Top Data & Analytics Jobs in San Francisco, CA
The Program Reporting Analyst is responsible for producing month-end and surplus lines reporting, analyzing financial data, maintaining reporting tools, ensuring regulatory compliance, and collaborating with cross-functional teams to improve reporting processes and accuracy.
The Senior Support Analyst leads quality activities, resolves complex software and technical issues, and enhances user experience for WellSky's applications. Responsibilities include supporting client satisfaction, documenting issues, collaborating with teams, and ensuring timely resolutions and quality controls.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
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The Data Engineer at AHEAD will build and support data platforms, design data pipelines for analytics and machine learning, and implement solutions using cloud-native tools. Responsibilities include processing data from diverse sources, troubleshooting issues, and collaborating with project teams to ensure timely delivery of data solutions.
The Data Scientist II will develop predictive models using machine learning principles, prepare and clean data, and utilize cloud resources for data processing. Responsibilities include querying databases, applying data analysis, and visualizing results to support business strategies in a collaborative and fast-paced environment.
As a Data Architect, you will design, implement, and maintain a robust data architecture, supporting advanced analytics and business intelligence initiatives. You will collaborate with cross-functional teams to integrate data from various sources, create and maintain data models, establish data governance policies, and identify performance optimization opportunities.
The Data Architect will design and optimize the organization's data infrastructure to align with business goals and enhance data-driven decision-making. Responsibilities include developing data solutions using various Azure services, managing data architecture, ensuring compliance with regulations, and collaborating with cross-functional teams to meet data infrastructure needs.
As a Forecasting Modeling Principal at Guild, you will lead the development and implementation of advanced forecasting models, partner with various teams to drive strategic decisions, and mentor junior members. You will be responsible for producing insights and analyses to guide internal stakeholders and manage client programs effectively.
As a Data Operations Engineer at Podium, you'll manage data flow, optimize systems, and support engineering teams in using various data technologies, particularly Elasticsearch. You'll focus on performance tuning, automating infrastructure with Terraform and Ansible, and contributing to AI initiatives for local businesses. This role emphasizes collaboration and innovation in a fast-paced environment.
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