Remote Data Jobs

We are looking for an experienced SEO Analytics Developer to contribute to a freelance project for the US customer. The role focuses on designing, implementing, and optimizing digital analytics solutions using tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), and data layer frameworks. The position ensures accurate event tracking and actionable insights to support data-driven decision-making.

Goods & Services is looking for a Senior Database Engineer who has a strong background in financial industry and hands-on experience leveraging AI powered tools – including dbt Copilot, Cortex AI, GPT and other Generative AI technologies to join our dynamic and growing data engineering team. Your core function will be to design, build, and maintain data infrastructure and pipelines to support large-scale data processing and analysis.

As the Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This individual contributor role requires a deep technical expert to define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company. You will design company-wide personalization architecture and strategy and lead cross-functional initiatives spanning multiple quarters.

Expanding our team of motivated technologists to build AI and ML solutions for our customer. Specifically looking for an ML Engineer who is passionate about helping customers build Data Science and AI/ML solutions at scale. Help our delivery teams build ML solutions and build solutions across Data Science, Machine learning, Generative AI, databases, security, and automation.

Innovate ML algorithms to maximize ROI and advertising performance, creating new algorithms, improving state-of-the-art methods, and developing using a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights.

Play a pivotal role in shaping the future of our data platform. You’ll collaborate across engineering, product, and analytics teams to build the architecture and tooling that powers insight and action. Build and maintain scalable, modular data pipelines using tools like dbt, Azure Data Factory, etc.

Take ownership of the data models and infrastructure that power analytics across our company. This is our first dedicated data engineering hire — a high-impact opportunity to shape our semantic layer, streamline our modern data stack, and unlock self-service analytics for the entire business. You’ll be the go-to person for building a high-trust, governed data foundation that enables smarter, faster decisions.

We are seeking a passionate data enthusiast eager to grow with our team! You will participate in data collection processes, use MySQL to extract data, search and gather data from open sources, and analyze datasets using Google Sheets / Excel. You will also work with existing Python scripts and collaborate with cross-functional teams.

Design the analytics & BI strategy from the ground up and partner with product, engineering, marketing, sales, and customer success to shape how we measure success, uncover opportunities, and optimize decision-making. Establish and scale the analytics function, including hiring, mentoring, and developing a high-performing team, while driving deep understanding of user behavior.

Assist with delivering technical data support and innovative solutions for Actuarial financial data systems and Marts. You’ll Identify simple to moderate business requirements and solutions related to the support of the specific business area/function. Additionally, you will assist in preparing trend and financial data analyses to support various Plan divisions.