... ad creatives, landing pages, funnels, and audiences to improve engagement and conversion rates. Monitor, track, and report campaign performance, translating data into clear insights and actionable recommendations for stakeholders. Collaborate closely with content, design, product, analytics, and tech teams to ensure effective ...
... department in line with Hyatt International's Corporate Strategies andbrand standards, whilst meetingemployee, guest and owner expectations. The Assistant Materials Manager is responsible to assist the Materials Manager in the planning and procurement of material, including vendor development and administration of contracted services ...
... such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Principal Analyst - Global Digital Risk & Data Protection We are looking for a highly motivated Data Protection Specialist with 5–6 years of hands-on experience in cybersecurity, data protection, and security ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
... in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... Ongoing Maintain org-wide security baseline (SSO/MFA via OneAuth, password management via Vault) appropriate for a business handling client financial and KYC data. Design Zoho Analytics dashboards for Management, Sales, and Ops reporting once source modules are stable. Keep standard Zoho modules over custom modules wherever ...
... skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work ...
... financial reporting to lead business testing for financial reporting projects and system changes. The role will involve working closely with Finance, Reporting, Data, Change, and Technology teams to ensure solutions meet business requirements, data quality standards, and regulatory https://jobeax.com/link/v8IqMlkHIB1qA5Sh ...
Position Overview:We are looking for a Data Engineer with hands-on experience in Apache Airflow, Python, and Jupyter Notebook to build, orchestrate, and maintain robust data pipelines that power our analytics and business decisions. In this role, you will work closely with data teams to clean, transform, and move data reliably ...
... standards. Support audit activities and ensure required controls are evidenced. Drive production readiness and operational support planning. Partner with Product Managers to translate business outcomes into executable delivery Support delivery of pricing platforms, data products, integrations, analytics and AI Supply to long-term ...
... the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... Services. Ability to optimize and tune queries and data processing for performance improvements. Familiarity with integration of analysis services with other data platforms and business intelligence tools. Competence in troubleshooting and resolving issues related to data analysis and reporting. The candidate should have ...
... key responsibilities: - Providing Application Database and Replication support for a large DB2 z/OS sysplex environment - Providing Application Database and Data Migration support for an established cloud-based database infrastructure - SQL tuning and Performance on both Db2 and PostgreSQL - Maintenance of Databases – ...
... development and business stakeholders to enable analytics for long-term success. ___________________________________________________________ Department: Global Data & Analytics Cyber Hub, Gurugram, Haryana (5 days in office) Job Type: Permanent, Full-Time (40 Hours) Reports To: Senior Manager- Enterprise BI ___________________________________________________________ ...
... US-based technology consulting engagements. You will work directly with US clients and consulting leadership in the Pacific Time zone, managing multiple concurrent data and analytics projects built on the Microsoft stack (Microsoft Fabric, Azure, Power BI, and related services). This is a client-facing delivery role: you will ...
... expertise for large-scale data analysis and reporting. - Experience with BI tools such as Superset, Tableau, Power BI, or Looker. - Solid understanding of product analytics, marketing metrics, funnels, and experimentation frameworks. - Familiarity with digital marketing platforms such as Google Ads and Meta Ads Manager. - Experience ...