Top Analytics Jobs
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
As a Senior Data Scientist in Product Analytics at a leading fintech company, you will leverage data and analytics to drive informed decision-making and innovation in brokerage products. You will work on large analysis projects, develop machine learning models, design experiments, create data visualizations, and mentor team members.
The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.
The role involves collaboration across various departments to analyze reserve trends, ensuring compliance with regulations, and leading financial reporting. The individual will leverage advanced analytics, provide insights to minimize volatility in reserves, and oversee external consulting efforts.
The Predictive Analytics / AI Design Sr. Manager leads a team to develop and implement predictive models and AI solutions within the finance sector. They ensure the accuracy and relevance of predictive analytics, translate business needs into analytical projects, and drive improvements in model performance and decision-making processes. This role involves collaborating with various stakeholders and overseeing the training of end-users in using advanced analytics tools.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
The Manager of Credit Analytics at Above Lending will lead initiatives to improve loan performance and reduce credit losses. Responsibilities include analyzing credit data, developing business strategies, managing business requirements, and collaborating with cross-functional teams to enhance the underwriting process.
The Analyst in Data Analytics will conduct analyses, develop data visualizations, and prepare data for reporting. This role involves collaborating with business experts, translating complex data into understandable insights, and responding to managerial requests, all while utilizing statistical methods and technical tools.
Featured Jobs
The Senior Manager of Analytics at Lyra Health will lead a centralized analytics team, focusing on scalable reporting and insights for provider operations teams. Responsibilities include managing team contributions, collaborating on data projects to enhance analytics efficiency, and supporting team culture in a remote-first environment.
As a member of the Data Science Center of Excellence, the manager will develop statistical modeling techniques, enhance data science capabilities, guide vendors, collaborate with stakeholders, and communicate insights to ensure robust modeling outputs and informed decision-making across the business.
As an Analytics Engineer, you will work with cross-functional teams to build and maintain the data warehouse, improve data usability, quality, and reliability, and develop data quality rules and documentation.
The Associate Data Scientist will partner with various stakeholders to develop machine learning models, implement data transformation processes, and contribute to AI-powered features. Responsibilities include engaging with business requirements, supporting ML lifecycle management, and promoting best practices in data science.
The Product Line Manager Analyst will analyze data, gather business requirements, write functional specifications, and communicate with engineers to create solutions that enhance user experience with Salesforce software. The role involves using Agile methodologies and collaborating across teams to ensure effective delivery.
The Performance Analytics Consultant analyzes data trends, discovers key drivers, and communicates findings to business partners. They support underwriting strategies, monitor performance metrics, create analytic tools, and enhance partnerships by developing business insights from various data sources.
The Director of Data & Analytics will lead client projects by creating and implementing data strategies and automation processes, utilizing tools such as Python and Alteryx. Responsibilities include managing project workflows, communicating objectives to stakeholders, and delivering data-driven insights through dashboards and predictive analytics. Strong financial and analytical skills are essential for transforming client needs into actionable solutions.
The role involves building and maintaining scalable data infrastructure for talent analytics, optimizing data architecture, and ensuring data accessibility. Responsibilities include data wrangling, collaborating with data analysts, and creating models to identify trends, supporting data-driven talent decisions across the organization.
The Head of Analytics at Peerspace will lead the analytics team, develop data strategies, and drive decision-making through data insights. Responsibilities include optimizing analytics infrastructure, establishing reporting frameworks, and collaborating with cross-functional teams to enhance marketplace efficiency.
The Senior Fraud Analytics Analyst will identify fraud risk through data analysis and enable safer claim processes. They will work with large datasets, develop reports and dashboards, and collaborate with various teams to improve fraud strategies and processes.
Are you passionate about cutting-edge technology and looking to make a significant impact in the world of Graph Databases and Analytics? Join our dynamic team as a Sr. Technical Product Marketing Manager, where you will play a pivotal role in driving our go-to-market strategy and acting as the technical advocate for our innovative solutions.
The Head of Portfolio Risk Analytics will lead the team in developing and overseeing the portfolio risk analytics and monitoring frameworks, focusing on risk assessment, performance analysis, and compliance with regulations in consumer finance. Responsibilities include designing risk appetite frameworks, collaborating across functions, and implementing stress testing and sensitivity analysis.
The Data Scientist, Product Analytics at Ladder is responsible for driving quantitative analysis to inform product development and iteration. They collaborate with product, design, and engineering teams to define KPIs, conduct data analysis, and design scalable data infrastructure. The role requires 3+ years of experience in data science and a strong understanding of statistics and SQL.
The People Analytics Analyst at Meijer will analyze workforce data using SQL, Python, and PowerBI to develop predictive models and dashboards to provide actionable insights. This role involves collaborating with stakeholders, automating data processes, enhancing data literacy, and ensuring data security.
As a Data & Analytics Engineer at Rinsed, you will design data pipelines, transform point-of-sale data into insights, and create dashboards for customer use. You'll collaborate with teams to track decisions, automate internal processes, and communicate findings to stakeholders.
The AI Data Analytics Engineer 1 will collaborate with physicians to create synthetic conversation scripts, write and optimize Python code, analyze large datasets for AI model enhancement, and develop solutions for visualizing data trends in healthcare IT.
The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.
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