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Top Analytics Jobs in Seattle, WA
The Senior Data Analyst collects, analyzes, and interprets data to enhance Hiya's security products. Responsibilities include managing data pipelines, collaborating with various teams, and creating high-quality dashboards. The role requires storytelling with data to support the company's objectives and engaging with external vendors.
The Senior Manager, Data Science Management will lead a team of Data Scientists to create Machine Learning models to enhance business growth. Responsibilities include defining model requirements, constructing predictive models, and teaching business teams how to leverage these models. The role requires effective project management and stakeholder engagement across the enterprise.
The Billing Analyst manages the billing process, ensuring invoice accuracy and financial transaction integrity. Responsibilities include analyzing billing data, monitoring payments, following up on overdue accounts, resolving discrepancies, and providing customer service for billing inquiries. This role contributes to the growth of the Accounts Receivable function within the Accounting team.
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The Product Data Analyst will focus on fraud data to drive decision-making for Remitly’s user integrity product. Responsibilities include building and managing metrics, creating data features, designing product experiments, and developing tools to aid Fraud Specialists while producing insights for product strategy.
The Senior Data Scientist will focus on building machine learning models, specifically in performance marketing. Responsibilities include developing personalization models, optimizing algorithms, and collaborating across teams to enhance data science initiatives. The role is hands-on, requiring direct involvement in data implementation and machine learning solutions.
The Data Analyst for Growth Strategy & Analytics at Lyft will manage experimentation, dashboarding, and strategy for key acquisition levers to drive business growth. Responsibilities include proposing and analyzing growth experiments, developing dashboards to monitor performance, and presenting insights to stakeholders.
The Director of BI Analytics Engineering & Data Governance will lead the analytics engineering team to enhance data accessibility and governance. Responsibilities include managing cross-functional projects, fostering data democratization, productizing data, and collaborating with stakeholders. This role involves strategic leadership, program management, and promoting data literacy throughout the organization.
As a Data Scientist at Stackline, you will develop Machine Learning solutions, analyze large datasets, provide insights, collaborate with cross-functional teams, and design innovative models to drive growth. You will work hands-on with data pipelines and implement quality control procedures.
The Mixed Method Researcher will drive research and UX practices focusing on diversity and inclusion, build impactful research plans, analyze quantitative and qualitative data, and provide actionable insights to inform product decisions. Collaboration with designers, product managers, and engineers is key throughout the product life cycle.
The Senior Total Rewards Analyst will develop and manage global compensation and benefits programs, ensuring they align with the company's strategy. Responsibilities include conducting market analysis, administering compensation reviews, and designing benefits programs to enhance employee experience and attract talent.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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