Job Description We are seeking a highly skilled Staff Data Analyst to join our Data & Analytics team. The ideal candidate will be responsible for collecting, analyzing, and interpreting complex data sets to drive strategic business decisions. This role requires a deep understanding of data analytics, statistical modeling, and business intelligence tools. The Staff Data Analyst will be responsible for leading multiple complex projects, defining requirements, providing technical expertise, and guiding the BI reporting team to develop insights, optimize processes, and improve data-driven decision-making across the organization. This role requires that you work onsite at our office in Palo Alto, CA in accordance with our hybrid policy. Key Responsibilities: Collaborate with multiple teams to understand business objectives and translate them to system and data requirements. Ensure that business requirements align with data availability and quality constraints and map data sources to relevant KPIs. Document the requirements in JIRA, provide acceptance criteria, and groom the backlog with the Data Engineering and QA team. Analyze large and complex datasets to provide actionable business insights. Perform statistical analyses and predictive modeling to identify trends and opportunities. Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs). Utilize SQL, Python, and other programming languages for data extraction and analysis. Present findings and recommendations to stakeholders and senior leadership in a clear and concise manner. Work with database management systems and data warehouses to structure and organize data efficiently. Establish and maintain a comprehensive data catalog, ensuring data accuracy, integrity, and adherence to governance policies for data assets. Drive innovation in data visualization and reporting by exploring new tools and technologies. Mentor and guide BI Engineers. Stay up to date with industry trends, emerging technologies, and best practices in data analytics. Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. 10+ years of experience in data analysis, business intelligence, or a related role with strong analytical and problem-solving skills. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools such as Tableau, Power BI, or Looker. Strong statistical and analytical skills with experience in Python, R, or similar programming languages. Knowledge of machine learning techniques and predictive modeling is a plus. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to translate data findings into business insights. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Experience working in an Agile development model using JIRA or similar project management tools. Experience working with cloud platforms such as AWS, Google Cloud, or Azure is a plus. Experience in the healthcare industry and understanding the regulations, standards, and processes such as HIPAA, CAP/CLIA, and FDA compliance. Experience and understanding of Billing, Reimbursement, and Claims Adjudication process in healthcare is a huge plus. Familiarity with HL7, FHIR, and EMR integrations is a plus. Additional Information Hybrid Work Model: At Guardant Health, we have defined days for in-person/onsite collaboration and work-from-home days for individual-focused time. All U.S. employees who live within 50 miles of a Guardant facility will be required to be onsite on Mondays, Tuesdays, and Thursdays. We have found aligning our scheduled in-office days allows our teams to do the best work and creates the focused thinking time our innovative work requires. At Guardant, our work model has created flexibility for better work-life balance while keeping teams connected to advance our science for our patients. For positions based in Palo Alto, CA or Redwood City, CA, the base salary range for this full-time position is $138,800-187,380. The range does not include benefits, and if applicable, bonus, commission, or equity. Within the range, individual pay is determined by work location and additional factors, including, but not limited to, job-related skills, experience, and relevant education or training. If you are selected to move forward, the recruiting team will provide details specific to the factors above. Employee may be required to lift routine office supplies and use office equipment. Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment. Ability to sit for extended periods of time. Guardant Health is committed to providing reasonable accommodations in our hiring processes for candidates with disabilities, long-term conditions, mental health conditions, or sincerely held religious beliefs. If you need support, please reach out to View email address on click.appcast.io . Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. All your information will be kept confidential according to EEO guidelines. To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our Privacy Notice for Job Applicants . Please visit our career page at: . #J-18808-Ljbffr Guardant Health
Job Type
Fulltime role
Skills required
Python, Agile
Location
San Jose, California
Salary
No salary information was found.
Date Posted
March 29, 2025
Guardant Health is seeking a Staff Data Analyst to join their Data & Analytics team in San Jose, California. The role involves analyzing complex data sets to drive strategic business decisions and requires expertise in data analytics and business intelligence tools.