... in line with best practices and build standards, ensuring high-quality deliverables. Manage cross-functional integration with other SAP modules and oversee master data activities. 5 to 8 years of experience in SAP S/4HANA Finance, with deep expertise in Asset Accounting configuration and a strong understanding of related ...
... from the moment they personalize their device for the first time and throughout their daily mobile journey. We're looking for a Senior Data Analyst to join our data-driven team at an ad-tech company that thrives on turning complexity into clarity. Our analysts play a critical role in transforming raw, noisy data into accurate, ...
... Delivery function, ensuring consistent cadence, ceremony quality, and improvement discipline. Working closely with Product Owners, Scrum teams, the Chief Scrum Master, Engineering, and technology partners, this role coaches other Scrum Masters, resolves cross-squad impediments, and standardises delivery practices across the ...
... and the technical Data Platform team — keeping both sides aligned on priorities, requirements, and delivery progress. - Work closely with the Data Architect on data modelling decisions to ensure physical models reflect business semantics correctly. - Support the Lead Data Analyst and Analyst team by ensuring the data products ...
Join us as a Scrum Master, at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital ...
The Role You own the data substrate and the batch runtime of a product we are building from scratch. This is a data-specialist seat, not a general backend seat. Routine application development is guided in weekly reviews; what cannot be substituted is your depth in data modeling, set-based computation, and pipeline correctness. ...
... pipelines to convert data between source and target systems, following the mapping and transformation logic defined by the Architect. Good working knowledge of data mapping, source-to-target transformation logic, and reconciliation techniques for large datasets. Collaborate with application engineers, business analysts, and ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. https://jobeax.com/link/6WcBICn0LM558SP0 ...
... environment, motivating individuals to advance their skills, and encouraging continuous progress beyond familiar boundaries. Possess 5–8 years of experience as a Scrum Master managing Agile teams, with Scrum Master certification. Adept at creative problem-solving and delivering measurable results in rapidly evolving and demanding ...
... of truth. Develops and operationalizes data pipelines to bring data into Costco’s GCP landscape for the delivery of certified data sets Works in tandem with Data Architects, Data Stewards, and Data Quality Engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality ...
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
... framework (catalog, lineage, ownership)- Ensure data quality, consistency, and compliance- Work closely with business leaders to translate requirements into data solutions- Lead cross-functional teams (data engineers, analysts, data scientists)- Manage vendors, partners, and external technology providers- Drive roadmap ...
... solutions in Client Data Product Management . As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution. Drive product development for the CDM data product ...
... hands-on experience in data science.- Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, TensorFlow/PyTorch.- Expertise in SQL for data extraction, transformation, and analysis.- Proven experience with PySpark or distributed data processing frameworks.- Deep understanding of machine learning and ...
... We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work with a team of expert Data Analysts/Scientists/Engineers and a team of expert and dedicated developers. The key focus of this role is ...
... reviews Historic correspondence with the rating authority or billing authority Compare factual data against client records to identify: Comparable and Background Data Support Support senior colleagues by collating available comparable assessment data where directed (data gathering only, not valuation analysis). ~ Ensure mandatory ...
... prospective investments, including company profiles, competitive landscapes, and regulatory considerations. Manage, mentor, and guide a team of research and data analysts along with the other fund manager(s) There are no area of study requirements but educational credentials which give you the skills required to perform ...
... out candidates are eligible. Technical Skills Creo 3D Modelling & Drafting SolidWorks 3D CAD AutoCAD 2D/3D CAD Autodesk Inventor 3D CAD MATLAB Programming & Data Analysis Simulink Modelling & Simulation LabVIEW Data Acquisition & Instrumentation Instrumentation Control & Measurement Systems Ideal Candidate Engineering ...
... cases, financial assessments, and impact estimates for strategic initiatives. Evaluate new business opportunities and support leadership decision-making through data-driven insights. Natively embed generative AI tools across daily workflows for market research, unstructured data synthesis, business case modelling, etc. Performance ...