake and Databricks
• Develop data ingestion and transformation processes from various sources
• Migrate and optimize existing data workflows, ETL processes, and transformation logic

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Architect scalable inference services, APIs, and backend components for model-driven and LLM-powered product features
• Productionize AI and ML workflows with strong MLOps practices
• Define and implement evaluation frameworks for model quality, system reliability, latency, and cost

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks