Top Analytics Jobs
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.
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 Lead Analytics Engineer will lead the development and optimization of data analytics frameworks, focusing on ETL processes, data modeling, and orchestration using tools like DBT, Snowflake, Airflow, and Dagster. Responsibilities include mentoring team members, managing multiple projects, collaborating with cross-functional teams, and championing best practices in data analytics.
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 Associate Principal in Quantitative Risk Management will develop and maintain risk models focused on margin, clearing funds, and stress testing. Responsibilities include model prototyping, performance testing, documentation, and collaborating with cross-functional teams to enhance and implement risk models and provide analytical support for pricing and risk calculations.
The Principal Analytics Architect will lead the Tableau function and data strategy for the Marketing Intelligence Team at Morningstar. Responsibilities include developing analytics reporting suites, collaborating with cross-functional teams, building cloud data environments, mentoring junior analysts, and optimizing Tableau dashboards to drive marketing effectiveness.
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.
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The Portfolio Chief Engineer in Data Analytics Solutions is responsible for conceptualizing, architecting, and presenting solutions to meet operational challenges. This role involves collaboration with various stakeholders to develop technology roadmaps and support new business opportunities, ensuring product delivery meets user needs.
The Portfolio Chief Engineer will lead the design and implementation of data and analytics systems, engaging with customers and end users to ensure solutions meet mission needs. Responsibilities include supporting technology roadmaps, optimizing solution designs, and assisting in capturing new business opportunities.
The Associate, Fraud Analytics will develop and implement fraud rules using data analytics, create dashboards, and analyze data to identify fraud trends. This role involves communication with stakeholders, data wrangling, model strategizing, and presenting insights to senior management.
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 Senior Scientist in Life Science and Research Analytics will leverage a multimodal database for conducting complex computational analyses to provide actionable insights affecting patient care and drug development. Responsibilities include managing projects, leading teams, communicating scientific findings to stakeholders, and enhancing research methodologies.
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.
The Staff Analyst, Digital Analytics will lead analytics projects affecting omnichannel business performance, work with stakeholders in Digital Operations and Product to solve ambiguous problems, analyze metrics, and mentor junior analysts. Responsibilities include reporting, strategic insights, and contributing to digital data strategy and A/B testing.
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 Data Analytics Program Manager will lead a team in managing data governance, quality, and security for the Navy’s Chief Information Officer. Responsibilities include overseeing data practices, implementing security policies, and ensuring data integration and interoperability solutions are aligned with mission needs.
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The Principal Decision Scientist will lead and mentor teams by providing high-impact analytics insights and solutions for clients. Responsibility includes optimizing client success with Ibotta platforms, communicating analytical results to enhance client strategies, driving internal projects, and mentoring junior colleagues.
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
The role involves solving complex problems and developing innovative solutions to support Chase's global business. The candidate will work within the Consumer & Community Banking Data & Analytics team, collaborating with various departments to enhance customer-centric insights and competitive advantages.
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