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Top Data & Analytics Jobs in Tucson, AZ
The Analytics Engineer at Toast will be responsible for developing the Analytics layer in the data warehouse using dbt, defining business logic via SQL, collaborating with teams on data needs, and mentoring others. The role involves improving data accessibility for stakeholders and ensuring scalability across the BI platform.
The Senior Analyst will deliver financial insights and analyses for the Go-To-Market function, supporting strategic decision-making and collaboration across teams. Responsibilities include developing financial models using SQL, producing forecasts, and presenting actionable insights to leadership while analyzing performance for continuous improvement.
The Senior Data Scientist will collaborate with engineering and product teams to analyze user behavior and drive business growth. This includes developing customer segmentation strategies, conducting exploratory analysis, creating automated dashboards, and monitoring experiments to optimize revenue and user experience.
As a Senior Data Engineer, you will lead data migration to Databricks, develop scalable data pipelines, ensure data quality, and collaborate with teams on data governance and metrics. You'll troubleshoot data issues, innovate solutions, and manage SLAs for high-priority datasets, applying Agile methodologies throughout.
The People Analytics Manager at Dropbox is responsible for leading the development of HR and Recruiting dashboards, translating complex data insights into user-friendly tools. The role involves overseeing a team, enhancing current dashboard capabilities, ensuring data quality, and collaborating with business teams to meet their needs. Additionally, the manager will mentor team members and advocate for best practices in People Analytics.
As the Lead Data Analyst at AWeber, you will collaborate with various teams to provide actionable insights from complex data, automate reporting processes, and enhance data visualization. Your role involves analyzing data trends, presenting findings to stakeholders, and helping to drive business growth. You'll thrive in a remote environment while being proactive and passionate about data-driven improvements.
As a Lead Data Analyst, you will work directly with multiple teams to perform deep data analysis, derive actionable insights, automate reporting processes, and enhance dashboard visualizations. Your role involves collaborating with stakeholders across departments to support their data needs and drive business growth.
As the Lead Data Analyst at AWeber, you will analyze data to provide insights that drive business decisions across various teams. Responsibilities include collaborating with stakeholders, conducting thorough data analysis, automating reporting processes, and improving data visualizations.
Featured Jobs
As a Senior Web Analyst, you will analyze and interpret web data to drive strategic decisions, enhance user experience, and optimize website performance. Responsibilities include analytics implementation, data analysis, reporting, conversion rate optimization, and collaboration with cross-functional teams.
As a Co-op Operations Data Analyst, you will design data collection systems, create visualizations, conduct analysis for budgeting and forecasting, and present findings to support strategic decision-making. You will collaborate with cross-functional teams to ensure data quality and enhance accessibility across the organization.
As a Senior Data Engineer/Scientist, you will design and maintain data pipelines, build data structures, and collaborate with data scientists and analysts. Responsibilities include data manipulation using SQL and Python, building analytical models, and integrating external datasets. You'll impact various industries by delivering quality analytic products based on data-driven decisions.
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
The Senior Staff Scientist at IonQ will lead the development of quantum AI solutions, conduct research to discover new algorithms, and optimize hybrid applications on quantum computers. The role involves collaboration with PhD scientists and various teams while shaping long-term strategies for quantum AI application deployment.
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The Senior Data Scientist will partner with the Commercial Strategy team to conduct quantitative analyses, implement and evaluate A/B tests, generate insights through reports and visualizations, and improve operational processes. This role involves collaborating with various teams to guide strategic decisions and enhance Thumbtack's data-driven culture.
The Senior Machine Learning Engineer will design and maintain ML infrastructure, develop and deploy machine learning models, monitor performance, collaborate with teams, and mentor junior engineers at Kikoff, a consumer fintech startup focused on credit-building solutions.
The Compensation Analyst will support the Total Rewards team by participating in compensation surveys, analyzing market data, auditing compensation databases, developing compensation models, and assisting with the administration of compensation policies and cycles. The role involves collaboration with various teams to ensure fair and competitive compensation practices.
The Compensation Analyst will participate in compensation surveys, audit and enhance compensation databases, support ad hoc data analysis, develop compensation models, assist in compensation policy implementation, and administer compensation cycles, working closely with recruiters and the People Operations team.
The Compensation Analyst will enhance and maintain compensation databases, analyze market data, develop compensation models, and partner with recruiters to create competitive compensation offers. Additionally, they will aid in compensation policy implementation and communication efforts.
The Big Data DevOps Lead will enhance Big Data infrastructure efficiency, coordinate inter-team initiatives, and lead architecture efforts. Responsibilities include maintaining system reliability, deploying monitoring tools, and implementing disaster recovery practices. On-call support for production systems is also required.
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