Top Remote Analytics Jobs

As a Staff Analyst in Credit Analytics at Upstart, you will lead efforts in credit performance analysis and contribute to underwriting frameworks. Your role involves building predictive models, conducting deep credit data analyses, and collaborating with various teams to shape credit metrics and narratives for decision-making.

As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, collaborate with finance and data analysts to define business metrics, ensure data quality and consistency, and create documentation to enhance data access for teams.

The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.

As a Senior Principal Data Scientist, you will work with the People Insights team at Atlassian to analyze and provide insights on strategic and operational issues, collaborate with various stakeholders, and lead projects that impact business strategy and performance, all while mentoring team members.

As a Manager, Data Analytics, you will lead the development of a data analytics team at Ontra, translating business challenges into metrics, driving actionable insights, and coaching the team in delivering high-impact solutions. This role requires problem-solving skills, resilience, and the ability to foster a data-driven culture within the organization.

The Senior Analyst in Marketing Science & Analytics will enhance marketing measurement systems and provide actionable insights through data analysis. Responsibilities include managing attribution models, collaborating with cross-functional teams, analyzing marketing metrics, maintaining dashboards, and contributing to deep-dive analyses.

Lead Analytics Consultant role at Bounteous x Accolite focusing on strategizing and implementing Adobe Analytics and Customer Journey Analytics solutions. Responsibilities include leading project teams, providing training, ensuring client satisfaction, and contributing to the community. Preferred qualifications include agency experience, expertise in Adobe Analytics, Adobe Tags, and Adobe Customer Journey Analytics, and certifications in Adobe products.

As a Senior Analyst at Chainlink Labs, you will optimize sales operations through data analytics. Responsibilities include designing Salesforce and Tableau dashboards, automating workflows, integrating new data sources, and collaborating with teams to enhance CRM efficiency. You will analyze complex datasets to inform sales strategies and drive productivity.

The Senior Associate in Deals Tech & Data Solutions will utilize advanced analytics techniques to extract insights from large datasets, support clients in solving complex business problems, mentor junior team members, communicate effectively with business partners, and analyze complex issues to provide actionable insights.

The Deals Tech & Data Solutions Manager will lead teams in technology-driven solutions for mergers and acquisitions, leveraging data insights, and effectively managing client engagements. Responsibilities include supervising teams, maintaining quality deliverables, and communicating with both technical and business stakeholders.

The Associate role involves contributing to client engagements, managing stakeholder expectations, and developing skills in business consulting. You will utilize advanced analytics techniques to extract insights from large datasets and support clients in optimizing operations. The role emphasizes learning, collaboration, and delivering quality work to drive value for clients.

In this role, you will help organizations leverage data analytics for improved business results, focusing on aligning client data strategies with business strategies. You'll assist clients in selecting cloud platforms and migrating their data needs to modern cloud environments, while also leading a team to solve complex business issues and navigate various stakeholder needs.

As a Cloud Data & Analytics Manager, you will assist clients in aligning their data strategies with business objectives and migrating them to a modern cloud environment using platforms such as Azure, AWS, and Google Cloud. You will analyze complex business issues, coach team members, and help to drive innovation through data insights.

As a Cloud Data & Analytics Manager, you will help clients align their data strategies with business goals, migrate to modern cloud environments, and leverage data analytics to drive business results. Key responsibilities include resolving team issues, coaching others, and making informed decisions based on data insights, while managing stakeholder views and ensuring compliance with firm standards.

As a Cloud Data & Analytics Manager, you will help clients align their data strategies to business objectives, select platforms, define data requirements, and migrate to modern cloud data environments. You will also manage team performance and facilitate problem solving while utilizing insights for strategic decisions.

The Cloud Data & Analytics Manager will lead data strategy alignment with business objectives, assist clients in cloud platform selection, and migrate their data environments. Responsibilities include coaching team members, resolving issues, analyzing proposals, and making recommendations to enhance decision-making through data insights.

As a Cloud Data & Analytics Manager at PwC, you will help organisations uncover insights using smart data analytics, focus on data management and assurance, align client data strategies with business goals, and migrate data to modern cloud environments. Responsibilities include developing new skills, resolving team issues, coaching others, analysing complex ideas, and simplifying messages. Minimum qualifications include a Bachelor's degree and 7 years of experience with certifications in cloud platforms. Preferred skills include proficiency with cloud data architectures, engineering, and integration patterns across AWS, Azure, GCP, and Snowflake.