Top Analytics Jobs
As a Staff Software Engineer, you will develop scalable data storage and processing systems, mentor engineers, shape product strategy, and ensure high-quality engineering processes. Key responsibilities include architecting large-scale systems and optimizing data pipelines for efficiency and performance.
The Coordinator, Sourcing & Analytics will assist in the procurement of supplies and services while providing data analysis and insights to improve operations and support strategic decisions. Responsibilities include utilizing data analytics, maintaining supplier relationships, and managing inventory levels while ensuring compliance with standards.
As an Associate Scientist or Scientist in Analytics at Helaina, you will develop analytical methods for infant formula ingredients and products. Your responsibilities include performing physicochemical analysis, supporting R&D in recombinant proteins, operating major analytical equipment, and presenting data. This role emphasizes a hands-on approach and working in a dynamic startup environment.
The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.
As the Data & Analytics Lead, you will develop and implement data strategies, manage data governance, oversee data quality, and ensure the integrity and proper management of data systems. You will work collaboratively with internal teams and external providers to facilitate seamless data integration and drive business insights.
The Category Analytics & Capabilities Manager is responsible for developing tools and resources to enhance category insights and drive sales performance, particularly in retail and Walmart. This role involves synthesizing complex analytics, leading projects for analytics capabilities, and collaborating across teams to optimize category and space performance.
The Senior Manager of Analytics & Automation will lead the analytics team to develop the enterprise data & analytics platform using SAP, Nielsen, and customer POS data. Responsibilities include overseeing data integration, ensuring data accuracy, and leading advanced analytics initiatives to drive strategic decision-making and business growth while collaborating with cross-functional teams.
As a Lead People Solutions Analyst, you will create and deliver reporting and analytical solutions for HR, focusing on data visualization and insights. You'll engage with HR to provide guidance on metrics and help design automated reporting, requiring a strong understanding of data architecture.
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As a Senior Data Scientist at Discord, you'll partner with teams to analyze and improve user experience through data analytics, A/B testing, and building dashboards. You'll define key metrics, communicate findings to diverse audiences, and collaborate with technical teams to design effective data solutions.
The Data & Analytics Engineer will develop scalable data pipelines, create data visualizations, and implement reporting infrastructure to support business decision-making, utilizing tools such as Snowflake, Tableau, and Python while thriving in a fast-paced environment.
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The Senior BI Engineer will develop and optimize data pipelines and dashboards for People Analytics at Coinbase, working with various teams to improve data collection and facilitate informed decision-making.
The Senior Analytics Engineer at Druva will develop data models, reports, dashboards, and Data Apps, facilitating decision intelligence and a data-driven culture. Responsibilities include managing data requests, maintaining analytic databases, ensuring data quality, and collaborating across teams to provide actionable insights.
The Senior Analyst, Marketing Analytics and Insights manages media budgets and ROI for digital marketing programs, optimizing spending across various platforms. Responsibilities include risk assessment, performance reporting, and collaboration within cross-functional teams to create media campaigns. The role involves ad-hoc analyses and strategic planning for marketing efforts.
Drive the Financial Crimes Program by utilizing data analytics and visualization tools to enhance fraud detection, economic sanctions, and money laundering efforts. Lead the design and implementation of data solutions, collaborate with stakeholders, and ensure data accuracy and compliance in reporting mechanisms.
As an Analytics Engineer, you will create and optimize data models, work with product and engineering teams to ensure accurate data generation, collaborate with stakeholders on project timelines, and improve data processes using various analytics tools.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.
As a Staff Analytics Engineer, you will design and build data pipelines and infrastructure to enhance operational performance. Collaborating with data scientists and engineers, you'll ensure clean, accessible data and contribute to data strategy focusing on quality and governance. Mentor junior team members and optimize data systems for business operations.
The Senior Analytics Engineer is responsible for maintaining system security and implementing measures to protect data. They develop cybersecurity strategies, conduct vulnerability tests, respond to incidents, and collaborate with departments on fault troubleshooting. This role also requires generating reports, planning security upgrades, and identifying threats using user behavior analysis.
The Lead Insights & Analytics Manager is responsible for developing lifecycle data capabilities, collaborating with teams to enhance data-driven decision-making, conducting complex analyses to uncover insights, constructing forecasts, and overseeing report specifications based on business needs.
As a Performance Analytics Analyst, you will develop client reports based on media metrics, aggregate data on campaign performance, and ensure high-quality reporting. Collaborating with teams, you will conduct internal analysis and create ad hoc reports using various analytics platforms. The role requires managing tight deadlines while delivering key insights to optimize campaigns effectively.
The Senior Analyst will manage U.S. GAAP financial data for KBRA Analytics, ensuring data quality and accuracy. Responsibilities include extracting and standardizing XBRL data, performing data quality assurance, collaborating with teams, and enhancing data products through automation.
Ketchum is seeking an Associate Managing Consultant in Analytics to develop client relationships, manage research projects, and provide data-driven insights. The role involves overseeing qualitative and quantitative research studies, analyzing data, presenting findings to clients, and collaborating with specialized teams to create impactful solutions.
The Senior Manager of Revenue Analytics will provide analytical and operational support to the commercial teams, identify revenue opportunities, build complex financial models, support contract negotiations, and manage projects involving multiple stakeholders, including managing a Revenue Analytics Analyst.
The Head of Compliance Data Analytics will lead the data analytics strategy for global compliance, oversee the development of compliance controls, analyze user and transaction data to identify risks, and manage cross-functional projects to enhance transaction monitoring using advanced technologies.
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