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The Senior Process Automation Analyst will gather business process requirements, analyze and document processes, propose automation solutions based on Lean Six Sigma principles, and design end-to-end processes. The role involves collaborating with stakeholders, creating process documentation, and managing project activities related to automation initiatives.
The People Analytics Solutions Lead is responsible for leading technical solutions in HR data engineering, analytics, and architecture. This includes managing the data environment using Databricks, developing data models, implementing analytics solutions, and managing governance frameworks for data quality and security. The role also involves strategic partnerships with stakeholders and requires strong leadership in data transformation and analytics strategy for HR.
The role involves leading a technical solutions team for HR data engineering, architecture, and analytics. Responsibilities include developing analytics solutions, managing data platforms like Databricks, and enhancing data visualizations to support strategic HR initiatives. The leader will also serve as a technical advisor for complex data analysis.
As a Senior Analytics Engineer, you will create and maintain data marts for various business domains, ensuring data quality and integrity. You will collaborate with cross-functional teams to enhance data accessibility and perform exploratory data analysis while developing impactful reports and dashboards for stakeholders.
The Manager of Data Strategy & Privacy will lead data strategy initiatives to support business objectives, applying advanced data analytics to inform decision-making. This role includes developing data governance policies, collaborating with cross-functional teams, and staying updated on regulatory changes to enhance user experience and optimize performance.
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The role involves negotiating partnerships for data access with payroll companies and gig platforms, creating strategies to maximize provider coverage, collaborating with product teams for market introductions, establishing success metrics, and building relationships within the partner ecosystem.
The Securities Data Management Analyst will provide expertise on bank loan process flows and investment data integrity, supporting data requests and collaborating with various teams and external partners. Responsibilities include data validation, implementation of new data feeds, root cause analysis, and regulatory project representation.
In this role, you will lead the employee listening strategy and conduct advanced analytics to drive strategic insights for improving employee engagement at Klaviyo. You will analyze qualitative and quantitative data, manage survey operations, and translate findings into actionable recommendations for business leaders.
As a Senior Data Engineer at Klaviyo, you'll develop and maintain key data environments, build models for predictive analytics, collaborate with various teams, and ensure robust data infrastructure focusing on security and scalability.
The Lead Security Risk Analyst will advance Klaviyo's Risk function by implementing and managing security risk assessment programs, collaborating with various teams to communicate and mitigate risks. The role involves developing security metrics and advising on secure product development while promoting a culture of transparency and evidence-based risk management throughout the organization.
As a Senior Research Scientist at Kensho, you'll develop advanced NLP models, engage with dense data, and collaborate closely with teams. Responsibilities include reading research papers, coding in PyTorch, and sharing findings through presentations and publications, while contributing to a thriving engineering culture.
As the Analytics Manager for Growth & Marketing, you will develop user acquisition strategies, collaborate across teams to enhance user engagement, create executive-level performance narratives, and mentor a direct report. Your role focuses on data-driven decision-making to optimize marketing efforts and improve retention rates for a financial health company.
As a Strategic Analytics Vice President at JPMorgan Chase, you will lead a team to conduct risk analysis, develop analytics recommendations, implement operational controls, and optimize risk strategies using statistical tools. You'll collaborate with various teams and present findings to Senior Management while ensuring quality and governance in the risk strategies.
The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.
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