Data Analyst - Marketing



Marketing & Communications, IT, Data Science
San Mateo, CA, USA
Posted on Saturday, April 27, 2024

Notable is the leading intelligent automation company for healthcare. Customers use Notable to drive patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We don’t just make software. We are on a mission to fix the broken U.S. healthcare system by helping to eliminate the massive administrative burden that is placed on our nation’s healthcare staff. We hire people from diverse backgrounds and are always looking for employees who bring fresh ideas to our space. Passion is paramount, and at Notable, you will get to work with other talented people who aim to set the new standard for innovation in healthcare.

To support and accelerate our growth, we’re hiring a data analyst to oversee all data and insights, ensuring we have clean, accurate, and up-to-date data that can make the entire sales and marketing team smarter and more effective.

You will…

  • Own data hygiene and accuracy, conducting regular data cleanup and validation efforts.

  • Perform data analysis across systems to generate meaningful insight.

  • Implement and configure BI tools to visualize data from across systems.

  • Build and maintain Salesforce dashboards that support the entire go-to-market team.

  • Collaborate with sales and marketing to determine campaign targeting.

  • Collaborate with finance to build Salesforce to Mosaic data pipeline.

  • Build and refine campaign lists for email marketing, direct mail, and paid media.

  • Provide data-driven recommendations to stakeholders and executives.

You're a great fit for our team because you...

  • Have 4+ years of relevant experience in a data analysis or business intelligence role.

  • Are proficient in SQL, Python, Salesforce, and at least one BI tool.

  • Have experience pulling data using low-code tools or APIs.

  • Are experienced with one of more IPaaS tools (Workato, Zapier).

  • Are an effective communicator and presenter.

  • Proactively spot and flag trends and/or gaps.

  • Are able to translate data into insights that are easily understandable and actionable.

  • Have a keen eye for detail and a commitment to data accuracy and cleanliness.

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