Top Remote Data & Analytics Jobs in Tucson, AZ

The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.

As a Senior Product Analyst, you'll lead product analytics initiatives, transforming raw data into actionable insights to guide product development and user engagement. Collaborating with cross-functional teams, you'll analyze user behavior, develop metrics and dashboards, and deliver data-driven recommendations to enhance product strategy.

As a Lead Data Scientist, you will focus on improving the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques. You will lead technical strategies, mentor engineers, and oversee data science projects from concept to deployment, integrating with the identification platform and enhancing the team’s technical expertise.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.

The BI Analyst will develop data tables and visualizations to enhance business visibility, track KPIs, and analyze complex datasets. They will communicate technical concepts to non-technical stakeholders and improve decision-making processes through relevant analytics and reporting.

The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.