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Experience Level
Experience
Qualifications
Proven experience in analytics, data interpretation, and strategic insights. Strong proficiency in analytical tools and methodologies. Excellent communication and presentation skills, with the ability to convey complex data in an understandable manner. Team-oriented mindset with the ability to collaborate effectively across departments. Bachelor's degree in a related field; advanced degree preferred.
About the job
The Strategic Analytics and Insights Business Partner at NielsenIQ in Belgrade works closely with clients to support their business decisions. This position centers on providing data-driven recommendations that align with each client's objectives.
What you will do
Analyze client data using advanced analytics methods to identify trends and patterns.
Break down complex results into practical, understandable insights.
Advise clients on strategies to enhance performance and achieve their business goals.
About NielsenIQ
NielsenIQ is a global leader in data analytics and market intelligence, dedicated to empowering businesses with the insights they need to thrive in today's competitive landscape. Our innovative solutions and cutting-edge technology help clients make informed decisions that drive growth and enhance their market performance.
Rivian and Volkswagen Group Technologies brings together two automotive leaders focused on shaping the future of mobility. This partnership emphasizes electric vehicle advancements, operating systems, connectivity, and intelligent solutions. The combined team works to improve how vehicles and systems connect, use artificial intelligence, and maintain securit…
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Join our dynamic team at SMG Swiss Marketplace Group as an AI Engineer. In this pivotal role, you will leverage cutting-edge technologies and methodologies to develop and implement AI solutions that drive innovation and enhance user experiences. You will work collaboratively with cross-functional teams to analyze complex data, design algorithms, and create intelligent systems that solve real-world problems.
Job OverviewJoin Wargaming's dynamic Analytics team as a dedicated Data Engineer. This role demands a proactive mindset, a passion for data, and a results-driven approach. As a Data Engineer, you will harness your technical expertise in high-load telemetry and data warehousing while collaborating effectively across teams.Your work will involve analyzing diverse product data, from financial metrics to detailed in-battle telemetry, capturing player actions, vehicle movements, and interface events. All insights are consolidated into a centralized data warehouse for near real-time analytics.Collaboration is key, as you'll work closely with the Data Warehouse team and a global community of over 50 analysts. This position offers the chance to thrive in a data-centric industry and leverage modern analytics technologies for tangible product outcomes.
P-1414 At Databricks, our mission is to revolutionize the entire data lifecycle—from ingestion to ETL, BI, and extending into ML/AI—through a unified platform. We envision a future where the traditional data warehouse architecture is transformed into a modern architectural paradigm known as Lakehouse (CIDR 2021 paper). This open platform harmonizes data warehousing with advanced analytics, addressing key challenges such as data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To realize this vision, Databricks is developing a cutting-edge (decoupled) query engine and structured storage system that aims to surpass specialized data warehouses in relational query performance while preserving the flexibility and robustness characteristic of general-purpose systems like Apache Spark™. Your contributions will be vital to this multi-year initiative. As a member of our team, you will design next-generation systems that set new benchmarks in the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization
JetBrains is hiring a Senior Product Manager focused on AI Analytics. This position centers on guiding projects that use artificial intelligence to improve user experience and support product growth. Role overview The Senior Product Manager will work closely with teams from different disciplines to shape and deliver AI-driven features. The goal is to ensure JetBrains products continue to set high standards in the industry. Key responsibilities Lead projects that apply AI analytics to enhance product capabilities Collaborate with engineering, design, and other teams to define and execute strategy Drive initiatives that improve user experience and support business growth Location This role is open in multiple cities, including Amsterdam, Belgrade, Berlin, Limassol, London, Madrid, Munich, Paphos, Prague, Warsaw, and Yerevan.
P-1415 At Databricks, our mission is to transform the data lifecycle by simplifying processes from data ingestion to ETL, BI, and extending to ML/AI through a unified platform. We envision a future where traditional data warehouse architectures are superseded by an innovative pattern known as the Lakehouse (CIDR 2021 paper), which merges data warehousing with advanced analytics. This paradigm shift addresses critical challenges like data staleness, reliability, total cost of ownership, data lock-in, and the limitation of use-case support. To realize this vision, we are developing a cutting-edge query engine and structured storage system designed to exceed the performance of specialized data warehouses in relational queries. We aim to preserve the expressiveness and robustness of general-purpose systems like Apache Spark™ to accommodate various workloads, including ETL and data science. Join us on this multi-year journey. As a member of our team, you will be involved in designing next-generation systems set to redefine industry standards in several key areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization Your Responsibilities: Clarify requirements and drive design decisions for ambiguous problems Create technical design documents and project plans Develop new features Mentor junior engineers Test, deploy to production, and monitor outcomes.
Role overview The Strategic Analytics and Insights Business Partner at NielsenIQ in Belgrade works closely with clients to support their business decisions. This position centers on providing data-driven recommendations that align with each client's objectives. What you will do Analyze client data using advanced analytics methods to identify trends and patterns. Break down complex results into practical, understandable insights. Advise clients on strategies to enhance performance and achieve their business goals.
Join us at Databricks, where we are driven by a passion for empowering data teams to tackle the most challenging issues globally — from transforming transportation to fast-tracking medical innovations. We pride ourselves on developing and maintaining the premier data and AI infrastructure platform, enabling our clients to harness deep data insights for business enhancement. Founded by engineers, Databricks is embarking on a transformative journey to create the leading Data Intelligence Platform. We are building on a solid foundation with the ambition to create significantly superior products. Our focus spans everything from the Storage Engine (data layout, encryption, caching, etc.) to the Query Engine (Vectorization, Query Optimization, etc.), with the goal of enhancing every component to offer our customers the most efficient, user-friendly, and secure data platform for all their data workloads. As a Software Engineer, you will be a pioneering member of our Belgrade site and contribute to our multi-year mission to realize our Lakehouse vision. You will engage in the complete development cycle and embody all core Databricks values: ownership, data-driven decision-making, teamwork, and customer obsession.
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