... and maintain scalable batch and real-time data pipelines for fraud analytics. Develop and optimize Spark-based data processing frameworks. Implement efficient data ingestion frameworks and integrate multiple data sources. Build and support Snowflake data warehouse and data lake solutions. Develop data models for reporting, ...
... using Airflow, MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external ...
... communication and stakeholder management skills Why Join? - Work with global teams on large-scale data transformation initiatives - Build modern cloud-native data solutions using Azure & Databricks - Opportunity to contribute to enterprise-wide analytics and data engineering programs Interested candidates can share their ...
... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience in a highly technical analytics or data science environment- Demonstrated experience delivering analytics solutions within a product or platform context, working in cross-functional teams- ...
... the teamThe Superpowers You'll Be Bringing To The Team : - Analytics expertise : 7+ years' experience in a highly technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership ...
... composable platform, Aera empowers organizations to optimize and automate all types of decisions, across every business area. We are looking for an Associate Data Scientist who is exceptional at understanding data, extracting insights, and turning those insights into robust machine learning or statistical models. You will ...
... to leadership- Align practice goals with overall company strategyJob Summary : - 16+ years of experience in Data & Analytics / Data Engineering / Enterprise Data Management- Proven experience in leading large teams and managing P&L- Strong understanding of cloud data platforms (Azure, AWS, GCP) and modern data architectures- ...
... support. Skills You Can Develop: During the internship, you can gain practical exposure to: Data Analytics | Business Intelligence | Data Cleaning | Exploratory Data Analysis | Data Visualization | Dashboard Development | Business Analytics | Statistical Analysis | Data Interpretation | Reporting | AI-powered Analytics Who ...
... demonstrate ROI from data https://jobeax.com/link/yIDsN49xDuMSVm8R Candidate Profile : - 10 - 12 years of overall experience in Analytics, Business Intelligence, Data Science, Product Analytics, or a related field.- At least 3 - 5 years of experience managing analytics teams or leading large, cross-functional analytics initiatives.- ...
... leadership in AI/GenAI projects.- Strong technical foundation in Python, cloud platforms (AWS/Azure/GCP), LLMs, Agentic AI tooling, and MLOps/LLMOps.- Experience in data engineering and analytics fundamentals (pipelines, warehousing, BI tools).- Excellent communication, negotiation, and stakeholder management skills.- Prior consulting ...
... accurate, governed data that stakeholders and partners can trust.- Own data quality: testing, CI/CD, documentation, and patterns the team follows.- Build and evolve Databricks dashboards and semantic metrics for self-service across the business.- Partner with data engineering, analytics engineering, and analytics stakeholders ...
Analytical Chemist – AI Safety Evaluation Expert $65–$75 per task Remote | Contract About the Opportunity We are seeking experienced analytical chemistry and chemical safety professionals to evaluate advanced AI systems on technically complex, potentially dual-use questions. The goal is to assess whether an AI model can ...
... https://jobeax.com/link/XeQgkERVo2V2JtoS Qualifications :- Workday Reporting Certification.- Experience with Workday Prism Analytics.- Exposure to Workday Adaptive Planning and Workforce Analytics.- Experience in Workday implementation, enhancement, or support projects.- Knowledge of data governance and reporting best https://jobeax.com/link/7TtOQkPhG0K8saJJ ...
... https://jobeax.com/link/XeQgkERVo2V2JtoS Qualifications :- Workday Reporting Certification.- Experience with Workday Prism Analytics.- Exposure to Workday Adaptive Planning and Workforce Analytics.- Experience in Workday implementation, enhancement, or support projects.- Knowledge of data governance and reporting best https://jobeax.com/link/7TtOQkPhG0K8saJJ ...
... automation, ETL, macros)- Data Analytics & Reporting (KPI design, trend analysis, executive reporting)- Root Cause Analysis (RCA) and data issue troubleshooting- Data Quality & Validation frameworks- Exposure to Power Automate, APIs, and workflow automation is a plus- Understanding of healthcare/insurance data is preferred ...
... acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements. What you’ll do Responsibilities - Perform data analysis, identify ...
... using your deep understanding of functional processes, data architecture, and analytics to identify opportunities, influence decisions, and deliver scalable, data -driven solutions that drive impact. This team is responsible for delivering dashboards, reporting and ad hoc analysis as part of the wider global analytic s ...
... with data strategy, including standards, principles, data sources, storage, pipelines, data flow, and data security policies.- Collaborate with data engineers, data scientists, and other stakeholders to execute the data strategy.- Perform data analysis to understand the relevant data sets.- Design and create Data Models to ...