Top Hybrid Senior Level Data & Analytics Jobs
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In this role, you will lead analytics efforts for Growth teams, optimizing strategies for customer acquisition and retention. Responsibilities include managing data pipelines, conducting deep analyses, designing experiments, enhancing analytic capabilities, and overseeing Growth-related projects. Your work will drive data-driven insights that influence marketing and product investments.
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The Enterprise Architect - Machine Learning will lead the design, development, and implementation of AI solutions at Ibotta, collaborating with teams to address business problems, maintain architecture, and mentor others. The role emphasizes innovation in AI strategy, model development, and the selection of appropriate technologies while upholding ethical guidelines.
The Senior Data Scientist will drive collaboration across teams to analyze data for fraud risks, build machine learning models, and provide insights for risk mitigation. Responsibilities include data refinement, project prioritization, mentoring, and establishing best practices in data science.
The Staff Decision Scientist will lead analytics solutions and provide actionable insights for clients. Responsibilities include optimizing client success, presenting analytical results, leading complex projects, and mentoring others. The role requires a focus on data-driven insights, communication with clients, and participation in analytics community efforts.
Responsible for maintaining and enhancing the sales compensation system Xactly. The role involves ensuring accurate administration of sales compensation plans, configuring system components, collaborating with cross-functional teams, generating reports, validating data, and assisting in the design of new compensation plans while staying updated with industry trends.
The Lead, Employee Listening & Advanced Analytics at Klaviyo is responsible for implementing an employee listening strategy, analyzing survey data to derive insights, enhancing survey methodologies, and engaging with stakeholders to drive talent experience improvements.
The Senior Analyst, People Analytics at Klaviyo is responsible for designing metrics, dashboards, and reporting tools to provide insights into HR data trends. This role includes data analysis, improving data architecture, and enhancing people analytics products while collaborating with cross-functional teams to support strategic talent decisions.
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The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
The Senior Data Scientist will analyze large datasets to provide insights for the product team, design and evaluate A/B experiments, collaborate with engineers for data logging, and create data visualizations while effectively communicating findings to stakeholders.
The Senior Manager will bridge business stakeholders with data, analytics, and AI teams, managing product roadmaps, deploying data solutions, and promoting a data-driven culture across the organization. Responsibilities include monitoring KPIs to measure product success and communicating data insights to non-technical teams.
As a Senior Data Analyst at Datadog, you will support the Technical Solutions team by analyzing data, designing operational dashboards, and developing KPIs to enhance customer support. Your role involves training staff on data usage and conducting thorough data investigations.
The Senior Payroll Compliance Analyst will research payroll compliance rules, communicate changes, assist with internal testing, resolve issues, and guide product development from a regulatory perspective. The role requires collaboration with engineering teams and support for customer care advocates, all while improving processes and maintaining compliance.
The Senior Risk Analyst II analyzes applications from financial institutions in the First District, focusing on regulatory, legal, and financial aspects of mergers and acquisitions. Responsibilities include conducting analyses, documenting findings, and communicating with internal and external stakeholders, while leading projects and maintaining current knowledge of relevant laws and regulations.
As a Data Scientist, your role involves building and improving models to identify credit risk, optimize marketing spending, and predict customer churn. You'll work with structured data, create classification models, and collaborate with Product and Engineering teams.
Top hybrid Companies Hiring Data + Analytics Roles
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