CRS Data Analyst III, Research Technologies
Seattle, WA, United States
Full Time Senior-level / Expert USD 91K - 136K
UNAVAILABLE
Learn about job opportunities, fellowships and internships at Fred Hutch.Overview
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.
With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.
At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.
The CRS Sr. Data Analyst – Research Technologies, analyzes and transforms operational data to inform and influence strategic decisions; translates data into actionable narrative by rigorously analyzing operational data and performing predictive modeling, data visualization, and storytelling.
At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect.
This role will have the opportunity to work partially at our campus and remotely.
Cover letters are optional but highly encouraged.
Responsibilities
- Analyze operational data and business problems to identify trends, correlations, and insights to inform strategic decisions.
- Produce and present meaningful reports, dashboards, and visualizations to illustrate key metrics.
- Create predictive models to forecast trends in effective ways; deliver actionable insight.
- Collaborate with cross-functional teams to understand data needs, process data and provide meaningful solutions.
- Use professional knowledge and departmental or organizational objectives to influence data analysis methodologies and interpretation of insights; translates data into clear and concise insights and stakeholder presentations.
- Ensure compliance with applicable data privacy regulations and industry standards methodologies when handling and analyzing sensitive data.
- Lead analysis & implementation of research emerging technologies including integration of EHR data with research systems and associated dashboarding.
- May participate in designing tools for data & workflow processes including surveys and other reporting mechanisms.
- Other duties as assigned.
Qualifications
MINIMUM QUALIFICATIONS:
- Bachelor’s degree in Information Systems, Informatics, Finance or Accounting, with 5 years of experience working in data analytics or Masters Degree with 3 years of experience working in data analytics or a related role
- Proficiency in data analysis and data visualization tools/software (e.g., Excel, Tableau, Power BI, Python).
- Proven ability to communicate effectively with colleagues at all levels, including executive leadership.
- Knowledge of data governance best practices.
- Exceptional attention to detail and critical thinking skills.
- Demonstrated learning agility.
- Practical understanding of department-specific processes and systems
PREFERRED QUALIFICATIONS:
- Master's degree in a field related to the department’s operations, Business Analytics, or another related field.
- Extensive experience with Tableau, Smartsheet, OnCore CTMS.
- Professional certification related to the department’s business operations.
- Experience with AI/Machine Learning tools and predictive modeling.
- Previous experience in delivering to end users reports and/or extracts.
- Accounting and/or Finance experience highly beneficial.
The annual base salary range for this position is from $91,333 to $136,968, and pay offered will be based on experience and qualifications. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months).
Additional Information
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.Tags: Business Analytics Data analysis Data Analytics Data governance Data visualization Excel Finance Machine Learning Nonprofit Power BI Predictive modeling Privacy Python Research Security Tableau
Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Paid sabbatical Parental leave
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