Top Hybrid Senior Level Data & Analytics Jobs
As a Digital Media Analytics Manager at Mondelez, you will be analyzing data while shaping the future of digital media strategy. Responsibilities include driving analytical excellence, forging powerful relationships, leading with insight, and optimizing for impact. Expect to be at the forefront of media and analytic innovation, shaping future strategies and influencing brand growth.
As a Digital Media Analytics Manager at Mondelez, you will be analyzing data while shaping the future of digital media strategy. Responsibilities include building digital media measurement toolkit, supporting the CX team, and driving analytical excellence. You will collaborate with global partners, lead with insights, and optimize for impact.
Primary liaison for the Global Data Management Team in implementing cutting-edge Data Orchestration solutions, specifically leveraging PEGA and integrating with S4 systems. Responsible for planning and executing Data Orchestration initiatives, managing strategy and technology capabilities through PEGA CoP Framework, and partnering with other teams to ensure seamless integration of data processes and systems.
Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.
The Senior Catastrophe Analyst will be responsible for overseeing portfolio analytics and risk management to drive profitability. They will work closely with underwriters and other stakeholders, providing insights and building tools and models. Strong proficiency in SQL and programming languages like VBA, R, and Python is preferred. The analyst should have knowledge of commercial insurance and reinsurance, as well as experience with Catastrophe modeling.
Featured Jobs
Lead the development and implementation of analytical capabilities and applications, creation of machine learning models and pipelines, development of personalization services, technology proof of concept projects, standardization of machine learning algorithm framework, collaboration with Data Scientists and Analysts, addressing complex technical challenges, analysis of data for insights, and mentoring junior engineers.
Lead Machine Learning Engineer responsible for developing and implementing analytical capabilities, building machine learning models and pipelines, overseeing technology projects, standardizing machine learning framework, analyzing data for insights, and mentoring junior engineers.
Lead Machine Learning Engineer responsible for developing analytical capabilities, machine learning models, and data products/services for a healthcare marketplace. Collaborate with data scientists, analysts, and mentor junior engineers. Requires 7+ years of experience in building machine learning systems at scale with expertise in Python, Scala, Golang, AWS, GCP, Azure, Databricks, Apache Spark, and deep learning frameworks.
.png)
As a Senior Data Analyst at Square Banking, you will partner with cross-functional stakeholders to gain insights into customers, drive data-informed decisions, and deliver a remarkable cash flow home experience. Responsibilities include identifying key analytics questions, influencing product roadmap, optimizing funnels, and communicating with high-level partners.
Lead Quality Analyst overseeing QA Analyst group and release management of mobile products. Ensure no errors in mobile software through rigorous testing and adherence to QA procedures. Responsible for test design, execution, maintenance, and closure.
Design and develop data models in Snowflake with DBT, write advanced SQL queries for ELT and data warehousing, collaborate with business partners, promote self-service reporting, and ensure data governance and privacy standards.
Lead teams to drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders across Capital One. Partner with cross-functional teams to deliver AI-powered products and engage in high-impact applied research to enhance customer experiences. Build AI foundation models using a variety of technologies.
Design, implement, and scale critical machine learning components and services, build next-generation training framework, perform model performance optimization, develop AutoML platform, collaborate with teams, provide technical direction, advocate for best practices
Join Iodine Software as a Senior Site Reliability Engineer specializing in managing and growing data platforms. Collaborate with teams on infrastructure projects and provide database performance consultations. Engineer solutions for expanding infrastructure.
Top hybrid Companies Hiring Data + Analytics Roles
See All
_0.png)
.png)
All Filters
No Results
No Results
