Top Remote Senior Level Analytics Jobs in Dallas, TX

As a Manager on the Revenue Analytics team at Affirm, you will support a Revenue segment to drive growth strategy, optimize decision-making, and lead analytics solutions. Responsibilities include acting as a strategic partner, owning comprehensive analytics solutions, and scaling impact through data analysis and process optimization.

As the Lead Data Analyst, you'll collaborate with various teams to analyze data, uncover trends, automate reporting, and provide actionable insights to drive business growth for small businesses. You'll be responsible for enhancing data collection practices and effectively communicating insights to non-technical stakeholders.

As a Staff Data Engineer, you will design and implement scalable data solutions, optimize data infrastructure, and support BI product development. You will collaborate with stakeholders for project alignment and success while managing data workflows and governance tools.

As the Data Analytics Manager at Thrive Market, you will lead the analytics function to drive measurable business impact through strategic analysis and data-driven decision-making. You'll build and mentor a team, create analytical frameworks, oversee complex analyses, and champion a data-first culture across the organization.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

The Senior People Technology Analyst will be responsible for the implementation and maintenance of Workday and other People Systems. They will manage system configurations, provide end-user support, analyze data, and conduct training sessions while continuously seeking opportunities for process improvement.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.