Top Data & Analytics Jobs
The Senior Product Analyst role at Freddie Mac focuses on using data and analytics to support product management for a Pricing Manager Application. The position involves understanding business strategies, prioritizing product backlogs, conducting analysis, and collaborating with teams to enhance customer-focused design and operational efficiency.
The Director, Insights & Analytics leads the development of data-driven market insights for decision making. Responsibilities include market research, competitive intelligence, and analytics that support commercialization strategies. This role involves collaborating with various functions, presenting insights to leadership, developing advanced analytics models, and leading a team of insights professionals.
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.
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 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.
Featured Jobs
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.
As a Business Intelligence & Data Analytics Intern at Tanium, you'll analyze key metrics and leverage data from sources like Salesforce and SQL to support business growth. You'll present findings to management, develop predictive models, and build insightful dashboards, all while gaining hands-on experience in an interdisciplinary team environment.
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 role involves using data analytics and machine learning to extract insights from data at a bank, improving efficiency and innovation. Responsibilities include data extraction, cleaning, developing data pipelines, conducting statistical analyses, and collaborating with stakeholders to add value from data.
In this internship with Little Caesars' Data and Analytics team, you will support and improve production management models, investigate variables for accuracy, and document code development. This 13-week program includes mentorship, collaboration on data initiatives, and culminates in a presentation to senior leadership about your findings and projects.
As a Cloud Data & Analytics Architect, you will lead the design and implementation of Azure solutions, mentor teams, drive business development, and maintain client relationships while collaborating on technical solutions and best practices.
The Manager of Data & Analytics will supervise a team, manage data infrastructure, develop data models, and ensure data governance. Responsibilities include partnering with stakeholders for strategic data reporting and supporting data-driven initiatives. They will also coach junior team members and ensure compliance with global data regulations.
As a Cloud Data & Analytics Architect, you will collaborate with clients to design and implement Microsoft Azure solutions, lead feasibility assessments, develop proposals, and mentor teams in cloud data and analytics deployment. You will also engage in business development and maintain client relations.
The role involves supporting the Analytics & Product team at Live Nation by enhancing data products, debugging SQL queries, exploring trends within datasets, and participating in product design. The candidate will help analyze data to improve brand campaigns and ensure data quality for various business solutions.
The Data Analytics Manager leads the data analytics team, responsible for defining the data analytics vision, architecture, and implementing data pipelines. This role involves deriving actionable insights from complex datasets, ensuring data quality and reliability, and collaborating with cross-functional teams to inform strategic business decisions.
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
As a Revenue Cycle Analyst, you will analyze large datasets to identify trends and improve the revenue cycle process. You will work on denied claims, track revenue cycle performance metrics, and provide data-driven insights to enhance efficiency and reimbursement. You will also conduct ad hoc data analyses to support decision-making and process changes.
The role involves managing client projects, developing data strategies, creating automation processes, and designing visualizations and predictive analytics tools to meet client business objectives. Effective communication, project management, and a strong background in finance are essential for success in transforming data into actionable insights.
As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.
As a Consultant in Data and Analytics, you will create and implement processes and tools to help clients leverage data effectively. Responsibilities include translating data into actionable insights, managing client projects, and collaborating with stakeholders to drive business transformation using analytics tools.
The Manager Advanced Analytics supervises a team of analysts focused on organizational population health reporting and data projects. Responsibilities include managing reporting systems, providing measurement expertise, developing team capabilities, and handling human resources tasks. The role also involves budget management and ensuring compliance with ethical standards.
The Associate Manager of Data & Analytics will create analytics applications to analyze music consumption trends, develop ETL processes, and maintain software for data teams. Responsibilities include collecting data from global databases, generating code for data acquisition, creating documentation, and collaborating with engineering teams.
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