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The Client Operations Analyst will support the operations of the department by managing resource planning, optimizing processes, and handling data analytics. Responsibilities include project resourcing, capacity planning using Salesforce data, documentation and training, monitoring KPIs, and collaborating with various teams for operational improvements.
The Compliance Analyst develops policies, conducts audits, implements compliance procedures, and manages risk assessments while ensuring adherence to regulations. Responsibilities include employee training, regulatory documentation, and managing compliance checks on IT systems. The ideal candidate has a strong compliance background and excellent communication skills.
The Senior Data Scientist at Canoe Intelligence will analyze complex datasets related to private markets, develop data models, create visualizations, and collaborate with teams on data-driven products. The role also involves writing reports and extracting insights from unstructured data, requiring expertise in SQL and Python, alongside strong statistical and machine learning knowledge.
The Senior Associate will oversee clinical data management, ensuring accurate and timely data reaches clinical teams. Responsibilities include data preparation and validation, leading technical initiatives, and collaborating to create data capture solutions. Expertise in relational databases and clinical data standards is critical.
This laboratory-based position involves developing analytical assays to support early vaccine development, performing sample testing, analyzing data, documenting experiments, and contributing to technical documents. The candidate will support laboratory operations and stay current with scientific literature.
The Associate Scientist will support analytical assay development for vaccine research, perform sample testing, analyze and document data, and assist in authoring technical reports. Responsibilities include working with various analytical techniques and maintaining detailed records of experiments and outcomes.
The Senior Analyst will support data-driven business intelligence efforts, conduct revenue analysis, develop pricing models, create actionable insights through dashboards, and foster relationships with key business partners.
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As a Senior Analytics Engineer II, you'll transform raw data into structured datasets, manage data ingestion workflows using Fivetran, and design data pipelines in Snowflake. You'll also implement data validation best practices and ensure compliance with security regulations while collaborating with teams across consumer analytics, marketing, and product management.
The role involves developing and negotiating partnerships with payroll companies and gig platforms, creating a strategy for data access, collaborating with the product team, establishing success metrics, and building relationships with stakeholders within the partner ecosystem.
As a Data Scientist in Product, you will collaborate with engineering and product teams to leverage data for impactful product decisions. You'll analyze user interactions, design experiments, build predictive models, and create dashboards to monitor key metrics, influencing product development for Notion.
The Data Engineer II will develop and maintain ad-tech data systems, focusing on data streaming, processing, and ETL/ELT pipelines. Involved in all software development lifecycle stages, they will build cloud-based data pipelines, collaborate with engineering and business teams, and ensure the integration and delivery of system components.
As the Director of Measurement, you will solidify and expand measurement capabilities to optimize client media performance, address measurement questions creatively, guide measurement efforts, and shape effective measurement approaches to enhance client engagement and insights delivery.
As a Senior Data Engineer at adMarketplace, you will design and implement large-scale data systems using Python, build cloud-based data pipelines, and collaborate with cross-functional teams to transform business requirements into technical solutions. You'll be engaged in the entire software development lifecycle, focusing on data streaming, ETL processes, and maintaining low-latency systems.
The Data Engineer will build and maintain data pipelines for analytics across various business functions. Responsibilities include understanding data interactions, collaborating on best practices, and implementing ingestion pipelines using tools like Apache Spark and Hudi.
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The Senior Global Equity Analyst will manage the day-to-day operations of Braze's equity compensation programs, assist with equity awards, collaborate with various teams, ensure compliance with SEC filings, and engage employees regarding equity matters.
The Senior Analyst Relations Manager at Braze will build and maintain relationships with key industry analysts in multichannel marketing, educate them on Braze's business and solutions, and drive positive coverage. Responsibilities include managing industry evaluations, synthesizing analyst research, and collaborating with internal teams for marketing initiatives and insights sharing.
The Director of People Analytics will lead a team to deliver insights on employee lifecycle metrics. Responsibilities include developing analytics strategies, sourcing data from various platforms, creating narratives that influence business decisions, and enhancing reporting capabilities, all while mentoring analysts throughout the process.
The Senior Business Systems Analyst at Datadog will optimize SaaS systems by ensuring governance, participation in vendor selection, and collaboration with stakeholders. They will assess spending, identify gaps in the SaaS portfolio, and stay updated on emerging technologies to innovate Datadog's offerings.
As a Staff Engineer at Datadog, you will enhance the Data & Analytics platform by driving intricate projects, making technical infrastructure decisions, and guiding other engineers. Your role involves collaborating with cross-functional teams and addressing system risks for effective data ingestion, processing, storage, and querying.
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