Remote Data Jobs · Python

Administer, monitor, and ensure the continuous operation of the Data Warehouse (DWH) infrastructure, perform regular tuning of SQL queries, indexes, partitioning, and DWH configuration parameters to achieve maximum processing speed. Configure and control user access rights in compliance with internal security policies. Develop, implement, and test backup strategies and Disaster Recovery Plans. Implement and maintain monitoring systems, analyze logs, and provide warnings for potential issues.

We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses. This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting.

As a Senior Data Scientist on Lime’s Rider DSA team, you will play a critical role in helping us understand our riders and uncover the drivers of retention. You’ll focus on experimentation, product analytics, and data deep-dives that surface actionable insights for product and business teams. Partnering with Product, Engineering, and Operations, you’ll help shape strategy on initiatives like early-funnel adoption, second-month retention, and loyalty programs.

You will work with Engineers, Data Scientists, Managers, and others to understand their needs, and actively work to build datasets to tackle these challenges. Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for product teams. Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features. Drive data quality and best practices across different business areas.

Ready to take on the challenge of building robust data solutions for cutting-edge Data & AI initiatives? As a Senior Data Analyst, you’ll be at the forefront of developing and optimizing data pipelines and architectures that enable Data & AI models to deliver transformative insights. Join us to shape the future of digital healthcare with data-driven innovation.

The Senior Data Analyst will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will help develop and implement data-driven solutions that ensure strategic decision-making and drive business growth. We are looking for an experienced and motivated Senior Data Analyst with technical expertise, business insight, and a proactive mindset to solving problems. The Senior Data Analyst will manage various projects, work cross-functionally, and drive results in a dynamic environment.

Experian is looking for an experienced Senior AI Data Scientist to join our Analytic Innovations group to focus on developing agentic AI solutions and advanced marketing analytics models that move strategic decision-making across the consumer credit lifecycle. This individual will have deep technical expertise in coding intelligent agents, experience in marketing analytics for consumer lending products with modeling knowledge plus experience applying AI to real-world challenges in financial services.

Lead the Data Science and Analytics - Supply team in enhancing vehicle positioning, demand forecasting, and fleet health. This role will drive data science initiatives that optimize vehicle supply, rider experience, and operational efficiency through machine learning, optimization, and experimentation. You will work cross-functionally with Product, Engineering, and Operations, ensuring Lime's fleet is positioned where and when riders need it most.

Spearhead the development of an advanced analytics program, collaborating closely with key stakeholders to drive the organization's continuous growth. As a crucial member of our dynamic data department, you will tackle the challenges presented by our unique data pipeline streaming from thousands of MySQL databases to our data warehouse, focusing on scalability, reliability, and performance optimization.

Build, maintain, and optimize data pipelines in AWS for processing and integrating diverse data sources. Clean, transform, validate, and structure financial and analytical datasets for downstream consumption. Develop and enhance Python scripts and workflows, including data transformations using Pandas and SQL. Automate manual and repetitive workflows to increase operational efficiency.