Organizational Insight Analyst
Organizational Insight Analyst
Job Number: 73720
Would you describe yourself as an organized and methodical person with a strong sense of curiosity?
Are you intrigued by the challenge of transforming large and complex datasets into a cohesive and compelling story?
Do you enjoy answering analytical questions (e.g., why, what if) using statistical techniques, data mining, and modeling?
If you answered “yes” to all of these questions, then you are the ideal candidate for a new position in the Reporting & Analytics (R&A) team at the School of Medicine as an Organizational Insight Analyst (OIA). The OIA will be responsible for analytical projects, reports, and metrics related to all aspects of the School's research mission. Using Stanford's business intelligence (BI) systems, and other internal/external data sources, the OIA will develop and deliver proactive analyses (i.e., descriptive, predictive, and prescriptive analytics) that will contribute to the understanding and decision making of leadership at the School and University, as well as the entire School of Medicine community. Part of this work will be focused on the enhancement of existing R&A reports through supplementary information that provides context and/or insight into the provided data. This role is a critical component for all of the core activities of the team, and reports directly to the Associate Director for Reporting & Analytics.
The Organizational Insight Analyst will work closely with the Associate Director on the presentation of analysis and/or key trends and the visualization of information. S/he will work with the Business Intelligence Analyst to develop new reports (in response to analytical requests and for reporting to leadership on initiatives and issues), and will also interact with users of analytical information and other stakeholders throughout the School of Medicine to identify the most meaningful and cogent information that will meet their business and strategic needs. This position will support, and is funded by, the NIH's Clinical and Translational Awards (CTSA) Program, which is designed to promote the efficient transformation of scientific discoveries into clinical advances.
- Answer questions by developing research methodology, gathering data and/or using appropriate statistical techniques on available data.
- Drive collection of new data and the refinement of existing data sources; apply and use algorithms or other advanced techniques to accomplish this.
- Fully analyze the problem, question existing processes and assumptions, gather data and information, find and evaluate alternative solutions, and propose best course of action.
- Explore data from multiple angles, determine meaning behind the data, and recommend ways to apply the data.
- Communicate, convey, and visualize informed conclusions and recommendations across an organization's leadership structure in a manner to “tell the story” behind the data and influence how organization approaches the challenge.
- May interact with and influence senior leaders, faculty, and/or senate with written summaries and/or presentations on assigned research.
- Through data, may predict what actions will be taken in a designated time frame for a prescribed issue/challenge.
- Maintain high levels of data integrity in all of Reporting & Analytics' reports and deliverables
- May need to collaborate with other organizations to gather data. Proactively seek and locate data, including outside benchmarks or comparative data, to support or refute proposed decisions.
Please note that a cover letter, in addition to your resume, is required for consideration of this position
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor degree in a relevant technical field and four years' extensive experience or combination of education and relevant technical field experience solving analytical problems using quantitative approaches.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
- Proficiency in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Extensive experience in and strong passion for empirical research and answering hard questions with data.
- Interpersonal and communication skills to positively convey findings and influence senior leadership & faculty.
- Demonstrated experience querying, processing, analyzing, and reporting on large data sets.
- Ability to use data retrieval and manipulation tools such as SQL, Brio Query, Business Objects, etc.in conjunction with visual data tools to present data clearly to non-technical audiences.
- Familiarity and experience with intermediate statistical methods; advanced proficiency with statistical tools such as SPSS, SAS, R or similar tools.
- Ability to tell stories with data using data visualization software such as Tableau, Excel, SPSS, or similar software in conjunction with strong verbal ability.
- Ability to use visual data tools to present data clearly to non-technical audiences.
- Flexible analytical approach allowing for results at varying levels of precision.
- Experience in all phases of research conducted at an academic institution is preferred.
- Excellent project management skills.
- Constantly perform desk-based computer tasks.
- Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.
- Occasionally write by hand, twist, bend, stoop and squat.
- Rarely stand, walk, reach or work above shoulders and use a telephone.
- May work extended hours during peak business cycles.
- Travel locally, around campus
- Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
- Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
- Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
Job: Information Analytics
Location: School of Medicine
To be considered for this position please visit our web site and apply on line at the following link: stanfordcareers.stanford.edu
Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.