Top Data & Analytics Jobs in Denver & Boulder, CO
The Security Governance Partner for Cash App Machine Learning and Data Science works directly with the teams that build Cash App's machine learning pipelines and infrastructure to ensure security and compliance standards are met. Responsibilities include collaborating with various teams, automating governance functions, evaluating security properties, and driving risk decisions.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor model performance, stay updated on machine learning advancements, and present reports to stakeholders.
Responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. Leading improvements of existing data solutions and development of new solutions to address business requirements.
Carrot is seeking a Senior Sales Compensation Analyst to oversee and manage the commission process, calculate and process commission payments, analyze sales data, and make recommendations to optimize commission structures. The role requires strong analytical skills, proficiency in spreadsheet software, Salesforce reporting, and knowledge of commission calculation methodologies.
Business Intelligence Analyst role at Carrot Fertility, responsible for designing data models, building dashboards, conducting analysis, and collaborating with teams. Join a cross-functional Business Intelligence team.
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Security Research Analyst responsible for reviewing and maintaining threat data, collaborating with data scientists, and implementing security measures at Cloudflare. This role involves identifying security threats, building machine learning models, and providing expertise to internal teams on security data.
The CX Data & Insights Team Leader at Gusto is responsible for driving strategy and building scalable processes to continuously improve the CX employee and customer experience. They lead the strategic direction for Engagement Data & Insights workstreams, prioritize key analytics projects, and provide quantitative insights to inform growth opportunities and CX roadmaps.
The Contract Analyst is responsible for drafting and managing contracts. They collaborate with multiple departments to ensure accurate and efficient processing of contracts. The key responsibilities include drafting contract documents, gathering business and technical requirements, managing the deal review process, and maintaining high levels of contract accuracy. The required skills include working collaboratively, self-direction, proficiency in Microsoft Word and Excel, strong communication and critical thinking skills, and experience with software workflow applications and Salesforce.com. The minimum education requirement is a bachelor's degree, and a minimum of 3 years of experience in contracts management or a similar role. The compensation range for this role is $63,000-$78,000 per year.
As a FinOps Analyst at Datadog, you will identify and optimize cloud spend, partner with engineering teams, build cost models, and provide meaningful insights about cloud usage. You will work on cost reporting, forecasting, business insights, and reservation management.
As a Sr. Machine Learning Engineer, you will be central to the continued development of our ML strategy while owning and designing scalable MLOps solutions to enable that strategy.
The Senior Data Integration Consultant interfaces with customers' functional teams to understand the data and automation needs required to achieve a connected reporting experience. The role is responsible for the design and delivery of the Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, and Data Prep.
As a Staff Data Engineer at Square Banking, you will design large-scale data processing systems, build core datasets, address data quality issues, and collaborate with cross-functional teams to accelerate decision-making processes. This role involves working with real-time Big Data technologies and promoting software engineering best practices in a financial data context.
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