... than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective. com , or follow us on LinkedIn and X About Data and Analytics (DNA) Practice At Oliver Wyman Data and Analytics, we partner with clients to solve tough strategic business challenges with the power of analytics, ...
... close tracking gaps and document tracking requirements, and turning raw app data into dashboards, reports, forecasts, and recommendations. This is a hands-on data analyst role for an expert in SQL and Looker Studio who can pull mobile app data directly from source systems, build pipelines that consume app data into our ...
... https://jobeax.com/link/jjoGIvRsRnBsvZHu was founded as a platform for talented technologists who want to make a real impact for their clients. Some of the world's biggest businesses turn to us to help bring their data strategy, AI, cloud engineering and digital solutions to life. We're the home base for talented technologists ...
... Ownership & Strategy Define and own the vision, roadmap, and backlog for data products aligned to business priorities Translate business requirements into scalable data products such as datasets, dashboards, APIs, and analytics solutions Drive product lifecycle management from ideation, design, build, testing to deployment and ...
... etc.) - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Advanced degree in Data Science, Computer Science, or a related field Experience with big data technologies (e.g., Strong problem-solving skills and the ability to translate complex data requirements into scalable solutions Knowledge of data governance ...
... applications and next steps. Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze ...
... data from multiple enterprise systems. • Understand and document finance-related business logic and technical data flows. • Support integration of SAP financial data into reporting and planning solutions. • Collaborate with global stakeholders to gather and clarify business requirements. • Support data modelling and data transformation ...
... professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL development, and data streaming. - Experience with AWS products including Lambda, Step Functions, ...
... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...
... Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, analysing, and remediating data at scale ...
... and large-scale data processing. Cloud: Microsoft Azure (ADF, ADLS, Synapse) GCP (BigQuery, GCS, Dataflow) Data Governance Delta Lake Lakehouse Architecture Data Lineage Metadata Management Bonus / Plus Skills AI Generative AI (GenAI) Large Language Models (LLMs) Agentic AI Canonical Data Models AI–Data Platform Integration ...
... blueprints covering storage, compute, RBAC, security, network isolation, scalability, and cost optimization.- Big Data & Processing: Architect and optimize Spark/Databricks/Snowflake workloads, including Delta Lake design, cluster sizing, partitioning, Z-Ordering, Vacuuming, clustering, and performance tuning.- Data Pipelines ...
... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... skilled and experienced Data Engineer to design develop and maintain scalable data pipelines and data platforms The ideal candidate will have strong expertise in big data technologies cloud platforms ETL ELT processes and data warehousing concepts The role involves working closely with data scientists analysts and business ...
... Maintain organized digital records while safeguarding confidential customer, payment, and financial information. Support the Controller and Accounting team with data reviews, record corrections, reporting, and general administrative duties as needed. Previous experience in data entry, order processing, administrative support, ...
... Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing E2E data solutions DevOps/ Agile WoW Experience in designing and building advanced reports Programming languages: Python, PySpark, SQL Data enthusiast Big data frameworks: ...
... reliable, high-quality data, driving excellence in analytics and shaping outcomes that impact industries like H ealthcare and Financial Services . Design and build Data Pipelines using GCP services and BigQuery. Develop and optimize data solutions using Java or Python. Ensure data quality, governance, and compliance across projects. ...
... scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. Design, ...
... storage and search solutions supporting large-scale healthcare datasets. Build AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows. Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, ...