Marketplaces Data and AI team work on components related to users, listings and marketplace which are foundational to Airbnb, and the quality of their data is critical to the success of our products and business. Your work will feed ML models and data products that directly inform pricing strategy,
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Reporting and analytics products including designing dashboards for diverse stakeholders (executives, analysts, operational teams), implementing
Under the guidance and supervision of the Operations Manager, the State and District Testing and Data Coordinator is responsible for planning, managing, and overseeing all aspects of local, state, and federally mandated assessments, as well as ensuring the integrity, accuracy, and compliance of stud
Our cutting-edge cybersecurity teams provide highly specialized technical and programmatic services including full-stack penetration testing, program efficacy assessments, and hardware hacking. Developing and executing new business and account growth strategies, identifying new service opportunities
You’ll bridge the gap between raw data from backend services and the decisions Jamf needs to make faster, working closely with data engineers, analysts, data scientists, and business stakeholders to ensure data is accurate, well-defined, and genuinely useful. You’ll own the design and delivery o
Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 5
Data Testing Coordinator – Regulatory Reporting & Data Validation (SQL/Python/Data Quality). Develop and execute testing strategies for regulatory reporting initiatives. Message and data rates may apply.
The role involves managing ETL processes and ensuring data quality for internal analytics. Caris Life Sciences is seeking a Data Integration Engineer to develop automated data integrations for customer healthcare data. The ideal candidate should possess a bachelor's degree and at least 3 years of ET
The ideal candidate will have at least eight years of experience in data analysis and a Bachelor's degree in Business Data Analytics or a related field. This role involves leading a team of analysts, developing strategic analytical tools and dashboards, and collaborating with stakeholders across the
Thorough understanding of multiple business data models and interpret data based on business operational functions. Direct component and data architecture design, technology planning, and testing for applications development initiatives to meet business requirements and ensure compliance. Support al
This hybrid role requires strong Excel skills and attention to detail, focusing on processing payments and data reconciliation. The ideal candidate will have 2+ years in finance or data entry, ensuring compliance and accuracy in all commission-related activities.
Strong knowledge of financial reports, business measurements and operational metrics to ensure maximum business impact to drive optimal decision making. This person should have experience managing the development and production of high-value mission solution programs to support mission critical syst
Automate reporting processes and improve efficiency using data tools and technologies* Collaborate with cross-functional teams (Risk, Finance, IT, Compliance) to gather requirements and deliver reporting solutions* Support regulatory reporting requirements and ensure adherence to applicable standard
MUFG Bank, Ltd in Tempe, AZ is seeking an AVP for Risk Data and Reporting to analyze financial data and support regulatory compliance. Ideal candidates will have a bachelor's degree and 5-7 years of experience in data analytics. The role demands proficiency in SQL, Tableau, and data visualization.
Configuring metadata vs handling huge volumes of data. Data Modeling Experience Professional. End-to-end data modelling, from requirement to final.