phData is revolutionizing the data industry. As the premier data services provider specializing in Machine Learning and AI services for data and application modernization, we partner with the premier technology companies across the modern data platform like Snowflake, AWS, Azure, Fivetran, GCP and dbt to deliver cutting-edge services and solutions. We’re committed to helping global enterprises overcome their toughest data challenges. Even though we’re growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
phData is a remote-first global company with employees based in the United States, Latin America and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership and trust. Even though we’re growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.
We’re looking for talented Analytics Consultants to help our customers gain tangible value from their data. Our consulting services emphasize analytics enablement, data visualization, data preparation, and data science.
Responsibilities:
Qualifications:
Preferred Experience:
Why phData? We offer:
#LI-DNI
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
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