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Top Analysis Reporting Jobs in Seattle, WA
The Bonus Analyst at Trupanion will develop, implement, and maintain bonus models while ensuring accurate calculations and timely payments. Responsibilities include monitoring bonus plan effectiveness, conducting audits, and communicating bonus programs to employees. Requires strong analytical skills and attention to detail.
As a Product Growth Analyst at PandaDoc, you will analyze user acquisition trends, define KPIs, create reports and dashboards, conduct A/B testing, and collaborate with product managers and stakeholders to optimize growth initiatives. You’ll utilize proficiency in data analysis tools and statistical methods to uncover insights that drive business decisions.
The Sr. Financial Data Analyst will leverage analytical skills to analyze financial data, create metrics and visualizations, and collaborate with various teams to support data-driven decision-making. The role involves improving business performance through data analysis, maintaining data integrity, and influencing C-level executives with actionable insights.
The FLDP Analyst will participate in a Finance Leadership Development Program, gaining experience through two distinct one-year assignments within the Finance function. Responsibilities include leading projects and process improvements, building financial knowledge, and developing leadership skills by collaborating with business leaders.
The Compliance Analyst (Privacy) will support the DHS by managing and enforcing compliance with privacy laws. Key responsibilities include drafting compliance documents, developing privacy policies, training staff, and identifying risks to enhance existing compliance programs.
The Senior Financial Analyst at Braviant will manage financial reporting and forecasting processes, analyze business performance, create SQL queries for data analysis, and support financial modeling for strategic decisions. The ideal candidate must demonstrate strong data querying skills and financial modeling experience.
The Senior Cyber Risk Management Engineer will execute engagements centered on recognized cybersecurity frameworks, assess governance and compliance programs, develop methodologies to enhance client security postures, and prepare reports for executives. The role also involves staying updated on industry trends and collaborating with offensive security teams to enhance clients' security strategies.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.
The Senior Analyst will conduct pre-press and print production work, prepare design files for garment printing, collaborate with product development, and create production files based on team designs in InDesign.
The Associate Director, Aggregate Report Scientist manages the production of Aggregate Safety Reports, oversees quality compliance with global pharmacovigilance regulations, and collaborates with stakeholders. They identify process improvements and mentor staff, ensuring high-quality outputs and adherence to safety requirements.
The Applied Scientist will apply advancements in AI technologies such as LLMs, CV, and NLP within the estate planning sector. Responsibilities include fine-tuning and integrating AI models, building Q&A frameworks, and collaborating with engineers to enhance AI quality in production systems.
As a Principal Threat Researcher at Palo Alto Networks, you will assess cyber threats, track malicious actors, and provide actionable intelligence. You will collaborate with a global team to analyze threats, utilizing datasets and developing assessments while improving detection capabilities within the product ecosystem.
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