Top Data & Analytics Jobs

The Data Scientist, Product Analytics at Ladder is responsible for driving quantitative analysis to inform product development and iteration. They collaborate with product, design, and engineering teams to define KPIs, conduct data analysis, and design scalable data infrastructure. The role requires 3+ years of experience in data science and a strong understanding of statistics and SQL.

In this role, you will utilize advanced analytical techniques to extract insights from large datasets, develop GenAI and AI solutions, collaborate with clients to solve complex business problems, and oversee the daily operations of a global data analytics team.

As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.

As a Data & Analytics Engagement Lead, you'll develop data strategies and manage data integration across sales and ERP systems like SAP and Salesforce. Your role involves collaborating with business and data owners to define reporting requirements, design data models, and support self-service reporting initiatives. You'll play a crucial part in data-driven decision-making within the organization and engage in data architecture to ensure reporting needs are met.

The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.

As a Senior Manager of Data Engineering, you will develop data flows, ETL/ELT pipelines, and analytics solutions for the global EDNA platform. Responsibilities include creating analytical data models and partnering with business teams to design scalable solutions using a range of modern data tools.

As a Senior Data Scientist in Growth Analytics at Moloco, you will provide data products and insights to improve campaign performance. You'll engage in data gathering, validation, and collaborate with stakeholders while developing automated reports and dashboards to enhance business goals.

The role involves utilizing advanced analytical techniques and developing AI and GenAI solutions to extract insights from large datasets. You'll build and document analytical models, collaborate with clients to understand their business problems, and process both structured and unstructured data. Responsibilities also include managing a global data and analytics team and ensuring quality in deliverables.

As a Technical Senior Associate, you'll lead clients through the design, implementation, and optimization of Oracle Data Management and Analytics systems while mentoring junior team members. You'll handle complex technical challenges and serve as a hands-on technical lead for various Oracle Cloud projects.

The Manager of Seller Fees & Incentives Data and Analytics will lead the data and analytics function to enhance business strategies related to seller fees. Responsibilities include building data capabilities, translating data into actionable insights, collaborating with cross-functional teams, and supporting business case creation for incentive programs.

This role involves leading data and analytics engineering, designing and building robust data infrastructure and systems, developing data pipelines, and ensuring data governance. You will mentor team members, manage projects, and collaborate with stakeholders to meet business goals.

As a Cloud Data & Analytics Architect, you will collaborate with clients to design and implement Microsoft Azure solutions, lead feasibility assessments, develop proposals, and mentor teams in cloud data and analytics deployment. You will also engage in business development and maintain client relations.

The role involves supporting the Analytics & Product team at Live Nation by enhancing data products, debugging SQL queries, exploring trends within datasets, and participating in product design. The candidate will help analyze data to improve brand campaigns and ensure data quality for various business solutions.

Translate business problems into applied statistical, machine learning, and optimization solutions to drive business value through automation, revenue generation, and risk reduction. Collaborate with engineering partners to deliver scalable solutions and enable customer-facing applications. Build analytical modeling solutions using statistical and machine learning techniques and contribute to the company's internal packages and applications.

In this role, you will leverage advanced analytics techniques to extract insights from large datasets, support clients with data-driven decision-making, and develop AI and GenAI solutions. You'll manage relationships, navigate complex situations, and align technical solutions with strategic objectives while leading client-focused initiatives.

The Senior Collibra Developer is responsible for configuring and deploying the Collibra data catalog system, managing metadata, developing custom workflows, and ensuring data classification and lineage. This role involves integration between Collibra and other systems, data management strategy development, and collaboration with data governance teams to adhere to best practices.

As a Senior Manager of Data Analytics at Walmart, you will lead a team of analysts to deliver insights and manage the analytics roadmap for the New Propositions product suite. You'll collaborate with business and product teams, define KPIs, and utilize advanced analytics to drive business performance and strategic initiatives in e-commerce.