Top Remote Analytics Jobs
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.
As a Cloud Data & Analytics Manager, you'll lead teams to analyze complex business issues and develop cloud data strategies for clients. Responsibilities include managing stakeholder expectations, coaching team members, simplifying communication, and using data insights for decision-making while ensuring ethical conduct and effective team performance.
As a Cloud Data & Analytics Manager, you will help organizations utilize data analytics to drive business results and innovation. Your focus will be on aligning data strategies with business strategies, assisting clients with platform selection, defining data needs, and migrating to modern cloud environments using leading cloud providers. You will also manage a team, resolve issues, and provide insights to inform decision-making through data analysis.
As a Cloud Data & Analytics Manager, you'll guide organizations in leveraging data analytics to drive insights and business results, focusing on modern cloud environments and data strategies. You'll manage client projects, mentor team members, and utilize cloud platforms for data architecture and integration, aiming to enhance client decision-making and operational efficiency.
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The Cloud Data & Analytics Manager will lead teams in aligning client data strategies with their business goals, leveraging cloud technologies for data management and analytics, and implementing cloud data architectures to improve business outcomes and drive innovation.
As a Cloud Data & Analytics Manager, you will support organisations in harnessing data analytics to foster business innovation and growth. Key tasks include aligning client data strategies, managing data migrations to cloud platforms, and ensuring effective team operations while resolving complex business issues from strategy to execution.
The Manager, Risk Analytics oversees fraud loss monitoring and mitigation, collaborates with various teams on data analysis, and leads fraud strategy implementation. Responsibilities include managing a team of analysts, monitoring KPIs, and driving projects for fraud prevention and control improvements.
The Senior User Experience and Analytics Lead will design user experiences for Risk Ripple Analytics. Responsibilities include producing wireframes, optimizing user experiences, analyzing engagement metrics, and applying design thinking to enhance the product. The role involves collaboration with stakeholders and engineering, as well as conducting user research to inform design improvements.
The Data Analytics Engineer will support reporting and analytics by exploring data, ensuring quality models, collaborating with teams, and maintaining the data warehouse. Responsibilities include developing documentation and enhancing business outcomes through data-driven insights.
Lead Data Scientist at Movable Ink working on testing and optimizing the DaVinci Personalization product, running a/b tests, conducting deep dives into data, and driving improvements to the working model and process.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
As a Senior Analytics Engineer at Forward Financing, you'll design and maintain data models, collaborate with various teams to enhance analytics platforms, ensure data quality, and integrate third-party data sources to support business decisions.
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
As a Staff Analyst on the Personal Loans team, you will analyze and optimize the Personal Loans product through data insights and collaboration with cross-functional teams. Responsibilities include setting product strategy, conducting quantitative analyses, developing analytical frameworks, and mentoring fellow analysts.
The VP, Customer Insights and Analytics will lead strategic projects to leverage customer data and insights to enhance marketing effectiveness. Responsibilities include directing the insights team in market research, evolving the operating model, and developing methodologies for quantitative and qualitative research to drive marketing strategies.
As an Analytics Engineer, you will create and manage reliable datasets, establish new data sources, improve the data platform's performance, and collaborate with team members to support inclusive engineering practices. You'll also contribute to technical discussions and promote a positive team culture.
As a Staff Data Analyst, you will analyze loan credit and financial performance, build financial models, and develop data pipelines to enhance decision-making within Upstart's investor and lending communities. You will collaborate with various teams and mentor junior team members to promote data-driven approaches.
The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property
As an Analytics Engineer at InStride, you will design and optimize dimensional data models in Databricks, ingest data from various sources using SQL and Python, and build Tableau dashboards for business insights. You will collaborate with teams to define key metrics and optimize ETL processes for performance, while maintaining documentation and adhering to best data practices.
Looking for an experienced Manager of Audit Analytics to contribute to the ongoing development of the Internal Audit function by implementing Continuous Auditing and Data Analytics capabilities.
Join Affirm's Quantitative Markets team to structure debt funding deals, develop funding strategies, and build models for loan performance analysis. Collaborate with cross-functional teams for optimal funding strategies and business decisions.
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