Data Analyst (Remote)
Susan G. KomenJob Description
Posted on: December 16, 2024
WHO WE ARE! Susan G. Komen brings a home office based working environment for each specified local community. We are a force united by a promise to end breast cancer forever. For over 40 years, we've led the way by funding groundbreaking research, community health initiatives and advocacy programs in local communities across the U.S. and in more than 30 countries. Susan G. Komen is the ONLY organization that addresses breast cancer on multiple fronts such as research, community health, outreach and public policy initiatives to make the biggest impact against this disease. Komen strives to have a culture of passionate, growth-minded professionals who thrive in a team environment and work collaboratively to inspire greatness in others! We take an ongoing approach to ensure open communication from all levels throughout the organization. It’s encouraged to give and receive feedback to ensure two-way accountability with a focus on continual improvement both personally and professionally! What you will be doing in the role of a Data Analyst The primary objective of the Data Analyst is to support the implementation and use of the ShareForCures (SFC) platform, Komen’s breast cancer research registry, for research projects and associated programs that are part of Komen’s Big Data for Breast Cancer (BD4BC) Initiative. What You Will Bring To The Table
- Work closely with Data Science Manager to implement the SFC platform, including managing requests for proposals (RFPs) to select the most appropriate vendors to provide services for SFC. Work with SFC vendors, as needed, to facilitate efficient data collection and processing and ensure quality deliverables are received.
- Work closely with Data Science Manager to monitor progress toward milestones, objectives and outcomes related to the participation in and use of SFC. Create reports and other materials as instructed to ensure internal and external stakeholders are apprised of progress and impact.
- Support the use of SFC by a variety of researchers to fuel breast cancer research and discovery. Contribute to the development of SOPs and other documentation required to support the day-to-day activities of researchers in SFC.
- Work with Data Science Manager, advisors, and/or external researchers, to explore, mine, process, aggregate/curate and visualize datasets from SFC and/or other sources. Perform quality control checks and measures. Reorganize data in a format that can be easily read. Filter and prepare data for use by researchers.
- Perform complex analyses and apply statistical tools and data science methods to interpret data sets and extract trends and patterns that could be valuable for assembling cohorts, hypothesis generation, predictive analytics, and troubleshooting. Query data, tabulate summary statistics, and create visual representations (charts, graphs, and other methods) to effectively describe the registry (including its participants, research data, uses) and communicate trends and patterns in datasets.
- Provide subject matter expertise to develop, implement, and maintain databases, data collection systems, data analytics and other strategies that optimize data collection, data quality and data use to accomplish programmatic goals. Provide support and expertise to other research projects and BD4BC programs as needed.
- Support collaboration with appropriate business units and IT/engineering teams to provide feedback on long term data platform architecture, process improvements, and data-related policies, procedures, and governance. Create appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis, as needed.
- Assist with the management of data requests/research proposals, as needed.
- Perform all activities in compliance with conducting research with human subjects and with all Komen’s policies and procedures. Escalate significant issues to Data Science Manager or Sr. Director, Data Science, as needed.
- Perform all other duties as assigned.
We know you will have and be able to
- Bachelor’s degree in mathematics, Statistics, Economics, Finance, or Computer Science and 2-5 years’ work experience.
- Demonstrated technical expertise regarding data models, database design, data mining and segmentation techniques, including coding skills in languages such as SQL, Python and/or R; spreadsheet tools such as Microsoft Excel or Google Sheets; and data visualization software such as Tableau, PowerBI, or Qlik. Mathematical and statistical skills are also valuable to help gather, measure, organize, and analyze data.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Adept at queries, report writing, and presenting/communicating findings. Ability to communicate complex ideas in a clear and straightforward manner, tailoring messaging to diverse audiences.
- Knowledge of the health care industry, with an emphasis on the use of health data and of technology in health care.
- A team-oriented attitude, strong cross-functional collaboration skills and proven ability to work in a matrixed, global organization with remote staff.
- Self-motivated and willing to take responsibility and ownership for timely and high-quality work. Ability to follow instructions and execute plans. Proven ability to manage multiple projects simultaneously.
- High degree of professionalism, maturity, and commitment to integrity of sensitive information.
We would love if you also have
- Expertise in applying data science methods and working with health data.
- Experience working with disparate datasets and/or data from diverse communities, particularly those underrepresented in research.
- Experience working as data analyst on clinical, health research, and/or scientific projects.
- Experience working with data from multiple data sources, including patient registries, state or federal agencies, health care programs and/or Medicare or Medicaid is a plus
- Familiarity with database/CRM software (Salesforce), survey software (Qualtrics), and/or collaboration/project management tools such as Asana preferred.
- Advanced level of computer/technical skills, including proficiency with coding languages (SQL, Python and/or R), spreadsheet tools (Microsoft Excel, Google Sheets) and visualization software (Tableau, PowerBI, or Qlik).
So, what's in it for you? Komen Believes In The Importance Of Taking Care Of Our Employees So That In Turn They Can Be Committed To Supporting Our Critical Mission To Support Those Impacted By Breast Cancer And To Help Find Cures. This Is What Komen Provides Away From The Computer Approximate salary $42,000 to $55,000/annually, exact compensation ranges are based on various factors including the labor market, job level, internal equity and budget. Exact salary offers will be determined by factors such as the candidate's skills, experience and geographic location.
- Health, dental, vision and a retirement plan with a 6% employer match
- Generous Paid Time Off Plan
- Flexible work arrangement in a fully remote working environment
- Bi-weekly work from home stipend
- Parental leave
- Tuition Reimbursement
- A culture of learning and development
- And so much more!
Komen provides a remote and/or home-based working environment for all active employees. Komen defines remote as the ability to work from any physical location within the U.S. where an employee can perform specified work duties without disruption or distraction. Komen defines home-based roles as positions that are required to reside in a specific market. Work schedules for both remote and home based are determined by the organizational needs of each department. Susan G. Komen is fair and equal in all of its employment practices for persons without regard to age, race, color, religion, gender, national origin, disability, veteran status or sexual orientation. Additionally, we embrace Diverse Teams & Perspective, and we find strength in the diversity of cultural backgrounds, ideas, and experiences. SORRY NO AGENCIES
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