Top Analytics Jobs
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 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.
Featured Jobs
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.
The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.
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.
The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.
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.
As a Senior Analytics Engineer, you will model data, consolidate sources, and provide actionable insights to stakeholders. You will leverage tools like SQL, DBT, and Snowflake, along with best practices for data quality and performance. Your role will involve leading data documentation efforts and translating business requirements into data solutions.
The Analyst will work with Senior Executives and teams across Business Development, Finance, and Marketing, conducting extensive data analysis, particularly using SQL. Responsibilities include writing complex SQL scripts, analyzing user and platform trends, supporting licensing negotiations, and communicating findings effectively to various audiences.
Key role in quantifying and communicating the value of Included Health to clients, translating data into actionable insights, collaborating with teams, and developing data models and analyses.
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