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    Data Architect Data Analytics - San Francisco, CA, United States - Philpar

    Philpar
    Philpar San Francisco, CA, United States

    3 weeks ago

    Default job background
    Description
    Accepting US residents only at this time.

    At Alinea, we are a rapidly expanding SaaS Healthtech enterprise, driving daily operations for thousands of therapists, while also revolutionizing patient and family engagement on the front-end.

    Our platform offers a robust suite of tools, and we're currently seeking a talented and insightful Data Analytics Architect.

    This role is central to both our internal operations and customer-facing services, tasked with harnessing the power of data to enhance our software, optimize its use, and steer our future development initiatives.

    As our SaaS Data Analytics Architect, you will be the central pillar in fostering data-driven decision-making. Your expertise in SQL and various data analytics tools will be instrumental in deciphering client and system data.

    You will blaze new trails in devising innovative strategies for tracking and alerting on data utilization, and you'll empower product decisions by providing actionable insights.

    This is an exceptional opportunity for a data enthusiast who is ready to make a lasting impact on the SaaS landscape.

    Architect, design, and support data warehouse implementations, integrating them into both front-end and back-end systems.
    Utilize SQL for writing, optimizing, and executing complex data queries for business and system reporting.

    Develop and implement cutting-edge data analytics tools and systems to enhance both internal and external stakeholders' understanding and usability of data.

    Analyze current data architecture and suggest improvements for enhanced performance and scalability.
    Assist in developing our data strategy, including planning for future reporting and analytics needs.

    Liaise with various stakeholders, including management and client representatives, to ensure that the data analytics solutions align with the company goals and client needs.

    Stay up-to-date with the latest industry trends in data analytics and SaaS to suggest and implement new technologies or systems.

    Excellent knowledge of SQL and other database technologies.
    Experience with data analytics tools and methodologies.
    Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
    Familiarity with cloud-based systems and platforms is preferred.
    Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field.
    Comment with your Google account if you'd like to be able to manage your comments in the future.
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