Senior Data Analyst - Sunnyvale, United States - iHealth Labs

Description

Job Description

Job Description

Work Location:
Sunnyvale,

California Salary Range:
$100,000 - $140,000

Job Type:
Full-Time Onsite


Our Company:
Founded in 2010, iHealth Labs is dedicated to empowering people to live healthier lives.

The company is a leading provider of cloud-connected medical devices, personal health care devices, and home-based tests and is at the forefront of the digital health revolution.

In 2018, iHealth launched its Unified Care program to address the issue of managing chronic diseases.

Unified Care specialists support patients at home between doctor's appointments with remote patient monitoring (RPM) and chronic care management (CCM) to achieve better health outcomes.

In November 2021, iHealth's COVID-19 Antigen Rapid Test received Emergency Use Authorization from the U.S. Food and Drug Administration for over-the-counter sales.

Since then, iHealth has become a key supplier of at-home COVID tests to the federal government, state governments, nonprofits, and individual consumers.

iHealth Labs is a leader in digital health solutions, with a mission to revolutionize the healthcare industry by making quality health management accessible and affordable for all.

Job Description

Collect, clean, and analyze large datasets using various tools and programming languages (e.g., SQL, Python, R, Excel, etc.).

Use statistical methods and data visualization techniques to identify trends, patterns, and correlations in the data.

Translate complex data analysis results into clear and actionable insights for stakeholders. Prepare and present reports, dashboards, and visualizations that communicate key findings effectively.

Collaborate with teams across the organization to understand business objectives and offer data-driven solutions to support strategic decision-making.

Ensure data accuracy, consistency, and completeness by implementing data quality checks and validating data sources.

Utilize advanced statistical techniques and machine learning algorithms to build predictive models and generate forecasts for future trends and outcomes.

Work on data pipelines, data warehouses, and data governance processes to maintain a robust and organized data infrastructure.

Stay up-to-date with the latest industry trends, tools, and techniques related to data analysis and data science. Suggest and implement process improvements to enhance data analysis capabilities.


Qualifications:

A bachelor's or master's degree in a relevant field, such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.

Typically, 5+ years of experience in data analysis, preferably in a healthcare or insurance industry.

Previous experience with database management, data manipulation, and data visualization is required.

Proficiency in data querying languages (e.g., SQL) and programming languages (e.g., Python, R) is essential.

Experience with data visualization tools (e.g., Tableau, Power BI, Quicksight, Superset) is preferred.

Strong analytical skills, problem-solving capabilities, and the ability to interpret data and draw meaningful insights.

Excellent written and verbal communication skills to present complex technical findings to non-technical stakeholders effectively.

Business Acumen:
Understanding of business operations, key performance indicators (KPIs), and the ability to connect data insights to business objectives.

The capacity to collaborate with cross-functional teams and work effectively in a team environment.


Benefits:
Medical, Dental, Vision, Life Insurance, and 401K
Paid Time Off, Federal Holidays, and Leaves
Annual Performance-Based Bonus

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