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Company Description:
Circadia Health is a medical device and data technology company that has developed the world's first FDA cleared contactless remote patient monitoring system. Powered by cutting-edge technology and AI, the system allows for the early detection of medical events such as Congestive Heart Failure, COPD Exacerbations, Pneumonia, Sepsis, UTIs, and Falls.
We're monitoring over 20,000 lives daily and growing rapidly. As we scale our team, Circadia is looking for energetic, personable, and solutions-oriented individuals driven by creating the ultimate customer experience. Prior experience in healthcare is a big plus, but not required.
Our mission is to enhance patient outcomes and improve healthcare processes by providing cutting-edge solutions to healthcare providers and patients alike.
Job Description:
As a Data Analyst, you will be responsible for translating business requirements into actionable insights to influence business and operational strategy. Circadia sits on terabytes of data, most of which is still unexplored - and it’ll be up to you to make sense of it all! Furthermore, you’ll have a unique opportunity of working closely with operations, clinical, marketing, and R&D teams.
We seek a detail-oriented and strategic thinker with a passion for leveraging data to drive business decision-making.
Key Responsibilities:
Leverage SQL and data warehouse technologies such as Snowflake and Redshift to extract, transform, and analyze complex data sets.
Collaborate with cross-functional teams, including product and engineering, to define key performance indicators and metrics.
Develop, maintain, and execute data transformations to support the organization's metrics and analytics needs.
Create and maintain dashboards to visualize data, providing insights that enable data-driven decision-making.
Effectively communicate findings to both technical and non-technical stakeholders, and propose solutions to optimize processes or strategies based on those findings.
Requirements:
4-5 years of experience working as a Data Analyst / BI Engineer at top tech startups or large companies.
Bachelor’s or higher in Mathematics, Engineering, Natural Sciences or a similar numerate degree.
SQL and Data Warehousing: Strong expertise in SQL and familiarity with data warehouse technologies like Snowflake, Redshift or similar. Proficiency in writing, optimizing, and debugging complex queries is required.
Basic knowledge of Python and related packages such as pandas and numpy.
Data Visualization: Proficient in data visualization tools (Preset, Tableau, PowerBI or similar), with the ability to create dynamic dashboards and reports that effectively present complex data sets.
Analytical Skills: Excellent analytical abilities with the capacity to collect, organize, and dissect large amounts of data with attention to detail and accuracy.
Problem-Solving Skills: Exceptional problem-solving capabilities to tackle complex business problems, and the ability to propose data-driven solutions.
Communication Skills: Strong communication skills to present findings and translate complex data insights to both technical and non-technical stakeholders.
Benefits:
Full Single Coverage Health Care Plan (Medical, Dental & Vision)
Retirement Plan Contribution (401k, IRA)
Car lease allowance and mileage reimbursement
Hybrid Role - Ability to work from home when not onsite / office
Paid Time Off ~1.75 days per month (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)Professional Training & Development
Annual Company Retreat
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Full Time
$94k-123k (estimate)
07/29/2023
09/11/2024
circadiahealthcare.com
<25
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Data analysts typically work with existing data to solve defined business problems.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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